diff --git a/03-supplementary_data/lib.bib b/03-supplementary_data/lib.bib index a531428..75be274 100644 --- a/03-supplementary_data/lib.bib +++ b/03-supplementary_data/lib.bib @@ -18,7 +18,8 @@ journal = {The World Bank Research Observer}, issn = {0257-3032, 1564-6971}, doi = {10.1093/wbro/lkab003}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {out::title} } @article{Abe2013, @@ -47,7 +48,8 @@ pages = {43}, issn = {2214-9996}, doi = {10.5334/aogh.3269}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {out::title} } @article{Aboudi2014, @@ -63,7 +65,8 @@ doi = {10.1111/jpet.12074}, urldate = {2023-11-20}, abstract = {Abstract There is an irreducible conflict between, on the one hand, the desire to allocate income in society in an equitable way and, on the other, the desire to alleviate poverty. The conflict materializes itself in the problem of designing a basic income (or negative income tax) system which requires formulating a workable compromise. This paper approaches the problem through solving a mathematical program whose utility-based objective function explicitly embodies both considerations. The solution describes a simple basic income system and its comparative statics indicate how the specification of the objective function leads to a more, or less, pro-poor solution.}, - langid = {english} + langid = {english}, + keywords = {cite::framework,out::abstract,type::ubi} } @article{Abraham2022, @@ -79,7 +82,9 @@ issn = {1120-2890, 1973-820X}, doi = {10.1007/s40888-021-00234-8}, urldate = {2023-11-20}, - langid = {english} + abstract = {The Covid-19 pandemic has created unprecedented disruptions in labour markets across the world including loss of employment and decline in incomes. Using panel data from India, we investigate the differential impact of the shock on labour market outcomes for male and female workers. We find that, conditional on being in the workforce prior to the pandemic, women were seven times more likely to lose work during the nationwide lockdown, and conditional on losing work, eleven times more likely to not return to work subsequently, compared to men. Using logit regressions on a sample stratified by gender, we find that daily wage and young workers, whether men or women, were more likely to face job loss. Education shielded male workers from job loss, whereas highly educated female workers were more vulnerable to job loss. Marriage had contrasting effects for men and women, with married women less likely to return to work and married men more likely to return to work. Religion and gender intersect to exacerbate the disproportionate impact, with Muslim women more likely to not return to work, unlike Muslim men for whom we find religion having no significant impact. Finally, for those workers who did return to work, we find that a large share of men in the workforce moved to self-employment or daily wage work, in agriculture, trade or construction. For women, on the other hand, there is limited movement into alternate employment arrangements or industries. This suggests that typical `fallback' options for employment do not exist for women. During such a shock, women are forced to exit the workforce whereas men negotiate across industries and employment arrangements.}, + langid = {english}, + keywords = {cite::channels,country::India,inequality::gender,out::abstract,region::AP} } @article{Acosta2020, @@ -96,7 +101,8 @@ doi = {10.1097/ACM.0000000000003610}, urldate = {2023-11-24}, abstract = {Across academic medicine, and particularly among faculty and medical school leadership, the status quo is unacceptable when it comes to gender diversity, equity, and inclusion. The Association of American Medical Colleges has launched a bold gender equity initiative, endorsed by its Board of Directors, to implore academic medical institutions to take meaningful and effective actions. Defining what progress should look like to guide these actions is worth deeper exploration. It is not enough to measure the representation of different genders at various levels of leadership within our institutions. Research and experience we share suggests more must be done, especially for women of diverse racial and ethnic backgrounds. What is needed is a fundamental conversation about privilege, intersectionality across different backgrounds, and progress. Institutional leaders have a choice to make. Will we make gender equity a top priority system-wide because we recognize that doing so leads to organizational excellence? Do we understand that establishing a robust, comprehensive definition of gender equity and how it is practiced will result in better outcomes for all? And are we ready and able to prioritize and be accountable for efforts that are measurable, with clear definitions of progress; driven and reinforced by leadership directives; inclusive of all, including men as well as women of diverse backgrounds and orientations; and systemic rather than ad-hoc? Implementing such actions requires initiating difficult conversations, making conscious choices, and modeling best practices from leaders who have successfully made gender equity a priority.}, - langid = {english} + langid = {english}, + keywords = {inequality::gender,method::qualitative,out::abstract} } @article{Adams2020, @@ -107,7 +113,8 @@ issn = {1556-5068}, doi = {10.2139/ssrn.3601651}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Adda2017, @@ -137,7 +144,8 @@ issn = {0735-2166, 1467-9906}, doi = {10.1111/0735-2166.00002}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Adelman2005, @@ -169,7 +177,8 @@ issn = {0739-9332, 1096-4665}, doi = {10.1080/07399332.2021.1885408}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Adler1994, @@ -184,7 +193,8 @@ issn = {1935-990X, 0003-066X}, doi = {10.1037/0003-066X.49.1.15}, urldate = {2023-11-24}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Adriana2006, @@ -218,7 +228,8 @@ doi = {10.1007/s40888-021-00242-8}, urldate = {2023-11-20}, abstract = {Abstract This paper argues that the gendered impact of COVID-19 has both visible and hidden dimensions, and both immediate effects linked with lockdowns and longer-term effects that are likely to emerge sequentially in time and affect recovery. Much of the existing feminist literature on the impact of COVID-19 has neglected these complexities and focused mainly on care work and domestic violence. This has diverted attention away from other key concerns such as livelihood loss, food and nutritional insecurity, indebtedness, rising poverty, and the low resilience of most women in developing economies. Even care work and domestic violence have complex facets that tend to be missed. Using examples from India, the paper outlines the kinds of gendered effects we might expect, the extent to which these have been traced in existing surveys, and the data gaps. It also highlights the potential of group approaches in enhancing women's economic recovery and providing social protection from the worst outcomes of the pandemic{\textemdash}approaches that could guide us towards effective policy pathways for `building back better.'}, - langid = {english} + langid = {english}, + keywords = {country::India,inequality::gender,out::abstract,region::AP} } @article{Aguero2008, @@ -265,7 +276,8 @@ doi = {10.1177/0886260521997953}, urldate = {2023-11-20}, abstract = {The objectives of this study were to correlate several factors - including depression, anxiety, stress and self-esteem levels in both men and women - with the occurrence of domestic violence against women (VAW) during quarantine. This cross-sectional study was carried out in April 2020, in the midst of the COVID-19 pandemic when lockdown procedures were implemented; 86 married couples participated in this study amounting to 172 responses in total. A different questionnaire was set for women and men; the couple filled out their respective questionnaire simultaneously, but privately where one did not see the answers of the other. Inclusion criteria included married couples of all ages that are living together during the lockdown of COVID-19. The results of this study showed that a higher total abuse score was found in 39 females (45.3\%; CI: 0.34 - 0.56). Being a Muslim female (Beta =24.80) and females having higher anxiety (Beta=0.97) were significantly associated with higher total abuse scores, whereas higher stress score in female (Beta=-0.61) was significantly associated with lower total abuse scores. In conclusion, this study focuses on VAW as a serious problem while demonstrating its further emergence during quarantine. This study also focused on the effects brought on by lockdown policies, including social and economic factors, and their implications in the increase of VAW during this pandemic.}, - langid = {english} + langid = {english}, + keywords = {inequality::gender,out::abstract} } @article{Akhter2021, @@ -281,7 +293,8 @@ doi = {10.1186/s12884-021-04284-5}, urldate = {2023-11-20}, abstract = {Abstract Background Like many countries, the government of Bangladesh also imposed stay-at-home orders to restrict the spread of severe acute respiratory syndrome coronavirus-2 (COVID-19) in March, 2020. Epidemiological studies were undertaken to estimate the early possible unforeseen effects on maternal mortality due to the disruption of services during the lockdown. Little is known about the constraints faced by the pregnant women and community health workers in accessing and providing basic obstetric services during the pandemic in the country. This study was conducted to explore the lived experience of pregnant women and community health care providers from two southern districts of Bangladesh during the pandemic of COVID-19. Methods The study participants were recruited through purposive sampling and non-structured in-depth interviews were conducted. Data was collected over the telephone from April to June, 2020. The data collected was analyzed through a phenomenological approach. Results Our analysis shows that community health care providers are working under tremendous strains of work load, fear of getting infected and physical and mental fatigue in a widely disrupted health system. Despite the fear of getting infected, the health workers are reluctant to wear personal protective suits because of gender norms. Similarly, the lived experience of pregnant women shows that they are feeling helpless; the joyful event of pregnancy has suddenly turned into a constant fear and stress. They are living in a limbo of hope and despair with a belief that only God could save their lives. Conclusion The results of the study present the vulnerability of pregnant women and health workers during the pandemic. It recognizes the challenges and constraints, emphasizing the crucial need for government and non-government organizations to improve maternal and newborn health services to protect the pregnant women and health workers as they face predicted waves of the pandemic in the future.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Akhter2022, @@ -297,7 +310,8 @@ issn = {2331-186X}, doi = {10.1080/2331186X.2022.2028342}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Al-Bari2021, @@ -311,7 +325,8 @@ pages = {1--18}, issn = {1949-8470}, doi = {10.4329/wjr.v13.i1.1}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {out::title} } @article{Al-Mamun2014, @@ -325,7 +340,9 @@ issn = {1548-2278}, doi = {10.1353/jda.2014.0030}, urldate = {2023-11-20}, - langid = {english} + abstract = {The main goal of this study was to assess the impact of participation in Amanah Ikhtiar Malaysia's (AIM) microcredit program on the empowerment among urban low-income women in Peninsular Malaysia. To attain the above mentioned objective, this study utilized a cross-sectional design using stratified random sampling method to examine whether or not participation in AIM's microcredit program improved urban low-income clients' role in household decision making, helped the clients achieve economic security, gain more control over resources and family decisions, improve their ability to go outside to work and improve their level of legal awareness. Findings of this study revealed that participation in AIM's microcredit program generated a positive and significant impact on women's empowerment in Urban Peninsular Malaysia. The results suggest that AIM should, therefore, focus on increasing the outreach by targeting urban low-income women. The policy makers should focus on establishing a supportive regulatory environment to promote sustainable development of all microcredit organizations in urban Malaysia.}, + langid = {english}, + keywords = {country::Malaysia,inequality::gender,inequality::spatial,region::AP,relevant,TODO::full-text,type::microcredit} } @article{Al-Zaman2020, @@ -340,7 +357,8 @@ issn = {0002-9637, 1476-1645}, doi = {10.4269/ajtmh.20-0826}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{AlAmmari2021, @@ -354,7 +372,8 @@ issn = {1664-0640}, doi = {10.3389/fpsyt.2020.619540}, urldate = {2023-11-20}, - abstract = {Objectives: The study aimed to assess the mental health outcomes and associated factors among health care workers during COVID 19 in Saudi Arabia. Design, Setting, and Participants: We conducted a cross-sectional survey of health care workers from tertiary care and ministry of health Centers across the Central, Eastern, and Western regions of Saudi Arabia. There were 1,130 participants in the survey, and we collected demographic and mental health measurements from the participants. Primary Outcomes and Measures: The magnitude of symptoms of depression, anxiety, and insomnia was measured using the original version of 9-item patient health questionnaire (PHQ-9), the 7-item generalized anxiety disorder scale (GAD-7), and 7-item insomnia severity index (ISI). We use the multiple logistic regression analysis to identify the associated risk factors of individual outcomes. Results: The scores on the PHQ-9 showed that the largest proportion of health care workers (76.93\%) experienced only normal to mild depression (50.83 and 26.1\%, respectively). The scores on the GAD-7 showed that the largest proportion of health care workers (78.88\%) experienced minimal to mild anxiety (50.41 and 28.47\%, respectively). The scores on the ISI showed that the largest proportion of health care workers (85.83\%) experienced absence to subthreshold insomnia (57.08 and 28.75\%, respectively). The risk factors for depression in health care workers were Saudi, living with family, working from an isolated room at home and frontline worker. For anxiety, being female was risk factor and for insomnia, being frontline worker was risk factor. Conclusion: It was observed that the symptoms of depression, anxiety, and insomnia were reported in a lower proportion of health care workers in our study. The participants who were female, frontline workers, Saudi, living with family, and working from home in isolated rooms were predisposed to developing psychological disorders.} + abstract = {Objectives: The study aimed to assess the mental health outcomes and associated factors among health care workers during COVID 19 in Saudi Arabia. Design, Setting, and Participants: We conducted a cross-sectional survey of health care workers from tertiary care and ministry of health Centers across the Central, Eastern, and Western regions of Saudi Arabia. There were 1,130 participants in the survey, and we collected demographic and mental health measurements from the participants. Primary Outcomes and Measures: The magnitude of symptoms of depression, anxiety, and insomnia was measured using the original version of 9-item patient health questionnaire (PHQ-9), the 7-item generalized anxiety disorder scale (GAD-7), and 7-item insomnia severity index (ISI). We use the multiple logistic regression analysis to identify the associated risk factors of individual outcomes. Results: The scores on the PHQ-9 showed that the largest proportion of health care workers (76.93\%) experienced only normal to mild depression (50.83 and 26.1\%, respectively). The scores on the GAD-7 showed that the largest proportion of health care workers (78.88\%) experienced minimal to mild anxiety (50.41 and 28.47\%, respectively). The scores on the ISI showed that the largest proportion of health care workers (85.83\%) experienced absence to subthreshold insomnia (57.08 and 28.75\%, respectively). The risk factors for depression in health care workers were Saudi, living with family, working from an isolated room at home and frontline worker. For anxiety, being female was risk factor and for insomnia, being frontline worker was risk factor. Conclusion: It was observed that the symptoms of depression, anxiety, and insomnia were reported in a lower proportion of health care workers in our study. The participants who were female, frontline workers, Saudi, living with family, and working from home in isolated rooms were predisposed to developing psychological disorders.}, + keywords = {out::title} } @article{Albrecht1999, @@ -370,7 +389,8 @@ pages = {294}, issn = {0022166X}, doi = {10.2307/146347}, - urldate = {2023-11-24} + urldate = {2023-11-24}, + keywords = {issue::age,out::year} } @article{Alderman1995, @@ -385,7 +405,8 @@ issn = {0257-3032, 1564-6971}, doi = {10.1093/wbro/10.1.1}, urldate = {2023-11-24}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Alem2015, @@ -401,7 +422,9 @@ issn = {1360-0818, 1469-9966}, doi = {10.1080/13600818.2014.944123}, urldate = {2023-11-20}, - langid = {english} + abstract = {Previous studies of poverty in developing countries have to a great extent focussed on the characteristics of the household head and used these as proxies for the underlying ability of the household to generate income. This paper uses five rounds of panel data to investigate the persistence of poverty in urban Ethiopia, with a particular focus on the role of intra-household heterogeneity in occupations. Dynamic probit and system generalised method of moments regression results suggest that international remittances and labour market status of non-head household members are important determinants of households' poverty status. Results also show that controlling for these variables and the ``initial conditions problem'' encountered in nonlinear dynamic probit models reduces the magnitude of estimated poverty persistence significantly for urban Ethiopia. These findings have important implications for identifying the poor and formulating effective poverty reduction and targeting strategies.}, + langid = {english}, + keywords = {cite::channels,country::Ethiopia,inequality::generational,inequality::poverty,out::abstract,region::SSA} } @article{Alesina2013, @@ -464,7 +487,8 @@ issn = {25895370}, doi = {10.1016/j.eclinm.2021.100817}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Alwazzan2016, @@ -510,7 +534,8 @@ institution = {{National Bureau of Economic Research}}, doi = {10.3386/w7058}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Anderson2004, @@ -622,7 +647,8 @@ doi = {10.1111/glob.12368}, urldate = {2023-11-20}, abstract = {Abstract The COVID-19 pandemic has triggered unprecedented societal disruption and disproportionately affected global mobility dynamics. Within such a troubled and intensifying crisis, the intersection of migration and gender is even more unsettling. Since the pandemic outbreak, Bangladesh witnessed a colossal crisis among millions of Bangladeshi migrants working overseas{\textemdash}a considerable section of them are women. By highlighting the plight of the Bangladeshi women migrants in the Gulf Cooperation Council (GCC) countries, this study expands the emerging literature that addresses the nexus among migration, pandemic fallout and gendered labour. Redrawing our understanding of globalization from below, the study attempts to further advance the theoretical perspectives on the predicaments of globalization and gendered precarity in contract labour migration. The study argues that the focus on the power asymmetry between the host and sending countries remains too limited to provide a comprehensive understanding of how inequalities are reproduced and transformed. Instead, it suggests that the challenges and disadvantages women migrants endure are embedded in the asymmetries of deep-rooted economic and social structures in tandem with the systemic practice of otherness and exclusion.}, - langid = {english} + langid = {english}, + keywords = {cite::channels,inequality::gender,out::abstract} } @article{Antman2007, @@ -669,7 +695,9 @@ issn = {10176772}, doi = {10.1111/1467-8268.12069}, urldate = {2023-11-20}, - langid = {english} + abstract = {This paper examines the effect of marital status and household size, among other correlates, on poverty in Nigeria, using the Harmonized Nigeria Living Standard Survey (HNLSS) data of 2009/2010. Our logit results show that monogamous marriage, divorce/separation and widowhood are negatively and significantly correlated with the probability of being poor. However, monogamous marriage has the largest probability of reducing poverty in Nigeria. We also find that household size matters in determining poverty in the country: a one-person household negatively and significantly reduces poverty while addition of members to the household progressively increases the probability of being poor. In addition, our results show that there is a significant concave (inverted U-shaped) relationship between age and poverty. Other variables found to significantly reduce the probability of being poor include: being a male, completion of post-secondary education, being in paid household employment, and residence in the North Central and South East geopolitical zones. Variables that increase the probability of being poor in Nigeria include rural residence, possessing no education, being a self-employed farmer, and residence in the North West geopolitical zone of the country.}, + langid = {english}, + keywords = {cite::channels,country::Nigeria,inequality::age,inequality::gender,inequality::poverty,inequality::spatial,out::abstract,region::SSA} } @article{Aoki2003, @@ -700,7 +728,8 @@ pages = {580268}, issn = {1664-0640}, doi = {10.3389/fpsyt.2020.580268}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {out::title} } @article{Ardington2015, @@ -716,7 +745,9 @@ issn = {0013-0079, 1539-2988}, doi = {10.1086/678983}, urldate = {2023-11-24}, - langid = {english} + abstract = {Using a rich longitudinal data set, we examine the relationship between teen fertility and both subsequent educational outcomes and HIV-related mortality risk in rural South Africa. Human capital deficits among teen mothers are large and significant, with earlier births associated with greater deficits. In contrast to many other studies from developed countries, we find no clear evidence of selectivity into teen childbearing in either schooling trajectories or prefertility household characteristics. Enrollment rates among teen mothers only begin to drop in the period immediately preceding the birth, and future teen mothers are not behind in their schooling relative to other girls. Older teen mothers and those further ahead in school for their age prebirth are more likely to continue schooling after the birth. In addition to adolescents' higher biological vulnerability to HIV infection, pregnancy also appears to increase the risk of contracting HIV. Following women over an extended period, we document a higher HIV-related mortality risk for teen mothers that cannot be explained by household characteristics in early adulthood. Controlling for age at sexual debut, we find that teen mothers report lower condom use and older partners than other sexually active adolescents.}, + langid = {english}, + keywords = {out::title} } @article{Arksey2005, @@ -749,7 +780,8 @@ issn = {2214109X}, doi = {10.1016/S2214-109X(20)30116-9}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Arnett2007, @@ -796,7 +828,8 @@ issn = {0734-306X, 1537-5307}, doi = {10.1086/298255}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Ashraf2014, @@ -813,7 +846,8 @@ doi = {10.1257/aer.104.7.2210}, urldate = {2023-11-24}, abstract = {We posit that household decision-making over fertility is characterized by moral hazard since most contraception can only be perfectly observed by the woman. Using an experiment in Zambia that varied whether women were given access to contraceptives alone or with their husbands, we find that women given access with their husbands were 19 percent less likely to seek family planning services, 25 percent less likely to use concealable contraception, and 27 percent more likely to give birth. However, women given access to contraception alone report a lower subjective well-being, suggesting a psychosocial cost of making contraceptives more concealable. (JEL C78, D12, D82, I31, J13, J16, O15)}, - langid = {english} + langid = {english}, + keywords = {cite::channels,country::Zambia,inequality::gender,out::abstract,region::SSA} } @article{Auger2008, @@ -861,7 +895,8 @@ pages = {31}, issn = {00031224}, doi = {10.2307/2092785}, - urldate = {2023-11-24} + urldate = {2023-11-24}, + keywords = {issue::age,out::year} } @article{Bachewe2017, @@ -956,7 +991,9 @@ issn = {1054139X}, doi = {10.1016/j.jadohealth.2021.12.001}, urldate = {2023-11-20}, - langid = {english} + abstract = {Purpose Although there is a growing evidence base on the drivers of child marriage, comparatively little is known about the experiences of married girls in refugee settings and how their development trajectories diverge from those of their nonmarried peers, particularly in the context of the COVID-19 pandemic. Drawing on cross-national panel data from Bangladesh and Jordan, this article explores diversity in child marriage experiences in contexts affected by forced displacement, highlighting how married girls' well-being differs from that of their unmarried peers, and how COVID-19 has reinforced these differences. Methods We analyzed longitudinal survey data{\textemdash}collected pre- and post-COVID-19{\textemdash}from the Gender and Adolescence: Global Evidence study with 293 ever-married and 1,102 never-married adolescent girls. Multivariate regression analysis assessed the well-being of married and unmarried girls across contexts and refugee status, both prior to and during the COVID-19 pandemic. These quantitative data are complemented by in-depth qualitative data from adolescents (n = 112), and key informant interviews with service providers and community leaders (n = 62). Results Our findings highlight that married girls in contexts affected by displacement are disadvantaged in multiple ways, but that the patterning of disadvantage varies across contexts, and that marriage can also have protective effects in certain contexts. The COVID-19 pandemic has, however, served to exacerbate existing inequalities in all contexts. Discussion Although child marriage prevention efforts remain critical, there is also an urgent need for programming that targets married girls in refugee and host communities to mitigate negative outcomes among this vulnerable group.}, + langid = {english}, + keywords = {inequality::age,inequality::gender,out::abstract} } @article{Balbo2013, @@ -1017,7 +1054,8 @@ issn = {2168-8184}, doi = {10.7759/cureus.7923}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Ballet2020, @@ -1081,7 +1119,8 @@ issn = {0960-3123, 1369-1619}, doi = {10.1080/09603123.2020.1802409}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Basutkar2021, @@ -1097,7 +1136,8 @@ issn = {0971-9202, 0975-6434}, doi = {10.1007/s13224-021-01544-4}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Bau2022, @@ -1111,7 +1151,9 @@ issn = {03043878}, doi = {10.1016/j.jdeveco.2022.102839}, urldate = {2023-11-20}, - langid = {english} + abstract = {The COVID-19 pandemic brought the dual crises of disease and the containment policies designed to mitigate it. Yet, there is little evidence on the impacts of these policies on women in lower-income countries, where there may be limited social safety nets to absorb these shocks. We conduct a large phone survey and leverage India's geographically varied containment policies to estimate the association between the pandemic and containment policies and measures of women's well-being, including mental health and food security. On aggregate, the pandemic resulted in dramatic income losses, increases in food insecurity, and declines in female mental health. While potentially crucial to stem the spread of COVID-19, the greater prevalence of containment policies is associated with increased food insecurity, particularly for women, and reduced female mental health. For surveyed women, moving from zero to average containment levels is associated with a 38\% increase in the likelihood of reporting more depression, a 73\% increase in reporting more exhaustion, and a 44\% increase in reporting more anxiety. Women whose social position may make them more vulnerable {\textendash} those with daughters and those living in female-headed households {\textendash} experience even larger declines in mental health.}, + langid = {english}, + keywords = {out::abstract} } @article{Bauer2011, @@ -1141,7 +1183,8 @@ pages = {253}, issn = {0022166X}, doi = {10.2307/144975}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{Bawden1970, @@ -1157,7 +1200,8 @@ issn = {0002-9092, 1467-8276}, doi = {10.2307/1237396}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Baye2006, @@ -1189,7 +1233,9 @@ issn = {1943-9342, 1943-9407}, doi = {10.1080/19439342.2014.974200}, urldate = {2023-11-20}, - langid = {english} + abstract = {This article evaluates the effects on health of a basic income (BI) pilot project in Madhya Pradesh, India, between 2011 and 2012. BI can be defined as a non-contributory, universal and unconditional cash transfer paid out on an individual basis. The project was conducted as a cluster randomised trial involving 2034 households. Three health outcomes were examined: minor illnesses and injuries, illness and injuries requiring hospitalisation, and child vaccination coverage. The data were analysed with multiple imputation, propensity score matching and weighted logistic regression. BI was seen to significantly reduce the odds of minor illnesses and injuries by 46 per cent. No effect was seen on more serious illnesses and injuries, at least not in the time scale given, nor on child vaccination coverage which was already exceptionally high. Policymakers are encouraged to consider BI as an equitable policy of social protection, though further research on its impact on health is desirable.}, + langid = {english}, + keywords = {cite::channels,country::India,inequality::health,inequality::income,out::abstract,region::AP,type::ubi} } @article{Becker1973, @@ -1204,7 +1250,8 @@ issn = {0022-3808, 1537-534X}, doi = {10.1086/260166}, urldate = {2023-11-24}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Bederman1974, @@ -1219,7 +1266,8 @@ issn = {0004-5608, 1467-8306}, doi = {10.1111/j.1467-8306.1974.tb00986.x}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Bellin2011, @@ -1266,7 +1314,8 @@ pages = {635}, issn = {00346535}, doi = {10.2307/2109377}, - urldate = {2023-11-24} + urldate = {2023-11-24}, + keywords = {issue::age,out::year} } @article{Bezak2022, @@ -1282,7 +1331,8 @@ doi = {10.3390/ijerph19053109}, urldate = {2023-11-20}, abstract = {(1) Background: This paper aims to present and discuss the most significant challenges encountered by STEM professionals associated with remote working during the COVID-19 lockdowns. (2) Methods: We performed a qualitative analysis of 921 responses from professionals from 76 countries to the open-ended question: ``What has been most challenging during the lockdown for you, and/or your family?'' (3) Findings: Participants reported challenges within the immediate family to include responsibilities for school, childcare, and children's wellbeing; and the loss of social interactions with family and friends. Participants reported increased domestic duties, blurred lines between home and work, and long workdays. Finding adequate workspace was a problem, and adaptations were necessary, especially when adults shared the same setting for working and childcare. Connectivity issues and concentration difficulties emerged. While some participants reported employers' expectations did not change, others revealed concerns about efficiency. Mental health issues were expressed as anxiety and depression symptoms, exhaustion and burnout, and no outlets for stress. Fear of becoming infected with COVID-19 and uncertainties about the future also emerged. Pressure points related to gender, relationship status, and ethnicities were also evaluated. Public policies differed substantially across countries, raising concerns about the adherence to unnecessary restrictions, and similarly, restrictions being not tight enough. Beyond challenges, some benefits emerged, such as increased productivity and less time spent getting ready for work and commuting. Confinement resulted in more quality time and stronger relationships with family. (4) Interpretation: Viewpoints on positive and negative aspects of remote working differed by gender. Females were more affected professionally, socially, and personally than males. Mental stress and the feeling of inadequate work efficiency in women were caused by employers' expectations and lack of flexibility. Working from home turned out to be challenging, primarily due to a lack of preparedness, limited access to a dedicated home-office, and lack of previous experience in multi-layer/multi-scale environments.}, - langid = {english} + langid = {english}, + keywords = {method::qualitative,out::title} } @article{Bhalotra2018, @@ -1293,7 +1343,9 @@ issn = {1556-5068}, doi = {10.2139/ssrn.3213304}, urldate = {2023-11-24}, - langid = {english} + abstract = {We investigate women's fertility, labor and marriage market responses to large declines in child and maternal mortality that occurred following a major medical innovation in the US. In response to the decline in child mortality, women delayed childbearing and had fewer children overall. Fewer women had three or more children, and a larger share remained childless. We present a new theory of the extensive margin response, premised upon improvements in child survival reducing the time women need to achieve their target number of children. This prompts fertility delay and labor market entry which, coupled with wage or fecundity shocks, can result in childlessness. Consistent with these predictions, we find that reductions in child mortality increased women's labor force participation, improved their occupational status and reduced their chances of ever having married. Maternal mortality decline had opposing effects on all of these outcomes.}, + langid = {english}, + keywords = {cite::channels,inequality::gender,inequality::generational,out::abstract} } @article{Bhuiyan2021, @@ -1309,7 +1361,8 @@ issn = {1557-1874, 1557-1882}, doi = {10.1007/s11469-020-00307-y}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Bieszk-Stolorz2012, @@ -1338,7 +1391,8 @@ doi = {10.1111/1467-8268.00001}, urldate = {2023-11-20}, abstract = {Poverty is gradually spreading to the urban areas of Ethiopia, although it remains more extensive in the rural areas. This paper presents the first substantial analysis, since the 1960s, of the distribution of urban incomes and their determinants. It uses data for 1994 for an analysis of the economic well-being of urban households; it shows that income diversification is a typical characteristic of the poor, while those who are better off derive more than 75 per cent of their income from wage employment. Multiple activity remains less common in urban Ethiopia than in comparable countries, which is not surprising, since the two-decade socialist rule ruined the private sector. {\textemdash} La pauvret{\'e}, d{\'e}j{\`a} g{\'e}n{\'e}ralis{\'e}e dans les r{\'e}gions rurales de l'Ethiopie, se r{\'e}pand progressivement dans les zones urbaines de ce pays. Cet article pr{\'e}sente la premi{\`e}re analyse approfondie relative {\`a} la distribution des revenus dans les villes et aux d{\'e}terminants de ces revenus, depuis les ann{\'e}es 60. Les donn{\'e}es pour 1994 sont utilis{\'e}es pour analyser les conditions de vie des m{\'e}nages urbains; l'article montre que la diversification du revenu est une caract{\'e}ristique des pauvres tandis que les couches de la population mieux nanties tirent plus de 75 pour cent de leurs revenus d'un emploi salari{\'e}. Par rapport {\`a} d'autres pays analogues, la multiplicit{\'e} de l'activit{\'e} reste peu courante dans les zones urbaines d'Ethiopie, ce qui n'est gu{\`e}re surprenant {\'e}tant donn{\'e} que les deux d{\'e}cennies de r{\'e}gime socialiste ont ruin{\'e} le secteur priv{\'e}.}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Billava2016, @@ -1385,7 +1439,8 @@ pages = {301}, issn = {0022166X}, doi = {10.2307/145286}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{Bishu2017, @@ -1418,7 +1473,8 @@ doi = {10.1177/001440299606200502}, urldate = {2023-11-24}, abstract = {This article describes findings from the National Longitudinal Transition Study (NLTS) of Special Education Students regarding trends in the employment, wages, postsecondary education, and residential independence of youth with disabilities in their first 5 years after high school. Data from the NLTS indicated strong gains in all four outcome areas over time. In all areas, however, youth with disabilities continued to lag behind their peers in the general population. Several differences between youth in certain disability categories were found regarding employment, postsecondary education, and movement toward independence over time. Longitudinal outcomes also differed widely by gender, ethnicity, and high school completion status.}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Blau1998, @@ -1433,7 +1489,8 @@ issn = {0022-3808, 1537-534X}, doi = {10.1086/250004}, urldate = {2023-11-24}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Blau2000, @@ -1449,7 +1506,8 @@ doi = {10.1257/jep.14.4.75}, urldate = {2023-11-24}, abstract = {We consider the gender pay gap in the United States. Both gender-specific factors, including gender differences in qualifications and discrimination, and overall wage structure, the rewards for skills and employment in particular sectors, importantly influence the gender pay gap. Declining gender differentials in the U.S., and the more rapid closing of the gender pay gap in the U.S. than elsewhere, appear to be primarily due to gender-specific factors. However, the relatively large gender pay gap in the U.S. compared to a number of other advanced countries seems primarily attributable to the very high level of U.S. wage inequality.}, - langid = {english} + langid = {english}, + keywords = {cite::channels,inequality::gender,inequality::income,out::abstract} } @article{Bloom2009a, @@ -1480,7 +1538,8 @@ issn = {0194-4363, 1939-0130}, doi = {10.1080/01944363.2014.935267}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {inequality::income,inequality::spatial,relevant,TODO::full-text,type::experimental} } @article{Boman2014, @@ -1494,7 +1553,12 @@ pages = {193--204}, issn = {10519815}, doi = {10.3233/WOR-131718}, - urldate = {2023-11-24} + urldate = {2023-11-24}, + abstract = {BACKGROUND: More knowledge is needed ofoccupational attainment of persons with disabilities, i.e. the relationship between their educational level and their profession, and factors of importance for this relationship. OBJECTIVE: To compare occupational attainment among persons with and without a disability. METHOD: 3396 informants with disabilities and 19 004 non-disabled informants participated (control group) in a survey study by Statistics Sweden.The informants with disabilities were divided into six groups. RESULTS: Occupational attainment did not differ between the disability groups, neither between persons with and without a disability. Follow-up analysis showed that men with disabilities with primary or secondary school had an occupation above their educational level to a significantlylarger extent than women with disabilities. This pattern was even clearer in comparison with the control group. Persons without disabilities, with secondary or higher education, were more successful in the labor market than persons with disabilities. Occupational attainment increased with age in both groups. CONCLUSIONS: Young women with disabilities who only have primary or secondary education run a higher risk of having a job that is below their educational level than men at the same educational level. This indicates discriminating mechanisms in the society related to gender and ability.}, + keywords = {cite::channels,country::Sweden,inequality::disability,inequality::gender,out::abstract,region::EU}, + note = {looks at LM adjacent outcomes of inequality for disabled/ non-disabled people; +\par +does NOT look at specific policy intervention} } @article{Bongaarts1994, @@ -1511,7 +1575,8 @@ pages = {616}, issn = {00987921}, doi = {10.2307/2137604}, - urldate = {2023-11-24} + urldate = {2023-11-24}, + keywords = {issue::age,out::year} } @article{Bongaarts2016, @@ -1542,7 +1607,8 @@ issn = {0098-7921, 1728-4457}, doi = {10.1111/padr.12197}, urldate = {2023-11-24}, - langid = {english} + langid = {english}, + keywords = {out::full-text} } @techreport{Boshra2020, @@ -1555,7 +1621,8 @@ doi = {10.1101/2020.08.11.20171272}, urldate = {2023-11-20}, abstract = {Abstract In addition to physical health, the COVID-19 pandemic has affected the global economy and mental health significantly. The economic and social consequence has sparked many psychological mediators. In severe cases, they led to suicidal behavior in individuals like as seen in the 1918-1919 flu pandemic and in the 2003 severe acute respiratory syndrome (SARS) epidemic. Previously, a few articles have been published with regard to COVID-19 suicides in Bangladesh. However, all these articles talked about sporadic cases of suicides with no clear picture of the holistic overview of suicides in Bangladesh. Herein, we looked into all COVID-19 suicide cases from March 01, 2020, to July 31, 2020, as reported in Bangladeshi media. Our study also reports the risk factors contributing to suicidal incidents. Moreover, we also identified the impact of gender, profession, and COVID-19 diagnosis status on committing suicide. This study will shed light on the topic with a clear understanding of the causalities influencing individuals to suicide. Furthermore, it will help the policymakers to take necessary actions to prevent any further suicides.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Botuck1996, @@ -1571,7 +1638,8 @@ issn = {0342-5282}, doi = {10.1097/00004356-199609000-00007}, urldate = {2023-11-24}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Bramhankar2021, @@ -1587,7 +1655,8 @@ doi = {10.1186/s12905-021-01515-x}, urldate = {2023-11-20}, abstract = {Abstract Background Globally, one in three women experienced domestic~violence. Alike the scenario observed in India, and a~very few studies talk about violence and its consequences on women's health. Hence, the purpose of this study is to access the level of various types of spousal violence in India and to understand the association between physical, sexual and emotional violence against ever-married women by their husbands. The study further examines the consequences of spousal violence on women's health in terms of adverse pregnancy outcomes and reproductive health in India. Methods The study uses secondary data from National Family Health Survey-4 (NFHS-4, 2015{\textendash}16). The analysis was based on a sample of ever-married women aged 15{\textendash}49~years. Bivariate~descriptive analysis and multiple regression analyses have been carried out to understand the association between spousal violence and its consequences on women's health. Results The study finds that the physical, sexual and emotional violence experienced by ever-married women in India are 29.8\%, 13.8\% and 7.0\%, respectively. Further, the physical and sexual violence experienced by women have a significant association with an unwanted pregnancy, abortion, miscarriages and ever had termination of pregnancies. The regression analysis shows that violence by sexual partners among battered women increased the likelihood of unwanted pregnancy. Similarly, abortion and ever had a termination of pregnancies are also adversely affected by partner violence. Further, the risk of sexually transmitted infection increases 77\% by sexual violence and 44\% by emotional violence among battered women. Also, Sexual violence substantially increases the risk of prolonged labour during pregnancy. Conclusion This study revealed that one in three women experiencing violence by their husband and also it~is evident that various forms of spousal violence adversely affect pregnancies outcomes and reproductive health among battered women compared to not battered.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Braveman2014, @@ -1604,7 +1673,8 @@ doi = {10.1177/00333549141291S206}, urldate = {2023-11-20}, abstract = {During the past two decades, the public health community's attention has been drawn increasingly to the social determinants of health (SDH){\textemdash}the factors apart from medical care that can be influenced by social policies and shape health in powerful ways. We use ``medical care'' rather than ``health care'' to refer to clinical services, to avoid potential confusion between ``health'' and ``health care.'' The World Health Organization's Commission on the Social Determinants of Health has defined SDH as ``the conditions in which people are born, grow, live, work and age'' and ``the fundamental drivers of these conditions.'' The term ``social determinants'' often evokes factors such as health-related features of neighborhoods (e g., walkability, recreational areas, and accessibility of healthful foods), which can influence health-related behaviors. Evidence has accumulated, however, pointing to socioeconomic factors such as income, wealth, and education as the fundamental causes of a wide range of health outcomes This article broadly reviews some of the knowledge accumulated to date that highlights the importance of social{\textemdash}and particularly socioeconomic{\textemdash}factors in shaping health, and plausible pathways and biological mechanisms that may explain their effects. We also discuss challenges to advancing this knowledge and how they might be overcome.}, - langid = {english} + langid = {english}, + keywords = {cite::channels,inequality::health,out::abstract,review::narrative} } @article{Breslin2007, @@ -1635,7 +1705,9 @@ issn = {0037-7961, 1537-5404}, doi = {10.1086/516423}, urldate = {2023-11-20}, - langid = {english} + abstract = {Policy making has increasingly turned to controlled analysis, in the form of demonstration projects and experiments, to test social policies before they are legislated nationwide. Reviewing the history of three hallmark welfare experiments, we examine how controlled analysis became a ``shadow institution'' {\textemdash} an alternative to more visible and highly contested legislative channels for policy conflict. Applying a political-institutional lens, we explore what kind of channel this is and how it structures conflicts over poverty policy. We find that controlled analysis may be more apt to reiterate than to challenge conventional wisdom about poverty and the poor.}, + langid = {english}, + keywords = {inequality::poverty,out::abstract} } @article{Burtless1978, @@ -1651,7 +1723,8 @@ issn = {0022-3808, 1537-534X}, doi = {10.1086/260730}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Burtless1981, @@ -1668,7 +1741,8 @@ doi = {10.1017/S0143814X00001677}, urldate = {2023-11-20}, abstract = {ABSTRACT This paper examines the problem of inappropriate comparisons in evaluating social programs and the erroneous policy conclusions which can be derived from such comparisons. The paper examines two cases from the United States of America which fail to meet the criterion that comparison groups (if necessary after statistical adjustment) should be identical in all essential respects except in their exposure to the program. In the first of the two cases, involving the measurement of work-effort reduction in negative income tax (NIT) experiments, the inappropriate comparison was made in conducting a statistical analysis of program effects. In the second case, involving the analysis of changes in housing consumption in a housing allowance experiment, the statistical analysis of program effects appears valid, but the correctly measured program outcomes were themselves inappropriately used by policy-makers in drawing policy inferences. The conclusion draws out major lessons for policy analysis and policy-making.}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Butterfield2004, @@ -1700,7 +1774,8 @@ pages = {201}, issn = {00393665}, doi = {10.2307/172159}, - urldate = {2023-11-24} + urldate = {2023-11-24}, + keywords = {issue::age,out::year} } @article{Bwire2020, @@ -1716,7 +1791,8 @@ issn = {2523-8973}, doi = {10.1007/s42399-020-00341-w}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Caceres-Delpiano2006, @@ -1746,7 +1822,8 @@ issn = {0305750X}, doi = {10.1016/0305-750X(95)00086-R}, urldate = {2023-11-24}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Cai2010, @@ -1777,7 +1854,8 @@ pages = {201}, issn = {0022166X}, doi = {10.2307/144973}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{Cain1990, @@ -1792,7 +1870,8 @@ issn = {0002-9602, 1537-5390}, doi = {10.1086/229428}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Caldwell1978, @@ -1809,7 +1888,8 @@ pages = {553}, issn = {00987921}, doi = {10.2307/1971727}, - urldate = {2023-11-24} + urldate = {2023-11-24}, + keywords = {issue::age,out::year} } @article{Calnitsky2016, @@ -1842,7 +1922,11 @@ doi = {10.1177/1536504219830673}, urldate = {2023-11-20}, abstract = {This essay evaluates the state of the debate around basic income, a controversial and much-discussed policy proposal. I explore its contested meaning and consider its potential impact. I provide a summary of the randomized guaranteed income experiments from the 1970s, emphasizing how experimental methods using scattered sets of isolated participants cannot capture the crucial social factors that help to explain changes in people's patterns of work. In contrast, I examine a community experiment from the same period, where all residents of the town of Dauphin, Manitoba, were eligible for basic income payments. This ``macro-experiment'' sheds light on the community-level realities of basic income. I describe evidence showing that wages offered by Dauphin businesses increased. Additionally, labor market participation fell. By ignoring the social interactions that characterize real-world community contexts, randomized studies underestimate the decline in labor market participation and its impact on employers. These findings depend to a great extent on the details of the policy design, and as such I conclude that the oft-proposed right{\textendash}left ideological alliance on basic income is unlikely to survive the move from basic income as a broad policy umbrella to basic income as a concrete policy option.}, - langid = {english} + langid = {english}, + keywords = {out::abstract,type::ubi}, + note = {looks at LM adjacency and PI; +\par +does NOT look at inequalities affected} } @article{Cameron2001, @@ -1858,7 +1942,8 @@ issn = {0013-0079, 1539-2988}, doi = {10.1086/452511}, urldate = {2023-11-24}, - langid = {english} + langid = {english}, + keywords = {cite::channels,inequality::education,inequality::gender,out::abstract} } @article{Canelas2018, @@ -1921,7 +2006,9 @@ issn = {1749-6535, 1749-6543}, doi = {10.1080/17496535.2018.1512141}, urldate = {2023-11-20}, - langid = {english} + abstract = {This article contributes to the debate on automation and justice by discussing two under-represented concerns: labour justice and equality. Since automation involves both winners and losers, and given that there is no `end of work' on the horizon, it is argued that most normative views on the subject {\textendash} i.e. the `allocative' view of basic income, and the `desirability' views of post-work and workist ethics {\textendash} do not provide many resources with which to address unjustly unequal divisions of labour involved in technological innovation. This article problematises these common responses reframing the problem from the perspective of labour justice. While the allocative view assumes that labour justice follows `spontaneously' from income redistribution, the desirability views are chiefly interested in either defining or contesting the meanings of work for individuals, overlooking the interdependent nature of work and concerns of equality other than autonomy. Two conceptions of labour justice are thus applied to the problem: Paul Gomberg's contributive justice, and Iris Young's democratic division of labour. Instead of deciding between them, the normative core of `contributive parity' is suggested as a critical standard for assessing unequal labour structures, and for envisaging a future in which technology can be an ally in making social cooperation fair.}, + langid = {english}, + keywords = {inequality::income,out::abstract,type::automation} } @article{Cellini2008, @@ -1953,7 +2040,9 @@ issn = {0305750X}, doi = {10.1016/S0305-750X(99)00163-1}, urldate = {2023-11-24}, - langid = {english} + abstract = {Female labor force participation (LFP) has recently increased in the Metropolitan Area of Buenos Aires in a remarkable way. This increase has been a result neither of improvements in the conditions of labor supply nor due to the diversification of the structure of occupational opportunities available for women. Using cross-sectional and panel data I show that most of the growth in female LFP can be explained as a response to increasing unemployment and job instability associated with the implementation of structural adjustment policies since 1991. I argue that more women have decided to look for work as a way to reduce households' economic uncertainty.}, + langid = {english}, + keywords = {cite::channels,country::Argentina,inequality::gender,out::abstract,region::LAC} } @article{Chackalackal2021, @@ -1969,7 +2058,8 @@ issn = {2047-7724, 2047-7732}, doi = {10.1080/20477724.2021.1878446}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title,review::narrative} } @article{Chakravarty2018, @@ -1985,7 +2075,8 @@ doi = {10.1177/0971521518761430}, urldate = {2023-11-24}, abstract = {West Bengal (WB) ranks high among the 15 major states of India, where there is still a disturbing persistence of underage marriage among girls, leading to early motherhood as a consequence. The article explores the reasons for this in the context of social and economic conditions in the state. The article argues that more than poverty and illiteracy, the unavailability of new employment opportunities for women and girls in the rural and urban areas of the state explains why parents do not have the incentive to invest in more schooling or the higher education of their daughters. The article is mainly based on secondary data with occasional references to some primary evidence from a recent survey done by the author.}, - langid = {english} + langid = {english}, + keywords = {cite::channels,country::Bengal,inequality::age,inequality::gender,out::abstract,region::SSA} } @article{Chamhuri2012, @@ -2016,7 +2107,8 @@ issn = {1098-092X, 1936-4717}, doi = {10.1007/s12147-020-09269-w}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Chen2007, @@ -2107,7 +2199,8 @@ issn = {1350-4851, 1466-4291}, doi = {10.1080/758518991}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Chowdhury2021, @@ -2123,7 +2216,8 @@ doi = {10.1177/0971523121995365}, urldate = {2023-11-20}, abstract = {This study examines the impact of COVID-19 on the migrant workers and remittances flow to Bangladesh, the fastest growing South Asian country. Migrant workers have been playing an important role in propelling the economic activities of the country for a vast majority of the low-income population. Bangladesh is one of the major remittance recipient countries and earned US\$21.8 billion in 2020. Over half a million workers from Bangladesh are employed in foreign countries annually, which eases the pressure on the domestic labour market considerably. However, the inflow of these enormous remittances has been encountered by various challenges including the ongoing COVID-19 pandemic, which has brought numerous adverse socio-economic impacts on the migrant workers. Policy recommendations suggest designing and implementing well-coordinated public{\textendash}private migrant workers' inclusive policies and creating a supportive environment for the returnee migrant workers to overcome this crisis. Initiating dialogues and negotiation with the employing countries to protect the jobs and workers' rights can restore the employment and remittances during and after the pandemic, facilitate the expansion of the labour market across borders, and harness the valuable remittances for the overall welfare of the country.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Chua2016, @@ -2216,7 +2310,8 @@ doi = {10.1007/s13524-019-00793-3}, urldate = {2023-11-24}, abstract = {Abstract Despite evidence from other regions, researchers and policy-makers remain skeptical that women's disproportionate childcare responsibilities act as a significant barrier to women's economic empowerment in Africa. This randomized control trial study in an informal settlement in Nairobi, Kenya, demonstrates that limited access to affordable early childcare inhibits poor urban women's participation in paid work. Women who were offered vouchers for subsidized early childcare were, on average, 8.5 percentage points more likely to be employed than those who were not given vouchers. Most of these employment gains were realized by married mothers. Single mothers, in contrast, benefited by significantly reducing the time spent working without any loss to their earnings by shifting to jobs with more regular hours. The effects on other measures of women's economic empowerment were mixed. With the exception of children's health care, access to subsidized daycare did not increase women's participation in other important household decisions. In addition, contrary to concerns that reducing the costs of childcare may elevate women's desire for more children, we find no effect on women's fertility intentions. These findings demonstrate that the impact of subsidized childcare differs by marital status and across outcomes. Nonetheless, in poor urban Africa, as elsewhere, failure to address women's childcare needs undermines efforts to promote women's economic empowerment.}, - langid = {english} + langid = {english}, + keywords = {country::Kenya,inequality::gender,inequality::generational,region::SSA,relevant,TODO::full-text,type::maternity\_benefit} } @article{Clayton2016, @@ -2261,7 +2356,8 @@ issn = {1939-1854, 0021-9010}, doi = {10.1037/0021-9010.86.3.425}, urldate = {2023-11-24}, - langid = {english} + langid = {english}, + keywords = {out::title,review::meta} } @article{Connelly1992, @@ -2277,7 +2373,8 @@ pages = {83}, issn = {00346535}, doi = {10.2307/2109545}, - urldate = {2023-11-24} + urldate = {2023-11-24}, + keywords = {issue::age,out::year} } @article{Connelly2003, @@ -2308,7 +2405,8 @@ issn = {0143-005X}, doi = {10.1136/jech.53.11.725}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Cooke2006, @@ -2356,7 +2454,8 @@ issn = {1058-0476, 1573-3475}, doi = {10.1007/s10834-021-09770-8}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {country::Argentina,out::title,region::LAC} } @article{Cotter2002, @@ -2432,7 +2531,8 @@ unique-id = {WOS:000590384700001}, usage-count-last-180-days = {5}, usage-count-since-2013 = {33}, - web-of-science-categories = {Economics; Women's Studies} + web-of-science-categories = {Economics; Women's Studies}, + keywords = {out::title} } @article{Crooks2007, @@ -2463,7 +2563,8 @@ pages = {204--208}, issn = {09598138}, doi = {10.1136/bmj.322.7280.204}, - urldate = {2023-11-24} + urldate = {2023-11-24}, + keywords = {inequality::disability,out::title,review::systematic,TODO::review} } @article{Cruces2007, @@ -2511,7 +2612,8 @@ issn = {1098-092X, 1936-4717}, doi = {10.1007/s12147-022-09295-w}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {method::qualitative,out::title} } @article{Cutler1976, @@ -2525,7 +2627,8 @@ pages = {43}, issn = {00377732}, doi = {10.2307/2577092}, - urldate = {2023-11-24} + urldate = {2023-11-24}, + keywords = {issue::age,out::year} } @article{Czymara2021, @@ -2541,7 +2644,8 @@ issn = {1461-6696, 1469-8307}, doi = {10.1080/14616696.2020.1808692}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Dalal2021, @@ -2558,7 +2662,8 @@ doi = {10.1136/bmjgh-2021-007225}, urldate = {2023-11-20}, abstract = {Introduction Since sex-based biological and gender factors influence COVID-19 mortality, we wanted to investigate the difference in mortality rates between women and men in sub-Saharan Africa (SSA). Method We included 69 580 cases of COVID-19, stratified by sex (men: n=43 071; women: n=26 509) and age (0{\textendash}39 years: n=41 682; 40{\textendash}59 years: n=20 757; 60+ years: n=7141), from 20 member nations of the WHO African region until 1 September 2020. We computed the SSA-specific and country-specific case fatality rates (CFRs) and sex-specific CFR differences across various age groups, using a Bayesian approach. Results A total of 1656 deaths (2.4\% of total cases reported) were reported, with men accounting for 70.5\% of total deaths. In SSA, women had a lower CFR than men (mean C F R d i f f = -0.9\%; 95\% credible intervals (CIs) -1.1\% to -0.6\%). The mean CFR estimates increased with age, with the sex-specific CFR differences being significant among those aged 40 years or more (40{\textendash}59 age group: mean C F R d i f f = -0.7\%; 95\% CI -1.1\% to -0.2\%; 60+ years age group: mean C F R d i f f = -3.9\%; 95\% CI -5.3\% to -2.4\%). At the country level, 7 of the 20 SSA countries reported significantly lower CFRs among women than men overall. Moreover, corresponding to the age-specific datasets, significantly lower CFRs in women than men were observed in the 60+ years age group in seven countries and 40{\textendash}59 years age group in one country. Conclusions Sex and age are important predictors of COVID-19 mortality globally. Countries should prioritise the collection and use of sex-disaggregated data so as to design public health interventions and ensure that policies promote a gender-sensitive public health response.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Dang2021a, @@ -2587,7 +2692,8 @@ unique-id = {WOS:000620650300014}, usage-count-last-180-days = {7}, usage-count-since-2013 = {146}, - web-of-science-categories = {Development Studies; Economics} + web-of-science-categories = {Development Studies; Economics}, + keywords = {out::abstract} } @article{Das2021, @@ -2604,7 +2710,8 @@ doi = {10.1136/bmjopen-2020-045727}, urldate = {2023-11-20}, abstract = {Objectives Mental health problems significantly increased worldwide during the coronavirus (COVID-19) pandemic. At the early stage of the outbreak, the government of Bangladesh imposed lockdown and quarantine approaches to prevent the spread of the virus, which impacted people's daily life and health. The COVID-19 pandemic has also affected people's economic status, healthcare facilities and other lifestyle factors in Bangladesh. We aimed to assess the impact of the COVID-19 pandemic on mental health among the Bangladeshi population. Methods We conducted an online cross-sectional survey among 672 Bangladeshi people aged between 15 and 65 years all over the country from 15 April to 10 May 2020. After obtaining electronic consent, we conducted a survey assessing people's sociodemographic profiles and psychometric measures. We used The University of California, Los Angeles (UCLA) Loneliness Scale-8, Patient Health Questionnaire-9, Generalized Anxiety Disorder 7-Item Scale and Pittsburgh Sleep Quality Index to assess loneliness, depression, anxiety and sleep disturbance, respectively. Results The prevalence of loneliness, depression, anxiety and sleep disturbance was estimated at 71\% (mild: 32\%, moderate: 29\%, severe: 10\%), 38\% (mild: 24\%, moderate: 11\%, severe: 3\%), 64\% (mild: 30\%, moderate: 17\%, severe: 17\%) and 73\% (mild: 50\%, moderate: 18\%, severe: 5\%), respectively. In Bangladesh, the key factors associated with poor mental health during COVID-19 were female sex, unemployment, being a student, obesity and living without a family. The present study also identified statistically significant interrelationships among the measured mental health issues. Conclusions A large portion of respondents reported mental health problems during the COVID-19 pandemic in Bangladesh. The present study suggests longitudinal assessments of mental health among Bangladeshi people to determine the gravity of this issue during and after the pandemic. Appropriate supportive programmes and interventional approaches would address mental health problems in Bangladesh during the COVID-19 pandemic.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @book{Davala2015, @@ -2617,7 +2724,8 @@ doi = {10.5040/9781472593061}, urldate = {2023-11-20}, abstract = {Would it be possible to provide people with a basic income as a right? The idea has a long history. This book draws on two pilot schemes conducted in the Indian State of Madhya Pradesh, in which thousands of men, women and children were provided with an unconditional monthly cash payment. In a context in which the Indian government at national and state levels spends a vast amount on subsidies and selective schemes that are chronically expensive, inefficient, inequitable and subject to extensive corruption, there is scope for switching at least some of the spending to a modest basic income. This book explores what would be likely to happen if this were done. The book draws on a series of evaluation surveys conducted over the course of the eighteen months in which the main pilot was in operation, supplemented with detailed case studies of individuals and families. It looks at the impact on health and nutrition, on schooling, on economic activity, women's agency and the welfare of those with disabilities. Above all, the book considers whether or not a basic income could be transformative, in not only improving individual and family welfare but in promoting economic growth and development, as well as having an emancipatory effect for people long mired in conditions of poverty and economic insecurity.}, - isbn = {978-1-4725-9306-1 978-1-4725-8311-6} + isbn = {978-1-4725-9306-1 978-1-4725-8311-6}, + keywords = {country::India,inequality::education,inequality::gender,inequality::income,region::AP,relevant,TODO::full-text,type::ubi} } @article{Davies2009, @@ -2666,7 +2774,8 @@ doi = {10.3138/jcs.2017-0039.r1}, urldate = {2023-11-20}, abstract = {Looking back at more than 45 years of official multicultural policy in Canada, this article asks us to reflect on how the experiences of Black male youth in Toronto and the ways in which race, class, age, and gender intersect to alienate them from full access to educational and employment opportunities disrupt the construction of Canada as an ``ideal'' and ``exceptional'' multicultural democracy, built on unchallenged assumptions of inclusivity and impartiality. While Canadian multiculturalism promises respect for cultural differences, free education, and access to jobs for all citizens regardless of national origin or ethnicity, this promise is not borne out in the lives of poor black youth. The article centres the voices and perspectives of these youth by drawing on the documentary The Real Toronto, filmed during the ``Summer of the Gun'' in 2005, and on the findings from a three-year transnational study of the effects of violence on Black youth in Canada and Jamaica, collected eight years later in 2013. The article argues that Black urban male youth, by situating their precarious life experiences on the margins of a set of core Canadian values, destabilize our understanding of Canadian society by revealing the ways in which they are routinely criminalized and pathologized, and by demanding greater access to upward mobility.}, - langid = {english} + langid = {english}, + keywords = {cite::further\_reading,country::Canada,inequality::age,inequality::income,inequality::racial,method::qualitative,out::abstract,region::NA} } @article{Dayioglu2006, @@ -2712,7 +2821,9 @@ issn = {1570677X}, doi = {10.1016/j.ehb.2015.08.004}, urldate = {2023-11-24}, - langid = {english} + abstract = {This paper uses longitudinal data to analyze the relation between retirement and cognitive development in the Netherlands. Controlling for individual fixed effects and lagged cognition, we find that retirees face lower declines in their cognitive flexibility than those who remain employed, which appears to be persistent 6 years after retirement. However, the information processing speed of low-educated retirees declines faster. The magnitude of both changes in cognition is such that retirees appear 5{\textendash}6 years younger in terms of cognitive flexibility, and older in terms of information processing speed. We show that these relationships between retirement and cognitive development cannot be explained by (1) feeling relieved from routine work, (2) changes in mood, (3) changes in lifestyle, and (4) changes in blood pressure. The decline in information processing speed after retirement particularly holds for the low educated. This could increase the social costs of an aging society.}, + langid = {english}, + keywords = {inequality::age,inequality::health,out::title} } @article{DeJong2017, @@ -2768,7 +2879,8 @@ publisher = {{World Bank, Washington, DC}}, doi = {10.1596/33622}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @book{DePazNieves2021, @@ -2781,7 +2893,8 @@ publisher = {{The World Bank}}, doi = {10.1596/1813-9450-9709}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{DeRijk2009, @@ -2813,7 +2926,9 @@ issn = {2474-736X}, doi = {10.1080/2474736X.2020.1757387}, urldate = {2023-11-20}, - langid = {english} + abstract = {Technology entrepreneurs have endorsed a universal basic income (UBI) as a remedy against disruptions of the work force due to automation. The advancement of information technologies could thus drastically reshape welfare state policy, but its impact on citizens' preferences about UBI is unexplored. We extend previous research on citizens' preferences showing a link between job automation and demand for redistribution to the case of UBI preferences. Using European Social Survey data in 21 countries, we find no association between risk of job automation and UBI support. Our findings suggest that UBI and redistribution preferences differ in two important ways: First, opinion formation about UBI is still ongoing. Second, demand for UBI is lower than demand for redistribution, and traditional supporters of redistribution are sceptical about an UBI. This points to the multidimensionality of policy preferences. Its universalistic nature could imply that UBI support is more culturally driven than traditional welfare policies.}, + langid = {english}, + keywords = {out::abstract,type::ubi} } @article{Derndorfer2021, @@ -2831,7 +2946,8 @@ doi = {10.1371/journal.pone.0259580}, urldate = {2023-11-20}, abstract = {A lockdown implies a shift from the public to the private sphere, and from market to non-market production, thereby increasing the volume of unpaid work. Already before the pandemic, unpaid work was disproportionately borne by women. This paper studies the effect of working from home for pay (WFH), due to a lockdown, on the change in the division of housework and childcare within couple households. While previous studies on the effect of WFH on the reconciliation of work and family life and the division of labour within the household suffered from selection bias, we are able to identify this effect by drawing upon the shock of the first COVID-19 lockdown in Austria. The corresponding legal measures left little choice over WFH. In any case, WFH is exogenous, conditional on a small set of individual and household characteristics we control for. We employ data from a survey on the gendered aspects of the lockdown. The dataset includes detailed information on time use during the lockdown and on the quality and experience of WFH. Uniquely, this survey data also includes information on the division, and not only magnitude, of unpaid work within households. Austria is an interesting case in this respect as it is characterized by very conservative gender norms. The results reveal that the probability of men taking on a larger share of housework increases if men are WFH alone or together with their female partner. By contrast, the involvement of men in childcare increased only in the event that the female partner was not able to WFH. Overall, the burden of childcare, and particularly homeschooling, was disproportionately borne by women.}, - langid = {english} + langid = {english}, + keywords = {cite::channels,inequality::gender,inequality::income,out::abstract} } @article{Desai2011, @@ -2861,7 +2977,8 @@ publisher = {{The World Bank}}, doi = {10.1596/1813-9450-9736}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @techreport{DFI2023, @@ -2914,7 +3031,8 @@ doi = {10.1017/dem.2014.8}, urldate = {2023-11-24}, abstract = {Before Gary Becker, fertility choice was widely considered to be outside the realm of economic analysis. Apart from intellectual tradition, one reason for this was that the data on fertility did not immediately suggest an economic mechanism. In industrialized countries, fertility had declined strongly over time, even though family incomes were rising. Similarly, in many studies using cross-sectional data the relationship between family income and fertility had been shown to be either flat or declining. To many observers, these observations suggested that the ``taste'' for children had waned over time and that high income families placed less value on childbearing than the poor.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Doepke2019, @@ -2929,7 +3047,9 @@ issn = {1381-4338, 1573-7020}, doi = {10.1007/s10887-019-09172-4}, urldate = {2023-11-24}, - langid = {english} + abstract = {Empirical evidence suggests that money in the hands of mothers (as opposed to fathers) increases expenditures on children. Does this imply that targeting transfers to women promotes economic development? Not necessarily. We consider a noncooperative model of the household where a gender wage gap leads to endogenous household specialization. As a result, women indeed spend more on children and invest more in human capital. Yet, depending on the nature of the production function, targeting transfers to women may be beneficial or harmful to growth. Transfers to women are more likely to be beneficial when human capital, rather than physical capital or land, is the most important factor of production. We provide empirical evidence supportive of our mechanism: In Mexican PROGRESA data, transfers to women lead to an increase in spending on children, but a decline in the savings rate.}, + langid = {english}, + keywords = {cite::channels,country::Mexico,inequality::gender,inequality::generational,out::abstract,region::LAC} } @article{Donaldson2010, @@ -3006,7 +3126,9 @@ issn = {1040-2446}, doi = {10.1097/ACM.0000000000000369}, urldate = {2023-11-24}, - langid = {english} + abstract = {Globally, women experience a disproportionate burden of disease and death due to inequities in access to basic health care, nutrition, and education. In the face of this disparity, it is striking that leadership in the field of global health is highly skewed towards men and that global health organizations neglect the issue of gender equality in their own leadership. Randomized trials demonstrate that women in leadership positions in governmental organizations implement different policies than men and that these policies are more supportive of women and children. Other studies show that proactive interventions to increase the proportion of women in leadership positions within businesses or government can be successful. Therefore, the authors assert that increasing female leadership in global health is both feasible and a fundamental step towards addressing the problem of women's health. In this Perspective, the authors contrast the high proportion of young female trainees who are interested in academic global health early in their careers with the low numbers of women successfully rising to global health leadership roles. The authors subsequently explore reasons for female attrition from the field of global health and offer practical strategies for closing the gender gap in global health leadership. The authors propose solutions aimed to promote female leaders from both resource-wealthy and resource-poor countries, including leadership training grants, mentorship from female leaders in global professions, strengthening health education in resource-poor countries, research-enabling grants, and altering institutional policies to support women choosing a global health career path.}, + langid = {english}, + keywords = {cite::channels,inequality::gender,out::abstract} } @article{Drakakis-Smith1991, @@ -3022,7 +3144,8 @@ pages = {51}, issn = {00167398}, doi = {10.2307/635144}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{Drakakis-Smith1994, @@ -3037,7 +3160,8 @@ issn = {0435-3684, 1468-0467}, doi = {10.1080/04353684.1994.11879659}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Drozdzak2016, @@ -3163,7 +3287,8 @@ pages = {53--68}, issn = {2327-5952, 2327-5960}, doi = {10.4236/jss.2020.89004}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {out::title} } @article{Dyck2000, @@ -3180,7 +3305,8 @@ doi = {10.1177/000841740006700506}, urldate = {2023-11-24}, abstract = {This paper examines employment issues for women diagnosed with multiple sclerosis (MS) and their workplace experiences, focusing analysis on the social and institutional dimensions of the environment. The analysis draws on data from a mixed method study using in-depth interviews and a survey. The findings indicate that although severity of symptoms affect employment status, non-medical factors, including modification of work conditions and understanding employers, and a supportive home environment with the possibility of delegating household tasks, can enhance women's ability to work. The specific focus in the paper on the experiences of women managing their disability in the workplace, from the qualitative phase of the study, acts as an analytic device to illustrate how context influences the way in which such factors play out. In highlighting the issue of disclosure of diagnosis, and associated identity and income concerns for women, the paper demonstrates the importance of the social and institutional dimensions of environment in shaping occupational performance. The findings suggest that inclusion of environmental analysis in clinical practice broadens the range of intervention strategies to be considered and raises the issue of occupational therapists' role in advocacy.}, - langid = {english} + langid = {english}, + keywords = {cite::channels,inequality::disability,inequality::gender,out::abstract} } @article{Dyer2020, @@ -3194,7 +3320,8 @@ issn = {1756-1833}, doi = {10.1136/bmj.m1439}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Ebenezer2018, @@ -3208,7 +3335,9 @@ issn = {1548-2278}, doi = {10.1353/jda.2018.0014}, urldate = {2023-11-20}, - langid = {english} + abstract = {The recently adopted 2030 SDGs shows the commitment of government of countries to reducing all forms of poverty among its citizens. Livelihoods and livelihood diversification have been identified as a tool in fighting poverty. However, relevance of livelihood diversification is an environment with robust social security programme like South Africa is unknown. The study utilized information obtained from the annual General Household Survey of South Africa carried out in 2014. Information which include demographic characteristics of households and individuals, education, health, access to public assets, ownership of private assets, household welfare, and household livelihoods among others were obtained using a structured questionnaire. A total number of 3033 households sampled from the province using a multi-stage design with probability proportionate to size was used in the study. Data were analysed using a modified Multidimensional Poverty Index which is the most recent approach to poverty assessment, descriptive statistics and Tobit regression model. The result of descriptive statistics shows that households in the province are not diversified (diversification is proxy by having other income sources), only 5.41 percent of the households have more than one sources of income. About 53 percent of diversified households are located in the urban area of the province. The descriptive statistics result also show that majority of households who are considered poor or severely poor have heads with low educational attainment and they are located in the rural area of the province. The result of Tobit regression shows that livelihood diversification is not significant in influencing household poverty in the Province. Other socioeconomic characteristics significant in influencing poverty are characteristics of head which include gender, education and employment status, access to electricity, engagement in agriculture, total income, asset score and geographical location. This study suggest among others things the need for the provincial government to initiate policies that will stimulate household economic investment, like further linking of government transfers to household investment grant. Also, there is a need for the provincial government to strengthen policies that promote affordable and accessible education, access to electricity for the poor, asset accumulation, engagement in home stead agriculture, and intensification of poverty reduction programmes in the rural areas.}, + langid = {english}, + keywords = {country::South\_Africa,out::abstract,region::SSA} } @article{Ebert2021, @@ -3222,7 +3351,8 @@ pages = {429--438}, issn = {0042-9686}, doi = {10.2471/BLT.20.270983}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {out::title} } @article{Eckstein2019, @@ -3237,7 +3367,9 @@ issn = {0012-9682}, doi = {10.3982/ECTA14474}, urldate = {2023-11-24}, - langid = {english} + abstract = {Comparing the 1935 and 1975 U.S. birth cohorts, wages of married women grew twice as fast as for married men, and the wage gap between married and single women turned from negative to positive. The employment rate of married women also increased sharply, while that of other groups remained quite stable. To better understand these diverse patterns, we develop a life-cycle model incorporating individual and household decisions about education, employment, marriage/divorce, and fertility. The model provides an excellent fit to wage and employment patterns, along with changes in education, marriage/divorce rates, and fertility. We assume fixed preferences, but allow for four exogenously changing factors: (i) mother's education, health, and taxes/transfers; (ii) marriage market opportunities and divorce costs; (iii) the wage structure and job offers; (iv) contraception technology. We quantify how each factor contributed to changes across cohorts. We find that factor (iii) was the most important force driving the increase in relative wages of married women, but that all four factors are important for explaining the many socio-economic changes that occurred in the past 50 years. Finally, we use the model to simulate a shift from joint to individual taxation. In a revenue-neutral simulation, we predict this would increase employment of married women by 9\% and the marriage rate by 8.1\%.}, + langid = {english}, + keywords = {country::US,inequality::gender,inequality::income,region::NA,relevant,TODO::full-text} } @article{Economou2014, @@ -3252,7 +3384,9 @@ issn = {00396060}, doi = {10.1016/j.surg.2014.07.005}, urldate = {2023-11-24}, - langid = {english} + abstract = {Women have been achieving near parity in MD and MD/PhD training, but their advancement in academic biomedical science is reduced at every career milestone thereafter. Women are significantly underrepresented even at the earliest points in the PhD pipeline, particularly in fields outside of biology. This is a troubling statistic that negatively impacts the talent pool and exacerbates career inequity in all areas of biomedical research. The major biomedical research themes that will command our attention in the 21st century{\textemdash}neuroscience, cardiovascular disease, oncology{\textemdash}will require large team science efforts integrating a diversity of scientific disciplines, including biology, engineering, sociology, chemistry, and medicine. These scientific teams must also integrate diversity in gender, race, and ethnicity to enrich and add value to their discoveries and to better serve a diverse and multicultural society. This editorial reviews factors that may actively impede women's participation in biomedical research, at the level of graduate and postgraduate training, in their opportunities for career advancement in the professoriate, and in their competitiveness in securing research support.}, + langid = {english}, + keywords = {out::abstract,review::narrative} } @article{Edin2003, @@ -3282,7 +3416,8 @@ issn = {0094-0607}, doi = {10.1177/089976408401300103}, urldate = {2023-11-24}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Ehsan2022, @@ -3298,7 +3433,8 @@ issn = {2198-1833, 1613-2238}, doi = {10.1007/s10389-021-01501-5}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {method::qualitative,out::title} } @article{Ekberg2013, @@ -3327,7 +3463,8 @@ issn = {0305750X}, doi = {10.1016/j.worlddev.2018.01.028}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{El-Nimr2021, @@ -3343,7 +3480,8 @@ doi = {10.1186/s42506-021-00077-y}, urldate = {2023-11-20}, abstract = {Abstract Introduction Intimate partner violence (IPV) remains a serious human rights violation and an important health concern during the ongoing COVID-19 pandemic. The study aims to estimate the proportion of IPV among adult Arab women before and during the COVID-19 lockdown and to identify its possible predictors during the lockdown. Methods A cross-sectional study was conducted between April and June 2020 using an online questionnaire. The sample included 490 adult Arab women aged 18 years and above, who live with their husbands. Data was collected using a Google forms designed questionnaire that included the socio-demographic characteristics, nature of lockdown, and exposure to different types of IPV before and during COVID-19 lockdown and the frequency of their occurrence. McNemar's test was used to determine differences in the exposure to IPV before and during the lockdown, while logistic regression analysis was performed to identify the predictors of exposure to IPV during the lockdown. Results Half of women reported that they were ever exposed to IPV with psychological violence ranking 1st. Exposure to any type of IPV and exposure to psychological, physical, and sexual violence have significantly increased during the lockdown compared to before the lockdown. The frequency of exposure to the different types of IPV ranged from 1{\textendash}3 times per month to almost every day, but the most commonly reported was 1{\textendash}3 times per month. Predictors of exposure to IPV during the COVID-19 lockdown included country of residence, family income, and whether the husband lost his job during lockdown. Conclusions IPV has increased during the COVID-19 pandemic lockdown in the Arab countries, and it was associated with the socioeconomic consequences of the pandemic on families. Actions towards raising awareness about the problem among professionals and the community, early detection, and provision of appropriate services are mandatory.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Elbay2020, @@ -3357,7 +3495,8 @@ issn = {01651781}, doi = {10.1016/j.psychres.2020.113130}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Elborgh-Woytek2013, @@ -3389,7 +3528,8 @@ pages = {771}, issn = {00222445}, doi = {10.2307/353931}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{Elesh1977, @@ -3405,7 +3545,8 @@ pages = {391}, issn = {00221465}, doi = {10.2307/2955347}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{Ellis1998, @@ -3420,7 +3561,8 @@ issn = {0022-0388, 1743-9140}, doi = {10.1080/00220389808422553}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Endendijk2018, @@ -3436,7 +3578,8 @@ doi = {10.1111/jomf.12451}, urldate = {2023-11-24}, abstract = {This study examined whether parenthood changes gender-role behavior and implicit gender-role stereotypes as assessed with an Implicit Association Test in Dutch parents. In a cross-sectional sample, parents were found to have more traditional gender-role stereotypes than nonparents with a wish to have a child and nonparents without the wish to have a child. This suggests that gender-role stereotypes increase after the transition into parenthood. In a longitudinal sample, parents were followed for 4\,years after the first birthday of their youngest child. The authors found that implicit gender-role stereotypes and behavior became increasingly traditional over time in most parents, except for the following two groups: (a) Fathers with highly traditional gender-role stereotypes did not show change over time and (b) older, highly educated mothers who worked relatively many hours outside the home and who had an egalitarian task division at home, remained egalitarian in their gender-role stereotypes over time.}, - langid = {english} + langid = {english}, + keywords = {inequality::gender,inequality::generational,out::abstract} } @article{Eng2012, @@ -3469,7 +3612,8 @@ pages = {954}, issn = {00093920}, doi = {10.2307/1131145}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{Englund2002, @@ -3557,7 +3701,8 @@ issn = {0038-0253, 1533-8525}, doi = {10.1111/j.1533-8525.1988.tb01437.x}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Fatima2009, @@ -3607,7 +3752,8 @@ doi = {10.1186/s12905-021-01177-9}, urldate = {2023-11-20}, abstract = {Abstract Background Emergency situations, including epidemics, increase incidence of violence against women, especially intimate partner violence (IPV). This paper describes specific scenarios of IPV reported by women during the COVID-19 pandemic in Nigeria to provide insight for policy and programmatic efforts. Methods This paper draws on seven de-identified case reports from organisations serving women experiencing IPV as well as media coverage of IPV cases in Nigeria, between April and May, 2020. Results In most cases, reports identified IPV that was occurring prior to the lockdown, but increased in severity or involved new types of violence during the lockdown. The case scenarios included descriptions of many forms of IPV commonly reported, including physical, economic, psychological and sexual violence, often concurrently. Several women also reported threats of being thrown out of their homes by perpetrators, which threatens women's ability to protect themselves from exposure to COVID-19, but could also leave women stranded with no access to transportation, social services, or other resources during the lockdown. Several women also reported IPV that involved custody of children, as well as IPV that disrupted women's income generation. IPV was also reported in relation to economic stressors associated with the lockdown. Reports highlight how the lockdown disrupted women's social support, hindering accessibility of formal and informal sources of help. Conclusion The lockdowns in Nigeria may have inadvertently placed women already experiencing partner violence at risk for experiencing more severe violence, new challenges to cope with violent experiences, and other forms of violence, including violence that used the lockdown as a way to threaten women's security and ability to protect themselves from the virus. Hence, there is need for innovative approaches to support victims, with emphasis on ways in which perpetrators of IPV may be using the threat of COVID-19 to further gain power and control over partners.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Feng2022a, @@ -3624,7 +3770,8 @@ doi = {10.1186/s12992-022-00804-w}, urldate = {2023-11-20}, abstract = {Abstract Background During the course of the COVID-19 pandemic, states were called upon by the World Health Organization to introduce and prioritise the collection of sex-disaggregated data. The collection of sex-disaggregated data on COVID-19 testing, infection rates, hospital admissions, and deaths, when available, has informed our understanding of the biology of the infectious disease. The collection of sex-disaggregated data should also better inform our understanding of the gendered impacts that contribute to risk of exposure to COVID-19. In China, the country with the longest history of fighting the COVID-19 infection, what research was available on the gender-differential impacts of COVID-19 in the first 6 months of the COVID-19 pandemic? Methods In this scoping review, we examine the first 6 months (January{\textendash}June 2020) of peer-reviewed publications ( n ~=\,451) on sex and gender experiences related to COVID-19 in China. We conducted an exhaustive search of published Chinese and English language research papers on COVID-19 in mainland China. We used a COVID-19 Gender Matrix informed by the JPHIEGO gender analysis toolkit to examine and illuminate research into the gendered impacts of COVID-19 within China. Results In China, only a small portion of the COVID-19-related research focused on gender experiences and differences. Near the end of the six-month literature review period, a small number of research items emerged on women healthcare workers, women's mental health, and pregnant women's access to care. There was an absence of research on the gendered impact of COVID-19 amongst populations. There was minimal consideration of the economic, social and security factors, including gender stereotypes and expectations, that affected different populations' experiences of infection, treatment, and lockdown during the period of review. Conclusion At the outset of health emergencies in China, gender research needs to be prioritised during the first stage of an outbreak to assist with evaluation of the most effective public health measures, identifying access to healthcare and social welfare barriers amongst priority communities. Gender stereotypes and gendered differences lead to different patterns of exposure and treatment. The exclusion of this knowledge in real time affects the design of effective prevention and recovery.}, - langid = {english} + langid = {english}, + keywords = {country::China,out::abstract,region::AP} } @techreport{Field2019, @@ -3639,7 +3786,9 @@ institution = {{National Bureau of Economic Research}}, doi = {10.3386/w26294}, urldate = {2023-11-24}, - langid = {english} + abstract = {Can greater control over earned income incentivize women to work and influence gender norms? In collaboration with Indian government partners, we provided rural women with individual bank accounts and randomly varied whether their wages from a public workfare program were directly deposited into these accounts or into the male household head's account (the status quo). Women in a random subset of villages were also trained on account use. In the short run, relative to women just offered bank accounts, those who also received direct deposit and training increased their labor supply in the public and private sectors. In the long run, gender norms liberalized: women who received direct deposit and training became more accepting of female work, and their husbands perceived fewer social costs to having a wife who works. These effects were concentrated in households with otherwise lower levels of, and stronger norms against, female work. Women in these households also worked more in the long run and became more empowered. These patterns are consistent with models of household decision-making in which increases in bargaining power from greater control over income interact with, and influence, gender norms.}, + langid = {english}, + keywords = {country::India,inequality::gender,inequality::income,region::AP,relevant,TODO::full-text,type::structural} } @article{Filby2016, @@ -3682,7 +3831,9 @@ issn = {0950-0170, 1469-8722}, doi = {10.1177/0950017018774245}, urldate = {2023-11-24}, - langid = {english} + abstract = {This research note considers how we measure women's work in the sub-Saharan African (SSA) context. Drawing on qualitative work conducted in Burundi, the note examines how existing measures of women's work do not accurately capture the intensity and type of work women in SSA undertake. Transcripts from qualitative interviews suggest that women think of work to meet their roles and responsibilities within the household. The women in the interviews do not frame work as a career or a primary activity in a time-use allocation. As a result, researchers need to nest questions regarding women's work within surveys that ask about roles and responsibilities within the household, and about how women meet these responsibilities with a financial component.}, + langid = {english}, + keywords = {country::Burundi,inequality::gender,method::qualitative,out::abstract,region::SSA} } @article{Finlay2018a, @@ -3698,7 +3849,8 @@ doi = {10.1111/1468-0009.12326}, urldate = {2023-11-24}, abstract = {Policy Points: Improvements in reproductive health lead to improvements in women's economic empowerment. Contraceptive use improves women's agency, education, and labor force participation; higher maternal age at first birth (reducing adolescent childbearing) increases the likelihood of school completion and participation in the formal labor market; and having fewer children increases labor market participation. Reproductive health is not just a benefit to a woman's individual rights, but her gateway for breaking free from her poverty trap and improving the welfare of herself, her children, and her household. Context Women's access to employment, business opportunities, and financial resources is critical to achieving the United Nations Sustainable Development Goals over the next 15 years. With increased attention to women's economic empowerment among donors and policymakers across the globe, this moment is a pivotal one in which to review the current state of the research on this topic. Methods We reviewed the Population and Poverty (PopPov) Research Initiative results from the past 10 years with attention to the causal link between reproductive health improvements and women's economic empowerment, in addition to seminal research that informed our understanding of the link. Findings Our review of PopPov findings revealed that improvements in reproductive health do lead to improvements in women's economic empowerment; expanding contraceptive use improves women's agency, education, and labor force participation; higher maternal age at first birth (reducing adolescent childbearing) increases the likelihood of school completion and participation in the formal labor market; and having fewer children increases labor force participation. Conclusions Gaps remain in measuring women's work and in the full exploration of women's economic empowerment. More research is needed regarding the long-term impact of reproductive health improvements on women's economic empowerment, as some studies have shown that at times unintended negative consequences occur after early positive improvements.}, - langid = {english} + langid = {english}, + keywords = {inequality::gender,inequality::health,TODO::full-text} } @article{Fitchen1995, @@ -3714,7 +3866,8 @@ doi = {10.1111/j.1549-0831.1995.tb00568.x}, urldate = {2023-11-20}, abstract = {Recent demographic studies document movement of poor people from both urban and rural places to depressed rural communities. Such migration redistributes poverty to rural areas and further concentrates it within them. This article presents a case study of one depressed community in New York that became a migration destination for urban poor people, causing dramatic increases in poverty rate, welfare rolls, and service needs. On-site research showed that the community's attraction was inexpensive rental housing that had become available after loss of manufacturing jobs prompted a middle-class exodus. The lack of jobs was not a deterrent for low-income inmigrants, though, because many of them had limited job skills and other employment barriers and would have had difficulty getting or holding a job anyway. Similar processes of economic decline, population loss, and poverty inmigration appear to be occurring elsewhere also. The article identifies community-level impacts and policy implications; it concludes with suggestions for further research needs.}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Fitzpatrick2015, @@ -3729,7 +3882,9 @@ issn = {07493797}, doi = {10.1016/j.amepre.2015.02.018}, urldate = {2023-11-20}, - langid = {english} + abstract = {Introduction Healthcare spending occurs disproportionately among a very small portion of the population. Research on these high-cost users (HCUs) of health care has been overwhelmingly cross-sectional in nature and limited to the few sociodemographic and clinical characteristics available in health administrative databases. This study is the first to bridge this knowledge gap by applying a population health lens to HCUs. We investigate associations between a broad range of SES characteristics and future HCUs. Methods A cohort of adults from two cycles of large, nationally representative health surveys conducted in 2003 and 2005 was linked to population-based health administrative databases from a universal healthcare plan for Ontario, Canada. Comprehensive person-centered estimates of annual healthcare spending were calculated for the subsequent 5 years following interview. Baseline HCUs (top 5\%) were excluded and healthcare spending for non-HCUs was analyzed. Adjusted for predisposition and need factors, the odds of future HCU status (over 5 years) were estimated according to various individual, household, and neighborhood SES factors. Analyses were conducted in 2014. Results Low income (personal and household); less than post-secondary education; and living in high-dependency neighborhoods greatly increased the odds of future HCUs. After adjustment, future HCU status was most strongly associated with food insecurity, personal income, and non-homeownership. Living in highly deprived or low ethnic concentration neighborhoods also increased the odds of becoming an HCU. Conclusions Findings suggest that addressing social determinants of health, such as food and housing security, may be important components of interventions aiming to improve health outcomes and reduce costs.}, + langid = {english}, + keywords = {cite::channels,inequality::health,inequality::socio-demographic,out::abstract} } @article{Fitzpatrick2020, @@ -3744,7 +3899,8 @@ issn = {1942-969X, 1942-9681}, doi = {10.1037/tra0000924}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Fletcher2011, @@ -3777,7 +3933,8 @@ issn = {01406736}, doi = {10.1016/S0140-6736(22)00008-3}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::review,review::systematic} } @article{Flynn2001, @@ -3793,7 +3950,8 @@ doi = {10.3366/afr.2001.71.4.666}, urldate = {2023-11-20}, abstract = {Abstract Many people living in Mwanza, Tanzania, provision themselves through urban agriculture{\textemdash}the planting of crops and raising of animals in urban and peri-urban areas, as well as in the countryside. This article compares Mwanza's urban farmers with those in Kenya, Zambia, Zimbabwe and Ghana. Like Zimbabwe's urban agriculturalists, more and more of Mwanza's are not among the poorest of the poor. Much like Ghana's urban farmers, those in Mwanza are often middle and upper-class males with access to scarce land and inputs. Urban cultivators in Mwanza differ from those in Kenya and Zambia with regard to gender, socio-economic class and the factors motivating their farming activities. These findings suggest that even though socio-economic differentiation is on the increase in Tanzania it has not reached the levels of divergence found in Kenya and Zambia. Many of Mwanza's wealthier males continue to face enough job/income insecurity to choose to plant crops to support themselves and their household in lean times. They may also engage in urban agriculture because they are unable or unwilling to take advantage of more profitable investment opportunities outside the food market, or because they desire to spread risk across a number of different investments. , R{\'e}sum{\'e} Une grande partie de la population de Mwanza, en Tanzanie, s'approvisionne par le biais de l'agriculture urbaine{\textemdash}la plantation de cultures et l'{\'e}levage d'animaux dans les zones urbaines et p{\'e}ri-urbaines, ainsi qu'en zone rurale. Cet article compare les agriculteurs urbains de Mwanza {\`a} ceux du Kenya, de la Zambie, du Zimbabwe et du Ghana. Comme leurs homologues du Zimbabwe, les agriculteurs urbains de Mwanza sont de plus en plus nombreux {\`a} figurer parmi les plus pauvres des pauvres. Comme les agriculteurs urbains du Ghana, ceux de Mwanza sont souvent des hommes de classe moyenne ou sup{\'e}rieure qui ont acc{\`e}s {\`a} des terres et des ressources limit{\'e}es. Les cultivateurs urbains de Mwanza se distinguent de ceux du Kenya et de la Zambie au niveau du sexe, de la cat{\'e}gorie socio-{\'e}conomique et des facteurs qui motivent leurs activit{\'e}s agricoles. Ces r{\'e}sultats sugg{\`e}rent que la diff{\'e}renciation socio-{\'e}conomique, bien qu'en augmentation, n'a pas atteint les niveaux de divergence observ{\'e}s au Kenya et en Zambie. Une grande partie de la population masculine ais{\'e}e continue de faire face {\`a} une pr{\'e}carit{\'e} de l'emploi suffisamment importante pour qu'ils choisissent de cultiver pour subvenir {\`a} leurs besoins et ceux de leur famille pendant les p{\'e}riodes difficiles. Ils se lancent aussi parfois dans l'agriculture parce qu'ils ne peuvent pas ou ne souhaitent pas profiter de possibilit{\'e}s de placements plus rentables en dehors du march{\'e} des denr{\'e}es alimentaires, ou parce qu'ils souhaitent r{\'e}partir les risques en diversifiant leurs placements.}, - langid = {english} + langid = {english}, + keywords = {country::Tanzania,out::abstract,region::SSA} } @article{Forget2010, @@ -3886,7 +4044,9 @@ issn = {1053-0487, 1573-3688}, doi = {10.1007/s10926-013-9488-z}, urldate = {2023-11-24}, - langid = {english} + abstract = {Purpose To characterise and determine the pre-injury, injury and post-injury factors associated with vocational outcome 1{\textendash}9 years post-discharge from a mixed therapy/educational/vocational rehabilitation (VR) residential programme. Methods 119 clients of working age when they acquired their brain injury and who had attended the centre between 2002 and 2011 were followed up at least 1 year post-discharge to determine their vocational outcome as part of an ongoing review/audit of the service. All clients had had a severe/very severe brain injury. Clients were classified as having a positive vocational outcome (working{\textemdash}paid/voluntary, full/part-time or undertaking full or part-time vocationally related education) or negative vocational outcome (undertaking neither work nor education). Results Over half of the clients attained a positive vocational outcome. Length of time since discharge did not differ between those clients with a positive or negative vocational outcome. Vocational outcome was predicted by cognitive and motor ability at discharge, and gender. Together these variables correctly classified the vocational outcome of 76 \% of the clients. Conclusion Clients with severe/very severe brain injury can attain a positive vocational outcome following intensive neurorehabilitation consisting of traditional therapies in addition to educational and VR.}, + langid = {english}, + keywords = {inequality::disability,out::abstract} } @article{Francavilla2011, @@ -3949,7 +4109,8 @@ doi = {10.1111/gwao.12690}, urldate = {2023-11-20}, abstract = {Abstract The COVID-19 pandemic has forced many people, including those in the fields of science and engineering, to work from home. The new working environment caused by the pandemic is assumed to have a different impact on the amount of work that women and men can do from home. Particularly, if the major burden of child and other types of care is still predominantly on the shoulders of women. As such, a survey was conducted to assess the main issues that biomedical engineers, medical physicists (academics and professionals), and other similar professionals have been facing when working from home during the pandemic. A survey was created and disseminated worldwide. It originated from a committee of International Union for Physical and Engineering Sciences in Medicine (IUPESM; Women in Medical Physics and Biomedical Engineering Task Group) and supported by the Union. The ethics clearance was received from Carleton University. The survey was deployed on the Survey Monkey platform and the results were analyzed using IBM SPSS software. The analyses mainly consisted of frequency of the demographic parameters and the cross-tabulation of gender with all relevant variables describing the impact of work at home. A total of 921 responses from biomedical professions in 76 countries were received: 339 males, 573 females, and nine prefer-not-to-say/other. Regarding marital/partnership status, 85\% of males were married or in partnership, and 15\% were single, whereas 72\% of females were married or in partnership, and 26\% were single. More women were working from home during the pandemic (68\%) versus 50\% of men. More men had access to an office at home (68\%) versus 64\% for women. The proportion of men spending more than 3 h on child care and schooling per day was 12\%, while for women it was 22\%; for household duties, 8\% of men spent more than 3 h; for women, this was 12.5\%. It is interesting to note that 44\% of men spent between 1 and 3 h per day on household duties, while for women, it was 55\%. The high number of survey responses can be considered excellent. It is interesting to note that men participate in childcare and household duties in a relatively high percentage; although this corresponds to less hours daily than for women. It is far more than can be found 2 and 3~decades ago. This may reflect the situation in the developed countries only{\textemdash}as majority of responses (75\%) was received from these countries. It is evident that the burden of childcare and household duties will have a negative impact on the careers of women if the burden is not more similar for both sexes. It is important to recognize that a change in policies of organizations that hire them may be required to provide accommodation and compensation to minimize the negative impact on the professional status and career of men and women who work in STEM fields.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Gall2006, @@ -4012,7 +4173,8 @@ issn = {0002-8282}, doi = {10.1257/aer.89.2.150}, urldate = {2023-11-24}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Gama2020, @@ -4027,7 +4189,8 @@ doi = {10.1159/000514341}, urldate = {2023-11-20}, abstract = {The measures implemented to combat the COVID-19 pandemic led populations to confinement at home, with increased risk of domestic violence due to extended shared time between victims and offenders. Evidence on domestic violence in times of pandemic is lacking. This study examines the occurrence of domestic violence, associated factors and help seeking during the COVID-19 pandemic. An online survey was conducted in Portugal between April and October 2020 by NOVA National School of Public Health. The survey was disseminated through partner networks, media, and institutions working within the scope of violence. Data were collected on the experience of domestic violence, and help seeking during the pandemic. In a total of 1,062 respondents, 146 (13.7\%) reported having suffered domestic violence during the pandemic, including psychological (13.0\%, n = 138), sexual (1.0\%, n = 11), and physical (0.9\%, n = 10) abuse. Overall, the lower the age, the more the reported domestic violence. Also, a higher proportion of participants who perceived difficulties to make ends meet during the pandemic reported domestic violence. Differences between women and men and across educational levels on reported domestic violence were not statistically significant. Bivariate logistic analyses showed that, among women, reported domestic violence was more likely among those with up to secondary education compared to higher education. Most of the victims did not seek help (62.3\%), the main reasons being considering it unnecessary, that help would not change anything, and feeling embarrassed about what had happened. Only 4.3\% of the victims sought police help. The most common reasons for not coming forward to form a complaint were considering the abuse was not severe and believing the police would not do anything. Our findings indicate that domestic violence during the COVID-19 pandemic was experienced by both sexes and across different age groups. There is a need for investing in specific support systems for victims of domestic violence to be applied to pandemic contexts, especially targeting those in more vulnerable situations and potentially underserved.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Gammage2020, @@ -4042,7 +4205,9 @@ issn = {1354-5701, 1466-4372}, doi = {10.1080/13545701.2019.1674451}, urldate = {2023-11-24}, - langid = {english} + abstract = {This article examines the connections between women's reproductive health, care responsibilities, and the quality of work. The research suggests that the economic empowerment of women, manifest in their choice of where and when to work, and of the terms and conditions of that work, is intimately linked to reproductive empowerment and reproductive outcomes. Simplistic discourse in development policy about educating girls and getting women into the labor force will not translate into goals being met unless attention is paid to women's reproductive health and rights. This analysis highlights the data limitations inherent in existing surveys that frustrate a more-nuanced inquiry into employment and fertility outcomes. Analysts and statistical agencies responsible for household and labor force survey design could certainly apply some of the information they gain from questions that elicit retrospective histories of contraception and fertility to inform their interpretations of women's employment history, job quality, and labor market intermittency.}, + langid = {english}, + keywords = {cite::channels,inequality::gender,method::qualitative,out::abstract} } @article{Gammage2020a, @@ -4058,11 +4223,13 @@ issn = {1354-5701, 1466-4372}, doi = {10.1080/13545701.2019.1670350}, urldate = {2023-11-24}, - langid = {english} + abstract = {Reproductive health and employment are inextricably linked for women. Across the globe, women are the primary caretakers of children, and a woman's reproductive years tend to overlap with her economically productive years. Planned and unplanned pregnancy and childbearing affect women's ability to pursue different types of economic opportunities and even the choice of sectors in which they seek to work. This study explores the timing and sequencing of policy to address reproductive health needs and to strengthen labor market institutions and social protection, illustrated by case studies from six developing countries {\textendash} Brazil, Paraguay, Uruguay, South Africa, the Philippines, and Vietnam {\textendash} which have similar demographic transitions but divergent labor market outcomes for women. The findings suggest that where fertility transitions have been sharpest, this has not automatically translated into more employment and better labor market outcomes for women {\textendash} illuminating a critical role for policy to support women's transition into formal employment.}, + langid = {english}, + keywords = {cite::channels,country::Brazil,country::Paraguay,country::Philippines,country::South\_Africa,country::Uruguay,country::Vietnam,inequality::gender,inequality::health,inequality::income,out::abstract} } @article{Gates2000, - title = {[{{No}} Title Found]}, + title = {Workplace {{Accommodation}} as a {{Social Process}}}, author = {Gates, Lauren B.}, year = {2000}, journal = {Journal of Occupational Rehabilitation}, @@ -4071,7 +4238,9 @@ pages = {85--98}, issn = {10530487}, doi = {10.1023/A:1009445929841}, - urldate = {2023-11-24} + urldate = {2023-11-24}, + abstract = {Successful sustained employment for people with disabilities is a function of a complex array of factors. Key among these factors is appropriate accommodation at the workplace. Current approaches to accommodation, however, are often unsuccessful. Research suggests that this is due, in part, to the limited view of accommodation as technical changes to the job. An approach to accommodation that does not take into account the social context ignores the consequences of the process on work group morale and individual self-esteem and well-being. This has repercussions for individual job performance, job satisfaction and work retention, as well as overall work group productivity. An intervention was designed to take into account the social nature of the accommodation process and pilot tested with 12 workers who were out on a short term disability leave with a psychiatric diagnosis and their work groups. Based on a psychoeducational model, the intervention educates the work group about what it means to work with a disability, provides a safe environment where the worker with disability and coworkers can share concerns about the impact of accommodation on the group, informs about the accommodation process and specifies strategies to help the worker with disability best meet job requirements. Key intervention components include 1) the development of a disclosure plan since workplace intervention cannot occur without disclosure, 2) a systematic method for identifying the work group members, 3) a formal psychoeducation training that includes the supervisor, identified work group members, and the individual in the work organization who has the authority to approve accommodations, and 4) on-going follow up support to the supervisor and worker with disability. Although generalizability of the findings is limited because of the small sample size and its application only to those with mental health conditions, they support the importance of this approach to employment outcomes for people with disabilities. First, findings suggest that the rehabilitation process cannot stop at placement. Providers must be willing and able to enter the workplace with their clients. This requires providers to take on new roles such as educators, interpreters, negotiators and trainers. Disclosure must lose its status as a taboo topic. Providers and workers with disabilities must come to understand the risks and benefits of disclosure, and, when the decision is made to disclose, must have a formal, structured plan for carrying it out. Finally, workplace intervention must take into account the social context and provide the opportunity for communication and interaction in order to insure the success of the accommodations.}, + keywords = {inequality::disability,relevant,TODO::full-text} } @article{Gautam2022, @@ -4087,7 +4256,8 @@ issn = {27728838}, doi = {10.1016/j.geogeo.2021.100011}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Gelbach2002, @@ -4150,7 +4320,9 @@ issn = {01406736}, doi = {10.1016/S0140-6736(19)30987-0}, urldate = {2023-11-24}, - langid = {english} + abstract = {The gender equality and women's empowerment agenda is recognised in the Sustainable Development Goals (SDGs) and by various UN and government commitments before the SDGs. However, mainstream public health and public policy have yet to invest substantially in research and action to tackle gender inequalities in health. Building on the Women and Gender Equity Knowledge Network (WGEKN) report submitted to the WHO's Commission on Social Determinants of Health, 1 the new Lancet Series on gender equality, norms, and health 2 , 3 , 4 , 5 , 6 brings back to the foreground the urgency with which attention, resources, action, and accountability must be dedicated to transform gender inequalities in health. Gender inequality remains one of the most pervasive inequalities in health and one of the most insidious because it is one where backlash against progress retains legitimacy and actively contests progressive change.}, + langid = {english}, + keywords = {inequality::gender,inequality::health,out::abstract} } @article{Gerhardt2008, @@ -4181,7 +4353,8 @@ issn = {0033-5533, 1531-4650}, doi = {10.2307/2118385}, urldate = {2023-11-24}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Gibson2014, @@ -4198,7 +4371,8 @@ doi = {10.1177/1363459313476967}, urldate = {2023-11-24}, abstract = {Children and youth with progressive conditions are living longer, and there is increased interest in designing programs that will assist them with ``transitioning'' to adulthood. Almost none of the transitions research to date, however, has attended to the experiences of disabled boys in ``becoming men,'' nor has there been critical conceptual work problematizing notions of ``normal'' adulthood or theorizing the complex, diverse, and gendered experiences of transitioning. In this Canadian study, we investigated the intersectionality of gender, disability, and emerging adulthood with 15 young men with Duchenne muscular dystrophy. Participants created audio diaries and photographs that were explored in in-depth interviews. Using a Bourdieusian lens and Arthur Frank's notion of the narrative habitus, we examined how participants re/negotiated identities in everyday practices. Our analysis suggested that disability, masculinities, and generational (life stage) identities intersected through ``narratives of nondifference,'' wherein participants worked to establish identities as typical ``guys.'' Within limited fields of school and work, participants distanced themselves from the label of ``disabled'' and discussed their successes and challenges in terms of normative developmental trajectories. We suggest that the pursuit of ``normal'' is reproduced and reinforced in health and social programs and closes off other narratives and possibilities.}, - langid = {english} + langid = {english}, + keywords = {cite::channels,country::Canada,inequality::disability,inequality::gender,out::abstract,region::NA} } @article{Gibson2018, @@ -4213,7 +4387,8 @@ issn = {01406736}, doi = {10.1016/S0140-6736(18)32083-X}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title,review::scoping,TODO::review,type::ubi} } @article{Gilbert1982, @@ -4229,7 +4404,8 @@ pages = {129}, issn = {00202754}, doi = {10.2307/622218}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{Gilbert2010, @@ -4276,7 +4452,9 @@ issn = {0734-306X, 1537-5307}, doi = {10.1086/704615}, urldate = {2023-11-24}, - langid = {english} + abstract = {We study how parental leave benefit levels affect household labor supply, family income, and child outcomes, exploiting the speed premium (SP) in the Swedish leave system. The SP grants mothers higher benefits for a subsequent child without reestablishing eligibility through market work if two births occur within a prespecified interval. We use the spacing eligibility cutoffs in a regression discontinuity framework and find that the SP improves educational outcomes of the older child but not those of the younger. Impacts are likely driven by increased maternal time and the quality of maternal time relative to the counterfactual mode of care.}, + langid = {english}, + keywords = {country::Sweden,inequality::education,inequality::generational,region::EU,relevant,TODO::full-text} } @article{Gold2012, @@ -4315,7 +4493,8 @@ unique-id = {WOS:000323663500004}, usage-count-last-180-days = {1}, usage-count-since-2013 = {27}, - web-of-science-categories = {Rehabilitation} + web-of-science-categories = {Rehabilitation}, + keywords = {TODO::abstract} } @techreport{Goldin1994a, @@ -4329,7 +4508,8 @@ institution = {{National Bureau of Economic Research}}, doi = {10.3386/w4707}, urldate = {2023-11-24}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Goldin2002, @@ -4426,7 +4606,8 @@ doi = {10.1080/00420980120051701}, urldate = {2023-11-20}, abstract = {One prediction of the spatial mismatch hypothesis is that black residents of the central city will have longer commutes than others. This prediction actually has two different components: African-Americans commute longer distances because they face discrimination in housing and/or labour markets; city-dwellers commute longer distances because entry-level jobs are scarce in the central city. This study uses a quasi-experimental design to distinguish between these two types of spatial mismatch. We compare 1990 commuting times for the residents of four Cleveland neighbourhoods: a poor black neighbourhood in Cleveland, a poor white neighbourhood in Cleveland, a lower-middle-class black suburb and a lower-middle-class white suburb. We were unable to find strong evidence that city residents suffered from poor job accessibility in 1990. We did find, however, that residents of the black suburb had longer commutes than residents of the white suburb{\textemdash}in spite of the fact that the black suburb was accessible to more skill-matched jobs. Probing further, we discovered that far more black than white suburbanites worked in the central city. This finding suggests that hiring discrimination or industry sector preferences on the part of black workers are potentially overlooked causes of racial differentials in commuting behaviour.}, - langid = {english} + langid = {english}, + keywords = {cite::channels,country::US,inequality::racial,inequality::spatial,out::abstract,region::NA} } @article{Gough2017, @@ -4444,7 +4625,7 @@ } @article{Gounder2020, - title = {Economic {{Vulnerabilities}} and {{Livelihoods}}: {{Impact}} of {{{\textsc{COVID}}}} -19 in {{Fiji}} and {{Vanuatu}}}, + title = {Economic {{Vulnerabilities}} and {{Livelihoods}}: {{Impact}} of {{COVID}}-19 in {{Fiji}} and {{Vanuatu}}}, shorttitle = {Economic {{Vulnerabilities}} and {{Livelihoods}}}, author = {Gounder, Rukmani}, year = {2020}, @@ -4456,7 +4637,8 @@ issn = {0029-8077, 1834-4461}, doi = {10.1002/ocea.5273}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Graham2005, @@ -4505,7 +4687,8 @@ pages = {581}, issn = {00346535}, doi = {10.2307/1935854}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{Greenberg1983, @@ -4521,7 +4704,8 @@ issn = {0734-306X, 1537-5307}, doi = {10.1086/298019}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Greene1997, @@ -4537,7 +4721,8 @@ doi = {10.1177/0002716297551001013}, urldate = {2023-11-20}, abstract = {The settlement pattern of new immigrants in the Chicago urban region diverges significantly from previous immigration periods, when employment was concentrated in the urban core. In recent decades, the rate of employment decentralization in the Chicago area has accelerated, giving rise to edge cities, which are acquiring an increasing share of the region's total employment. As a result, the new immigrants are in a far more favorable geographic position than the region's indigenous poor to compete in the local unskilled labor market. Meanwhile, with the absence of new immigrants settling the region's traditional port-of-entry neighborhoods, thus not replacing the exiting middle class, large sections of Chicago's urban core are being bypassed, further isolating the indigenous poor from the economic mainstream.}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Greiner2011, @@ -4585,7 +4770,8 @@ pages = {654}, issn = {0022166X}, doi = {10.2307/145406}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{Gronn2002, @@ -4690,7 +4876,8 @@ unique-id = {WOS:000472236200042}, usage-count-last-180-days = {3}, usage-count-since-2013 = {63}, - web-of-science-categories = {Medicine, General \& Internal} + web-of-science-categories = {Medicine, General \& Internal}, + keywords = {cite::framework,out::abstract} } @article{Gutberlet2008, @@ -4754,7 +4941,8 @@ doi = {10.1177/026858094009001006}, urldate = {2023-11-24}, abstract = {This article examines female labour force participation and gender role attitudes from a comparative perspective, using recent survey data from eight countries. It starts with two general hypotheses. The technological-functional hypothesis states that the increase in women's labour force participation is a necessary concomitant of industrialisation, followed sooner or later by a corresponding adaptation of gender role attitudes toward individualistic-egalitarian values. The cultural-institutional hypothesis states that extra-familial work of women and gender role attitudes are both related to historically persistent, general societal values regarding personal individuality and freedom, family and social stratification. Empirical results did not confirm the hypothesis that the higher the employment rate of women in a particular country, the more the population will have egalitarian gender role attitudes. This is exemplified by the two polar cases of Hungary with the highest levels of employment, but most traditional attitudes, and Netherlands with relatively low levels of employment but very modern attitudes. It seems that the actual employment rates of women (as well as an economic motivation of female employment as a contribution to household income) are primarily determined by changing economic circumstances and policies as well as the actual economic situation of women and their family. Gender role attitudes, however, are shaped not only by structural changes due to industrialisation but also by socio-cultural factors, such as the religious heritages of different countries. In this regard, our second hypothesis also obtains empirical support.}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Hallman2005, @@ -4786,7 +4974,8 @@ issn = {2214109X}, doi = {10.1016/S2214-109X(20)30366-1}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Han2011, @@ -4818,7 +5007,8 @@ doi = {10.1007/978-3-319-98473-5_5}, urldate = {2023-11-24}, isbn = {978-3-319-98472-8 978-3-319-98473-5}, - langid = {english} + langid = {english}, + keywords = {out::title} } @incollection{Hanif2017, @@ -4847,7 +5037,8 @@ doi = {10.1007/978-3-319-98473-5}, urldate = {2023-11-24}, isbn = {978-3-319-98472-8 978-3-319-98473-5}, - langid = {english} + langid = {english}, + keywords = {out::title} } @incollection{Hankivsky2019a, @@ -4863,7 +5054,8 @@ doi = {10.1007/978-3-319-98473-5_6}, urldate = {2023-11-24}, isbn = {978-3-319-98472-8 978-3-319-98473-5}, - langid = {english} + langid = {english}, + keywords = {out::title} } @incollection{Hankivsky2019b, @@ -4879,7 +5071,8 @@ doi = {10.1007/978-3-319-98473-5_1}, urldate = {2023-11-24}, isbn = {978-3-319-98472-8 978-3-319-98473-5}, - langid = {english} + langid = {english}, + keywords = {out::title} } @incollection{Hannes2011, @@ -4912,7 +5105,9 @@ issn = {1569-5239, 1573-7152}, doi = {10.1007/s11150-013-9215-8}, urldate = {2023-11-24}, - langid = {english} + abstract = {We ask whether cheaper child care can spur labor supply of mothers in an economy with high female labor supply. We exploit exogenous variation in child care prices induced by a public reform. A triple difference approach is put forward. The results show that reduced child care prices led to a rise in labor supply of mothers by approximately 5 \%. A ``back-of-the-envelope'' calculation estimates an elasticity of approximately -0.25, which is at the lower end compared to other studies, suggesting that labor supply is less elastic when female employment is high. Since a capacity-increase was introduced at the same time, the positive labor supply effect may be a result of both reduced prices and increased capacity.}, + langid = {english}, + keywords = {inequality::gender,inequality::generational,relevant,TODO::full-text} } @article{Harttgen2014, @@ -4928,7 +5123,8 @@ doi = {10.1007/s13524-013-0252-y}, urldate = {2023-11-24}, abstract = {Abstract Myrskyl{\"a} et al. (2009) found that the relationship between the human development index (HDI) and the total fertility rate (TFR) reverses from negative (i.e., increases in HDI are associated with decreases in TFR) to positive (i.e., increases in HDI are associated with increases in TFR) at an HDI level of 0.86. In this article, we show that the reversal in the HDI-TFR relationship is robust to neither the UNDP's recent revision in the HDI calculation method nor thedecomposition of the HDI into its education, standard-of-living, and health subindices.}, - langid = {english} + langid = {english}, + keywords = {cite::further\_reading,out::abstract} } @article{Hasan2021, @@ -4944,7 +5140,8 @@ issn = {2510-2265}, doi = {10.1007/s41782-021-00161-5}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Haseeb2015, @@ -4959,7 +5156,9 @@ pages = {p29}, issn = {1913-1852, 1913-1844}, doi = {10.5539/mas.v9n8p29}, - urldate = {2023-11-24} + urldate = {2023-11-24}, + abstract = {The principal objective of this paper is to investigate the dilemma between the female labour force participation rate and total fertility rate for the ASEAN-6 countries from the period 1995 to 2013 using panel cointegration and long-run structural estimation. The cointegration results confirm that the female labour force participation rate and total fertility rate are cointegrated for the panel of ASEAN-6 countries. Whereas, long-run Granger causality authenticate the causality run from the total fertility rate to the female labour force participation rate. Moreover, the results show that 1percent increase in the total fertility rate cause in a 0.44 percent decrease in the female labour force participation rate for the ASEAN-6 countries. The TFR highest negative effect observed in Indonesia and smallest observed in Thailand. The results of fully modify ordinary least square confirm the long run panel relationship between female labour force and total fertility rate.}, + keywords = {cite::channels,inequality::gender,out::abstract} } @article{Hay2019, @@ -4975,7 +5174,9 @@ issn = {01406736}, doi = {10.1016/S0140-6736(19)30648-8}, urldate = {2023-11-24}, - langid = {english} + abstract = {Restrictive gender norms and gender inequalities are replicated and reinforced in health systems, contributing to gender inequalities in health. In this Series paper, we explore how to address all three through recognition and then with disruptive solutions. We used intersectional feminist theory to guide our systematic reviews, qualitative case studies based on lived experiences, and quantitative analyses based on cross-sectional and evaluation research. We found that health systems reinforce patients' traditional gender roles and neglect gender inequalities in health, health system models and clinic-based programmes are rarely gender responsive, and women have less authority as health workers than men and are often devalued and abused. With regard to potential for disruption, we found that gender equality policies are associated with greater representation of female physicians, which in turn is associated with better health outcomes, but that gender parity is insufficient to achieve gender equality. We found that institutional support and respect of nurses improves quality of care, and that women's empowerment collectives can increase health-care access and provider responsiveness. We see promise from social movements in supporting women's reproductive rights and policies. Our findings suggest we must view gender as a fundamental factor that predetermines and shapes health systems and outcomes. Without addressing the role of restrictive gender norms and gender inequalities within and outside health systems, we will not reach our collective ambitions of universal health coverage and the Sustainable Development Goals. We propose action to systematically identify and address restrictive gender norms and gender inequalities in health systems.}, + langid = {english}, + keywords = {out::abstract} } @article{Hayami2006, @@ -5022,7 +5223,8 @@ issn = {0038-0253, 1533-8525}, doi = {10.1111/j.1533-8525.1999.tb00544.x}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Heath2017, @@ -5053,7 +5255,8 @@ abstract = {Two important recent trends in most developing countries are the rise in female labor force participation and the closing of gender gaps in school enrollment. This article begins by exploring the causes of the increases in female education, which include greater job availability and policy interventions that have promoted girls' education. The article then explores the causes of increased female employment, which include a sectoral shift from ``brawn-based'' industries to services, as well as policies that have increased girls' education. The article also discusses the effects of these increases in female education and labor supply, particularly for the well-being of women.}, collaborator = {Heath, Rachel and Jayachandran, Seema}, isbn = {978-0-19-062896-3}, - langid = {english} + langid = {english}, + keywords = {cite::channels,inequality::gender,inequality::income,out::title} } @article{Heffernan1977, @@ -5068,7 +5271,8 @@ issn = {0148-0847}, doi = {10.1093/swra/13.2.17}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Herbst2008, @@ -5114,7 +5318,9 @@ issn = {0963-8024, 1464-3723}, doi = {10.1093/jae/ejy024}, urldate = {2023-11-24}, - langid = {english} + abstract = {Women represent the majority of informal workers in developing countries, especially in Sub-Saharan Africa. It is also the case that the region is characterised by high adolescent pregnancy rates. Little empirical evidence exists concerning the causal relationship between teen fertility and the likelihood of informal employment. Using longitudinal data from Madagascar designed to capture the transition from adolescence to adulthood, we estimate a multinomial logit model to capture the effect of the timing of first birth on female selection into four categories: non-participation, informal employment, formal employment, and student. To address the endogeneity of fertility and labor market outcomes, we instrument timing of first birth using women's community-level access, and duration of exposure to family planning. Our results suggest that motherhood increases the probability of employment and that women whose first birth occurs during adolescence are mostly employed into low-quality informal jobs. This effect is partially, but not entirely, mediated by the effect of teen childbearing on schooling.}, + langid = {english}, + keywords = {cite::channels,country::Madagascar,inequality::education,inequality::gender,inequality::income,out::abstract,region::SSA} } @article{HerreraAlmanza2018, @@ -5131,7 +5337,8 @@ doi = {10.1007/s13524-018-0664-9}, urldate = {2023-11-24}, abstract = {Abstract Female secondary school attendance has recently increased in sub-Saharan Africa, and so has the risk of becoming pregnant while attending school. We analyze the impact of teenage pregnancy on young women's human capital using longitudinal data in Madagascar that capture the transition from adolescence to adulthood for a cohort aged 21{\textendash}24 in 2012, first interviewed in 2004. We find that early childbearing increases the likelihood of dropping out of school and decreases the chances of completing secondary school. This pregnancy-related school dropout also has a detrimental impact on standardized test scores in math and French. We instrument early pregnancy with the young woman's community-level access and her exposure to condoms since age 15 after controlling for pre-fertility socioeconomic conditions. Our results are robust to different specifications that address potential endogeneity of program placement and instrument validity.}, - langid = {english} + langid = {english}, + keywords = {cite::channels,country::Madagascar,inequality::education,inequality::gender,inequality::generational,out::abstract,region::SSA} } @article{Hersch2011, @@ -5194,7 +5401,8 @@ doi = {10.1007/s11150-022-09600-2}, urldate = {2023-11-20}, abstract = {Abstract This study examines changes in labor supply, income, and time allocation during the COVID-19 pandemic in Mexico. Using an event-study design, we show that the COVID-19 recession had severe negative consequences for Mexican households. In the first month of the pandemic, employment declined by 17 percentage points. Men recovered their employment faster than women, where men's employment approaches original levels by 2021Q2. Women, on the other hand, experienced persistent employment losses. Within-household, men also increased their time spent on household chores while neither gender (persistently) increased their time caring for others. Instead, children reduced their time spent on schoolwork by 25\%.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Hofstede1980, @@ -5210,7 +5418,8 @@ issn = {00902616}, doi = {10.1016/0090-2616(80)90013-3}, urldate = {2023-11-24}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Hogansen2008, @@ -5237,7 +5446,9 @@ month = aug, institution = {{Inter-American Development Bank}}, doi = {10.18235/0001849}, - urldate = {2023-11-24} + urldate = {2023-11-24}, + abstract = {This paper evaluates the impacts of a public program that introduced access to part-time childcare centers for children younger than four years of age in poor urban areas in Nicaragua. We explore the effects of this program on several measures of children's and parental outcomes. Our identification strategy exploits the original randomization and the distance to the centers, using Instrumental Variables (IV) and Marginal Treatment Effects (MTE) methods to tackle imperfect compliance with the original treatment assignments. We present a theoretical model to rationalize our IV assumptions. We find a positive impact of 0.35 standard deviations on the personal-social domain of a widely used development test, and an impact of 14 percentage points on mothers' work participation. Our results are robust to different econometric specifications. We also find suggestive evidence that quality greatly matters for the impacts at the child level, but not at the mother level.}, + keywords = {country::Nicaragua,inequality::gender,inequality::generational,region::LAC,relevant,TODO::full-text,type::maternity\_benefit} } @article{Hollister1974, @@ -5252,7 +5463,8 @@ pages = {223}, issn = {0022166X}, doi = {10.2307/144974}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{Holwerda2013, @@ -5283,7 +5495,8 @@ issn = {0362-2436}, doi = {10.1097/00007632-200008150-00017}, urldate = {2023-11-24}, - langid = {english} + langid = {english}, + keywords = {out::title,review::systematic} } @article{Hoque2021, @@ -5297,7 +5510,8 @@ issn = {26669153}, doi = {10.1016/j.jadr.2021.100241}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Horner2016, @@ -5330,7 +5544,8 @@ doi = {10.1177/0971523121995072}, urldate = {2023-11-20}, abstract = {The Novel Corona Virus (COVID-19) has created tremendous negative impacts on the livelihood of the marginal population in Bangladesh. Many people working in the informal sector have lost their job and income due to the ongoing pandemic. Unemployment and poverty among the people in both urban and rural areas throughout the country have increased. The success in economic growth in the last few decades could not save poor people to become extreme poor because economic prosperity was not inclusive in Bangladesh. This study tries to identify some of the impacts that COVID-19 has imposed on the lives of marginal population. Then it indicates some of the serious limitations of the existing economic policies. This article suggests that only growth-oriented policy measures are not sufficient to reconstruct the economy in the post-COVID era. Rather Bangladesh needs to adopt employment-oriented economic policies that are capable to create more jobs and reduce poverty and inequality.}, - langid = {english} + langid = {english}, + keywords = {cite::channels,country::Bangladesh,inequality::poverty,out::abstract,region::AP} } @article{Hossain2021a, @@ -5346,7 +5561,8 @@ doi = {10.3390/asi4040077}, urldate = {2023-11-20}, abstract = {The COVID-19 outbreak resulted in preventative measures and restrictions for Bangladesh during the summer of 2020{\textemdash}these unstable and stressful times led to multiple social problems (e.g., domestic violence and divorce). Globally, researchers, policymakers, governments, and civil societies have been concerned about the increase in domestic violence against women and children during the ongoing COVID-19 pandemic. In Bangladesh, domestic violence against women and children has increased during the COVID-19 pandemic. In this article, we investigated family violence among 511 families during the COVID-19 outbreak. Participants were given questionnaires to answer, for a period of over ten days; we predicted family violence using a machine learning-based model. To predict domestic violence from our data set, we applied random forest, logistic regression, and Naive Bayes machine learning algorithms to our model. We employed an oversampling strategy named the Synthetic Minority Oversampling Technique (SMOTE) and the chi-squared statistical test to, respectively, solve the imbalance problem and discover the feature importance of our data set. The performances of the machine learning algorithms were evaluated based on accuracy, precision, recall, and F-score criteria. Finally, the receiver operating characteristic (ROC) and confusion matrices were developed and analyzed for three algorithms. On average, our model, with the random forest, logistic regression, and Naive Bayes algorithms, predicted family violence with 77\%, 69\%, and 62\% accuracy for our data set. The findings of this study indicate that domestic violence has increased and is highly related to two features: family income level during the COVID-19 pandemic and education level of the family members.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Hossain2021b, @@ -5363,7 +5579,8 @@ doi = {10.1136/bmjpo-2021-001328}, urldate = {2023-11-20}, abstract = {The social burden of Bangladesh's already prevalent child marriage problem has further flared up amid the ongoing COVID-19 pandemic. We aim to briefly report on the current scenario of underage marriage in Bangladesh from available sources and highlight concerns. The prevalence of child marriage has increased by at least 13\% due to pandemic-enforced long-term school closure throughout the country, while many cases remain unreported. Exacerbated financial crisis, the prolonged shutdown of educational institutions and social insecurities are the principal triggering factors for such a high pace of child marriages. We urge the government and local administrations to address the current situation through concerted and integrated efforts to combat the early marriage crisis in Bangladesh.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Hossain2021c, @@ -5378,7 +5595,8 @@ issn = {26665603}, doi = {10.1016/j.ssmmh.2021.100039}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Hotchkiss2017, @@ -5410,7 +5628,9 @@ issn = {0194-4363, 1939-0130}, doi = {10.1080/01944363.2015.1042014}, urldate = {2023-11-20}, - langid = {english} + abstract = {Problem, research strategy, and findings: Kain's Spatial Mismatch Hypothesis (SMH) suggests that disadvantaged groups who reside in inner-city neighborhoods have low access to regional jobs. We continue to debate this assertion because empirical studies over decades have conflicting results. This research examines whether the poor face spatial mismatch and how suburbanization has changed their job accessibility, in the Los Angeles region between 1990 and 2007{\textendash}2011. I define spatial mismatch as occurring when the poor in the inner city have lower job accessibility than their suburban counterparts. I estimate job accessibility based on the spatial distribution of jobs and job seekers traveling via private automobiles. My results present a complicated picture: Inner-city poor job seekers have higher job accessibility than their suburban counterparts because many jobs remain in the inner city; thus, the inner-city poor do not face spatial mismatch. Moreover, suburbanization has evened out the differences in the job accessibility of the poor and non-poor. However, the advantage of living in the inner city for job access declines with rapid employment suburbanization.}, + langid = {english}, + keywords = {cite::channels,country::US,inequality::poverty,inequality::spatial,out::abstract,region::NA} } @article{Huang2013, @@ -5459,7 +5679,8 @@ doi = {10.3138/jcfs.23.2.249}, urldate = {2023-11-20}, abstract = {Marital dissolutions occur for a variety of reasons. Among low income families, the added stress of inadequate earnings, intermittent job spells, and high unemployment may contribute to the decision to end a marriage. One approach to end poverty and marital instability is to give income assistance to the poor. At the same time, cash transfers might foster family breakups, intentionally or otherwise. For example, if the welfare system is designed such that individuals are better off living separately than together, there will be a financial incentive to split. The effect of income transfers on family structure is theoretically ambiguous. On the one hand, low income families may become more stable if stress factors associated with low earnings, intermittent job spells and the like are lessened by the receipt of assistance. On the other hand, unstable marriages held together strictly for economic convenience may have their bonds weakened if individuals, when separated, are eligible for support. Consequently, whether income assistance engenders, on balance, effects which are stabilising or destabilising is an empirical question which depends upon the specific population group and the assistance program under consideration. This paper employs microdata from MINCOME (Canada's experimental test of guaranteed income) to examine the effect of various income transfers on family dissolution. Employing a path model, we find that family income level is principally an intervening rather than a direct factor in determining whether or not a family will stay intact. Our results suggest that whether or not the male head has a stable work pattern, and whether or not the female head works at all, or earns more than her spouse, are more direct contributors to marital instability than the level of family income itself.}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Hum1993, @@ -5475,7 +5696,8 @@ issn = {0734-306X, 1537-5307}, doi = {10.1086/298335}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Hupkau2020, @@ -5491,7 +5713,8 @@ doi = {10.1111/1475-5890.12245}, urldate = {2023-11-20}, abstract = {Abstract We explore the effects of the COVID-19 crisis and the associated restrictions to economic activity on paid and unpaid work for men and women in the United Kingdom. Using data from the COVID-19 supplement of Understanding Society, we find evidence that labour market outcomes of men and women were roughly equally affected at the extensive margin, as measured by the incidence of job loss or furloughing. But, if anything, women suffered smaller losses at the intensive margin, experiencing slightly smaller changes in hours and earnings. Within the household, women provided on average a larger share of increased childcare needs, but in an important share of households fathers became the primary childcare providers. These distributional consequences of the pandemic may be important to understand its inequality legacy over the longer~term.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Hurst1982, @@ -5507,7 +5730,8 @@ doi = {10.1177/0002716282461000012}, urldate = {2023-11-20}, abstract = {This article focuses on child care arrangements, mothering attitudes, and family support systems as they affect the labor force participation of urban Puerto Rican mothers. In general, for women in the United States, paid work outside the home has become a normal part of life and, for most women, a necessary aspect of existence. Puerto Rican women, particularly those in the New York City area, however, have declining, not rising, rates of labor force participation. Our study looked to child care factors for a partial explanation for this work pattern. The study method used in-depth interviews with a sample of 40 Puerto Rican mothers stratified by occupational status. All these mothers have worked outside the home, but not all are currently working. Cultural values toward family care were strongly expressed by the mothers and were found to significantly affect work patterns, particularly for women with erratic work histories. The social policy implications of this study relate to the need to recognize and act on the connection between participation in the labor market and cultural attitudes toward child care for a significant low-income urban minority population.}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Hutchinson1978, @@ -5522,7 +5746,8 @@ issn = {0017-4815, 1468-2257}, doi = {10.1111/j.1468-2257.1978.tb00357.x}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Idler1997, @@ -5539,7 +5764,8 @@ pages = {21}, issn = {00221465}, doi = {10.2307/2955359}, - urldate = {2023-11-24} + urldate = {2023-11-24}, + keywords = {issue::age,out::year} } @article{Ihlanfeldt1998, @@ -5555,7 +5781,8 @@ issn = {1051-1482, 2152-050X}, doi = {10.1080/10511482.1998.9521321}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Ihlanfeldt2006, @@ -5601,7 +5828,8 @@ issn = {1354-5701, 1466-4372}, doi = {10.1080/13545701.2020.1849764}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {cite::channels,country::Turkey,inequality::gender,inequality::income,out::abstract,region::MENA} } @techreport{ILO2002, @@ -5731,7 +5959,8 @@ doi = {10.1177/0022034519877385}, urldate = {2023-11-24}, abstract = {Gender inequality in science, medicine, and dentistry remains a central concern for the biomedical research workforce today. Although progress in areas of inclusivity and gender diversity was reported, growth has been slow. Women still face multiple challenges in reaching higher ranks and leadership positions while maintaining holistic success in these fields. Within dental research and academia, we might observe trends toward a more balanced pipeline. However, women continue to face barriers in seeking leadership roles and achieving economic equity and scholarship recognition. In an effort to evaluate the status of women in dental research and academia, the authors examined the role of the International Association for Dental Research (IADR), a global research organization, which has improved awareness on gender inequality. The goal of this article is to review five crucial issues of gender inequality in oral health research and academics{\textemdash}workforce pipeline, economic inequality, workplace harassment, gender bias in scholarly productivity, and work-life balance{\textemdash}and to discuss proactive steps that the IADR has taken to promote gender equality. Providing networking and training opportunities through effective mentoring and coaching for women researchers, the IADR has developed a robust pipeline of women leaders while promoting gender equality for women in dental academia through a culture shift. As knowledge gaps remained on the levels of conscious and unconscious bias and sexist culture affecting women advancement in academics, as well as the intersectionality of gender with race, gender identity, ability status, sexual orientation, and cultural backgrounds, the IADR has recognized that further research is warranted.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Iqbal2008, @@ -5764,7 +5993,8 @@ doi = {10.4081/jphr.2020.1794}, urldate = {2023-11-20}, abstract = {An outbreak of a COVID-19 pandemic disease, caused by a novel coronavirus SARS-CoV-2, has posed a serious threat to global human health. Bangladesh has also come under the attack of this viral disease. Here, we aimed to describe the responses of Bangladesh to tackle the COVID-19, particularly on how Bangladesh is dealing with this novel viral disease with its limited resources. The first case of a COVID-19 patient was detected in Bangladesh on March 8, 2020. Since then, a total of 263,503 peoples are officially reported as COVID-19 infected with 3,471 deaths until August 11, 2020. To combat the COVID-19, the government has taken various steps viz. diagnosis of the suspected cases, quarantine of doubted people and isolation of infected patients, local or regional lockdown, closure of all government and private offices, increase public awareness and enforce social distancing, etc. Moreover, to address the socio-economic situations, the government announced several financial stimulus packages of about USD 11.90 billion. However, the government got 3 months since the disease was first reported in China, but the country failed in making proper strategies including contact tracing, introducing antibody/antigen-based rapid detection kit, and also failed to make multi-disciplinary team to combat this disease. Further, limited testing facilities and inadequate treatment service along with public unawareness are the major challenges for Bangladesh to tackle this situation effectively. Along with the government, personal awareness and assistance of non-government organizations, private organizations, researchers, doctors, industrialists, and international organizations are firmly required to mitigate this highly contagious disease.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Islam2020a, @@ -5780,7 +6010,8 @@ issn = {24058440}, doi = {10.1016/j.heliyon.2020.e04399}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Islam2021, @@ -5796,7 +6027,8 @@ issn = {24058440}, doi = {10.1016/j.heliyon.2021.e07395}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Itzigsohn1995, @@ -5811,7 +6043,8 @@ pages = {633}, issn = {00377732}, doi = {10.2307/2580495}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{Jahid2022, @@ -5828,7 +6061,8 @@ doi = {10.1108/JAP-08-2021-0027}, urldate = {2023-11-20}, abstract = {Purpose The pandemic situation has increased the domestic violence rate against women and children significantly around the world. However, it is difficult to measure the accurate rate of increased domestic violence because of restrictions and limited mobility in accessing help and reporting. This paper aims to highlight the current situation of the novel coronavirus 2019 (COVID-19) pandemic and domestic violence in Bangladesh. It also states the challenges of the unprecedented situation and how to encounter increasing domestic violence cases. Design/methodology/approach This paper is a viewpoint of the COVID-19 pandemic and domestic violence situation in Bangladesh. Accordingly, this paper includes a comprehensive literature review that summarises related articles and newspapers on domestic violence. Findings Bangladesh is one of the most vulnerable countries to COVID-19 because of its most dense population. Currently, the COVID-19 virus is spreading rapidly in all parts of Bangladesh. In Bangladesh, the COVID-19 pandemic is increasing domestic violence for women and girls. Because of the lockdown, financial stress and livelihood scarcity, domestic violence rates show an increasing tendency that should not be overlooked to ensure the safety and security of women and girls in Bangladesh. Originality/value This paper delivers information about the current situation of COVID-19 in Bangladesh and the challenges of domestic violence that have risen. This paper will be helpful to policymakers, government and non-government officials for developing effective social safety net interventions.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Jaim2021, @@ -5845,7 +6079,8 @@ doi = {10.1111/gwao.12546}, urldate = {2023-11-20}, abstract = {Abstract Within the unique context of COVID-19, this feminist research provides novel insights on how gender-specific issues are articulated in the experiences of women concerning their small businesses in a patriarchal developing nation. Based on the interviews of women business-owners in Bangladesh, this research reveals the diversified gendered experiences of women in private and public spheres in continuing their business operations during the pandemic period. It also unveils patriarchal practices regarding women's discontinuing or closing down ventures due to the COVID-19 crisis. Thus, the research substantially advances the understanding on the influence of gender on women's continuing or discontinuing or even closing down their businesses in a highly patriarchal developing nation during the pandemic period. It further offers important suggestions for policy practitioners in supporting women business-owners of patriarchal developing nations during the COVID-19 pandemic.}, - langid = {english} + langid = {english}, + keywords = {cite::channels,country::Bangladesh,inequality::gender,out::abstract,region::AP} } @article{Jamil2021, @@ -5862,7 +6097,8 @@ doi = {10.1177/00027642211000397}, urldate = {2023-11-20}, abstract = {A global outbreak of coronavirus (COVID-19) has profoundly escalated social, political, economic, and cultural disparities, particularly among the marginalized migrants of the global South, who historically remained key sufferers from such disparities. Approximately 8 million, such workers from Bangladesh, migrated from their homelands to work in neighboring countries, specifically in Southeast Asia and in the Middle East, and also contribute significantly to their country's economy. As many of the migrant workers work on temporary visas, scholars have expressed concerns about their physical and psychological health such as joblessness, mortality, abuses, daunting stress, and inhabitable living environment. Embracing the theoretical frameworks of critical{\textendash}cultural communication, this article explores two research questions: (1) What are the emerging narratives of experiencing realities and disparities among the Bangladeshi migrants at the margins? (2) How the migrants negotiated and worked on overcoming the adversities? In doing so, we have closely examined 85 Facebook Pages (number of subscribers: 10,000-1 million), dedicated to issues of Bangladeshi migrant workers to qualitatively analyze emerging mediated discourses (textual, visual, and audiovisual). Our analysis reveals several aspects, including, (1) impact of job insecurities on migrants and their families, (2) living conditions of and abuses on migrants works, (3) negotiations of mental stress by the marginalized migrants, and (4) how community support helps the migrants to survive during the pandemic.}, - langid = {english} + langid = {english}, + keywords = {cite::channels,country::Bangladesh,inequality::gender,inequality::income,inequality::poverty,out::abstract,region::AP} } @article{Janak2000, @@ -5877,7 +6113,8 @@ issn = {0927-5568, 1571-8182}, doi = {10.1163/15718180020494721}, urldate = {2023-11-20}, - abstract = {Abstract No Abstract} + abstract = {Abstract No Abstract}, + keywords = {issue::no-access,out::title} } @article{Jaumotte2003, @@ -5935,7 +6172,9 @@ institution = {{National Bureau of Economic Research}}, doi = {10.3386/w27449}, urldate = {2023-11-24}, - langid = {english} + abstract = {This article discusses cultural barriers to women's participation and success in the labor market in developing countries. I begin by describing how gender norms influence the relationship between economic development and female employment, as well as how gender norms vary substantially across societies at the same level of economic development. I then examine several specific gender-related social norms and how they constrain women's employment. I present examples of policies aimed at dismantling these cultural barriers to female employment and the impacts they have. Download a PDF Information on access}, + langid = {english}, + keywords = {cite::channels,inequality::gender,out::abstract} } @article{Jenkins1988, @@ -5966,7 +6205,8 @@ doi = {10.1136/injuryprev-2020-043831}, urldate = {2023-11-20}, abstract = {The objective of this study is to describe intimate partner violence (IPV) severity and types of victimization during the early states of the COVID19 pandemic. A survey was distributed through social media and email distribution lists. The survey was open for 14 days in April 2020 and 2441 participated. Information on IPV, COVID19-related IPV severity, sociodemographics, and COVID19-related behaviors (eg, job loss) were collected. Regression models were used to evaluate COVID19-related IPV severity across victimization types and sociodemographics. 18\% screened positive for IPV. Among the respondents that screened positive, 54\% stated the victimization remained the same since the COVID19 outbreak, while 17\% stated it worsened and 30\% stated it got better. The odds of worsening victimization during the pandemic was significantly higher among physical and sexual violence. While the majority of IPV participants reported victimization to remain the same, sexual and physical violence was exacerbated during the early stages of the pandemic. Addressing victimization during the pandemic (and beyond) must be multi-sectorial.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Johannsson2003, @@ -5996,7 +6236,8 @@ issn = {00952583, 14657295}, doi = {10.1111/j.1465-7295.1980.tb00586.x}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Jokela2010, @@ -6029,7 +6270,8 @@ doi = {10.1007/s13524-013-0237-x}, urldate = {2023-11-24}, abstract = {Abstract In sub-Saharan Africa, 60 \% of child deaths are preventable by investments in child health as simple as immunizations, bed nets, or water purification. This article investigates how a household's decisions regarding such investments are affected by the size and gender composition of a child's cohort. I focus on a previously overlooked type of investment: nonrival, child-specific goods (club goods). I empirically estimate the response of immunization status to cohort characteristics. I carefully address the problem of endogenous fertility, which is common in cohort studies. Because most rural Senegalese households are composed of multiple nuclear families, a child's cohort is composed of both siblings and nonsibling children. Estimating within households, I instrument cohort characteristics with those of the nonsibling (exogenous) portion. I find that children with larger (or more predominantly male) cohorts of vaccine-eligible age are significantly more likely to receive immunization. These findings suggest that children with larger cohorts may be better off in terms of club investments; this is a significant finding for child health given that many illness prevention methods are of a club good nature.}, - langid = {english} + langid = {english}, + keywords = {cite::channels,country::Senegal,inequality::generational,inequality::poverty,out::abstract,region::SSA} } @article{Jones2015a, @@ -6045,7 +6287,9 @@ issn = {0013-0079, 1539-2988}, doi = {10.1086/682981}, urldate = {2023-11-24}, - langid = {english} + abstract = {Total fertility rates in sub-Saharan Africa are nearly double that of any other region in the world. Some argue that providing contraceptives has only a negligibly small impact on fertility. I exploit exogenous, temporary reductions in contraceptive supply in Ghana, resulting from cuts in US funding, to examine impacts on pregnancy, abortion, and births. Women are unable to fully compensate for the 10\%{\textendash}16\% supply reduction using traditional methods for preventing pregnancy, which increases by 10\%. Only nonpoor women offset these unwanted pregnancies with induced abortion. Using separate data, I find that poor women experience increases in realized fertility of 7\%{\textendash}10\%.}, + langid = {english}, + keywords = {out::title} } @techreport{Jones2018b, @@ -6060,7 +6304,10 @@ institution = {{National Bureau of Economic Research}}, doi = {10.3386/w24312}, urldate = {2023-11-20}, - langid = {english} + abstract = {How would universal and permanent cash transfers affect the labor market? Since 1982, all Alaskan residents have received a yearly cash dividend from the Alaska Permanent Fund. Using data from the Current Population Survey and a synthetic control method, we show that the dividend had no effect on employment, and increased part-time work by 1.8 percentage points (17\%). We calibrate expected micro and macro effects of the cash transfer using prior literature, and find our results to be consistent with cash stimulating the local economy {\textemdash} a general equilibrium effect. We further show that non-tradable sectors have a more positive employment response than tradable sectors. Overall, our results suggest that a universal and permanent cash transfer does not significantly decrease aggregate employment.}, + langid = {english}, + keywords = {country::US,out::abstract,region::NA,type::cash\_transfer}, + note = {looks at probability of employment only (part-time, full-time, equilibria); NOT outcomes on inequalities} } @article{Jones2021a, @@ -6075,7 +6322,9 @@ issn = {07380593}, doi = {10.1016/j.ijedudev.2021.102428}, urldate = {2023-11-20}, - langid = {english} + abstract = {This article explores the social determinants of adolescents' access to education during the COVID-19 pandemic in three diverse urban contexts in Bangladesh, Ethiopia and Jordan. It provides novel empirical data from the Gender and Adolescence: Global Evidence longitudinal study, drawing on phone surveys (4441), qualitative interviews with adolescents aged 12{\textendash}19 years (500), and key informant interviews conducted between April and October 2020. Findings highlight that the pandemic is compounding pre-existing vulnerabilities to educational disadvantage, and that gender, poverty and disability are intersecting to deepen social inequalities. The paper concludes by reflecting on policy implications for inclusive distance education in emergencies.}, + langid = {english}, + keywords = {cite::channels,country::Jordan,inequality::disability,inequality::education,inequality::gender,inequality::poverty,out::abstract,region::MENA} } @article{Jorda2019, @@ -6133,7 +6382,9 @@ issn = {0001-4273, 1948-0989}, doi = {10.5465/amj.2013.0721}, urldate = {2023-11-24}, - langid = {english} + abstract = {Drawing on macro and micro domains in gender research, we meta-analytically test whether occupation-, industry-, and job-level factors mitigate or exacerbate differences in performance evaluations (k = 93; n = 95,882) and rewards (k = 97; n = 378,850) between men and women. Based on studies conducted across a variety of work settings and spanning nearly 30 years, we found that the sex differences in rewards (d = .56) (including salary, bonuses, and promotions) were 14 times larger than sex differences in performance evaluations (d = .04), and that differences in performance evaluations did not explain reward differences between men and women. The percentage of men in an occupation and the complexity of jobs performed by employees enhanced the male{\textendash}female gap in performance and rewards. In highly prestigious occupations, women performed equally, but were rewarded significantly lower than men. Only a higher representation of female executives at the industry level enabled women to reverse the gender gap in rewards and performance evaluations. Our configurational analysis also revealed that some occupation-, industry-, and job-level attributes of the work context jointly contributed to differences in rewards and performance evaluations.}, + langid = {english}, + keywords = {cite::channels,inequality::gender,out::abstract,review::meta} } @article{Juhn2017, @@ -6166,7 +6417,8 @@ issn = {0957-8811, 1743-9728}, doi = {10.1057/s41287-017-0119-y}, urldate = {2023-11-24}, - langid = {english} + langid = {english}, + keywords = {cite::channels,country::Bangladesh,inequality::gender,out::abstract,region::AP} } @article{Kabeer2021, @@ -6181,7 +6433,9 @@ issn = {1354-5701, 1466-4372}, doi = {10.1080/13545701.2021.1876906}, urldate = {2023-11-20}, - langid = {english} + abstract = {This article provides a contextual framework for understanding the gendered dimensions of the COVID-19 pandemic and its health, social, and economic outcomes. The pandemic has generated massive losses in lives, impacted people's health, disrupted markets and livelihoods, and created profound reverberations in the home. In 112 countries that reported sex-disaggregated data on COVID-19 cases, men showed an overall higher infection rate than women, and an even higher mortality rate. However, women's relatively high representation in sectors hardest hit by lockdown orders has translated into larger declines in employment for women than men in numerous countries. Evidence also indicates that stay-at-home orders have increased unpaid care workloads, which have fallen disproportionately to women. Further, domestic violence has increased in frequency and severity across countries. The article concludes that policy response strategies to the crisis by women leaders have contributed to more favorable outcomes compared to outcomes in countries led by men.}, + langid = {english}, + keywords = {out::title} } @article{Kabir2021, @@ -6199,7 +6453,8 @@ doi = {10.1371/journal.pone.0259281}, urldate = {2023-11-20}, abstract = {Background E-learning is a relatively trending system of education that has been placed over conventional campus-based learning worldwide, especially since the emergence of the COVID-19 pandemic. This study aimed to assess e-learning readiness among university students of a developing country like Bangladesh and identify the independent predictors of e-learning readiness. Methods From 26 December 2020 to 11 January 2021, a total of 1162 university students who had enrolled for e-learning completed a semi-structured questionnaire. Data were collected online via ``Google Form'' following the principles of snowball sampling through available social media platforms in Bangladesh. A multivariable linear regression model was fitted to investigate the association of e-learning readiness with perceived e-learning stress and other independent predictor variables. Results A total of 1162 university students participated in this study. The results indicated that with the increase of students' perceived e-learning stress score, the average e-learning readiness score was significantly decreased ({$\beta$} = -0.43, 95\% CI: -0.66, -0.20). The students did not seem ready, and none of the e-learning readiness scale items reached the highest mean score (5.0). The age, gender, divisional residence, preference of students and their parents, devices used, and having any eye problems were significantly associated with the students' e-learning readiness. Conclusion During the prolonged period of the COVID-19 pandemic, e-learning implication strategies are needed to be assessed systematically with the level of readiness and its' impacts among students for the continuation of sound e-learning systems. The study findings recommend evaluating the e-learning readiness of university students and the mental health outcomes during the COVID-19 catastrophe in Bangladesh.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Kain1992, @@ -6215,7 +6470,8 @@ issn = {1051-1482, 2152-050X}, doi = {10.1080/10511482.1992.9521100}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Kalasa2021, @@ -6247,7 +6503,8 @@ issn = {02779536}, doi = {10.1016/j.socscimed.2022.115364}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {relevant,TODO::abstract} } @article{Kalff2001, @@ -6262,7 +6519,9 @@ pages = {246--250}, issn = {0143005X}, doi = {10.1136/jech.55.4.246}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + abstract = {OBJECTIVE This study examined whether neighbourhood level socioeconomic variables have an independent effect on reported child behaviour problems over and above the effect of individual level measures of socioeconomic status. DESIGN AND SETTING Multilevel analysis of cross sectional survey data relating individual level child behavioural problems and parental measures of socioeconomic status with neighbourhood level measures of socioeconomic deprivation in the city of Maastricht, the Netherlands. PARTICIPANTS Children born in the years 1990{\textendash}1991 attending the second grade of normal kindergarten schools in the city of Maastricht, the Netherlands. Out of 1417 eligible 5{\textendash}7 year olds, the parents of 734 children (51.8\%) agreed to participate. MAIN RESULTS Child behaviour problems were more frequent in families of low parental occupation and education (F=14.51, df 3, 721, p{$<$}0.001; F=12.20, df 3, 721, p{$<$}0.001, respectively) and in families living in deprived neighbourhoods (F=13.26, df 2, 722, p{$<$}0.001). Multilevel random effects regression analysis showed that the effect of neighbourhood level deprivation remained after adjustment for individual level socioeconomic status (B over three levels of deprivation: 1.36; 95\%CI=0.28, 2.45). CONCLUSIONS Living in a more deprived neighbourhood is associated with higher levels of child problem behaviour, irrespective of individual level socioeconomic status. The additional effect of the neighbourhood may be attributable to contextual variables such as the level of social cohesion among residents.}, + keywords = {out::abstract} } @article{Kalist2004, @@ -6294,7 +6553,8 @@ pages = {496}, issn = {0022166X}, doi = {10.2307/145320}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{Kampfen2016, @@ -6325,7 +6585,8 @@ doi = {10.1177/089124388002003004}, urldate = {2023-11-24}, abstract = {This article argues that systematic comparative analyses of women's strategies and coping mechanisms lead to a more culturally and temporally grounded understanding of patriarchal systems than the unqualified, abstract notion of patriarchy encountered in contemporary feminist theory. Women strategize within a set of concrete constraints, which I identify as patriarchal bargains. Different forms of patriarchy present women with distinct ``rules of the game'' and call for different strategies to maximize security and optimize life options with varying potential for active or passive resistance in the face of oppression. Two systems of male dominance are contrasted: the sub-Saharan African pattern, in which the insecurities of polygyny are matched with areas of relative autonomy for women, and classic patriarchy, which is characteristic of South and East Asia as well as the Muslim Middle East. The article ends with an analysis of the conditions leading to the breakdown and transformation of patriarchal bargains and their implications for women's consciousness and struggles.}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Karatzias2020, @@ -6342,7 +6603,8 @@ doi = {10.1002/jts.22565}, urldate = {2023-11-20}, abstract = {Abstract The prevalence of posttraumatic stress disorder (PTSD) as it relates to individuals' experiences of the COVID-19 pandemic has yet to be determined. This study was conducted to determine rates of COVID-19{\textendash}related PTSD in the Irish general population, the level of comorbidity with depression and anxiety, and the sociodemographic risk factors associated with COVID-19{\textendash}related PTSD. A nationally representative sample of adults from the general population of the Republic of Ireland ( N = 1,041) completed self-report measures of all study variables. The rate of COVID-19{\textendash}related PTSD was 17.7\% ( n = 184), 95\% CI [15.35\%, 19.99\%], and there was a high level of comorbidity with generalized anxiety (49.5\%) and depression (53.8\%). Meeting the diagnostic requirement for COVID-19{\textendash}related PTSD was associated with younger age, male sex, living in a city, living with children, moderate and high perceived risk of COVID-19 infection, and screening positive for anxiety or depression. Posttraumatic stress symptoms related to the COVID-19 pandemic are common in the general population. Our results show that health professionals responsible for responding to the COVID-19 pandemic should expect to routinely encounter symptoms and concerns related to posttraumatic stress. , Resumen Spanish Abstracts by Asociaci{\'o}n Chilena de Estr{\'e}s Traum{\'a}tico (ACET) Problemas de estr{\'e}s postraum{\'a}tico durante la pandemia de COVID-19 en Irlanda TEPT DURANTE LA PANDEMIA DE COVID-19 La prevalencia del trastorno por estr{\'e}s postraum{\'a}tico (TEPT) en lo que respecta a las experiencias de las personas en la pandemia de COVID-19 a{\'u}n no se ha determinado. Este estudio se realiz{\'o} para determinar las tasas de TEPT relacionado con COVID-19 en la poblaci{\'o}n general irlandesa, el nivel de comorbilidad con depresi{\'o}n y ansiedad, y los factores de riesgo sociodemogr{\'a}ficos asociados con el TEPT relacionado con COVID-19. Una muestra representativa a nivel nacional de adultos de la poblaci{\'o}n general de la Rep{\'u}blica de Irlanda ( N = 1,041) complet{\'o} medidas de autoinforme de todas las variables del estudio. La tasa de TEPT relacionado con COVID-19 fue del 17.7\% ( n = 184), IC del 95\% [15.35\%, 19.99\%] y hubo un alto nivel de comorbilidad con ansiedad generalizada (49.5\%) y depresi{\'o}n (53.8\%). Cumplir con el requisito de diagn{\'o}stico para el TEPT relacionado con COVID-19 se asoci{\'o} con una edad m{\'a}s joven, sexo masculino, vivir en una ciudad, vivir con ni{\~n}os, riesgo percibido moderado y alto de infecci{\'o}n por COVID-19 y detecci{\'o}n positiva de ansiedad o depresi{\'o}n. Los s{\'i}ntomas de estr{\'e}s postraum{\'a}tico relacionados con la pandemia de COVID-19 son comunes en la poblaci{\'o}n general. Nuestros resultados muestran que los profesionales de la salud responsables de responder a la pandemia de COVID-19 deben esperar encontrar de forma rutinaria s{\'i}ntomas y preocupaciones relacionados con el estr{\'e}s postraum{\'a}tico. , 抽象 Traditional and Simplified Chinese Abstracts by the Asian Society for Traumatic Stress Studies (AsianSTSS) 簡體及繁體中文撮要由亞洲創傷心理研究學會翻譯 Posttraumatic stress problems during the COVID-19 pandemic in Ireland Traditional Chinese 標題: 在COVID-19疫情下, 愛爾蘭的創傷後壓力問題 撮要: 跟個人的2019冠狀病毒病(COVID-19)疫情體驗相關的創傷後壓力症(PTSD), 其患病率仍有待研究。本研究旨在找出愛爾蘭普遍人口當中, COVID-19相關的PTSD的患病率、抑鬱症及焦慮症共病的水平, 以及跟COVID-19相關PTSD有關的社會人口風險因素。樣本由愛爾蘭共和國的成人普遍人口組成 (N = 1,041), 具全國代表性。他們完成了對所有研究變量的自評測量。COVID-19相關的PTSD的患病率為17.7\% (n =184) (95\% CI [15.35\%, 19.99\%]), 廣泛性焦慮症(49.5\%)及抑鬱症(53.8\%)的共病水平為高。符合患COVID-19相關的PTSD, 跟以下因素有關:年齡較小、性別為男性、住在市區、與小孩同住、對於染上COVID-19的感知風險為中至高, 及焦慮症及抑鬱症篩檢結果為陽性。普遍人口當中, 與COVID-19疫情相關的創傷後壓力症狀普遍。我們的結果反映, 負責應對COVID-19疫情的醫療人員應預期會時常遇到人士有創傷後壓力相關的症狀及問題。 Simplified Chinese 标题: 在COVID-19疫情下, 爱尔兰的创伤后压力问题 撮要: 跟个人的2019冠状病毒病(COVID-19)疫情体验相关的创伤后压力症(PTSD), 其患病率仍有待研究。本研究旨在找出爱尔兰普遍人口当中, COVID-19相关的PTSD的患病率、抑郁症及焦虑症共病的水平, 以及跟COVID-19相关PTSD有关的社会人口风险因素。样本由爱尔兰共和国的成人普遍人口组成 (N = 1,041), 具全国代表性。他们完成了对所有研究变量的自评测量。COVID-19相关的PTSD的患病率为17.7\% (n =184) (95\% CI [15.35\%, 19.99\%]), 广泛性焦虑症(49.5\%)及抑郁症(53.8\%)的共病水平为高。符合患COVID-19相关的PTSD, 跟以下因素有关:年龄较小、性别为男性、住在市区、与小孩同住、对于染上COVID-19的感知风险为中至高, 及焦虑症及抑郁症筛检结果为阳性。普遍人口当中, 与COVID-19疫情相关的创伤后压力症状普遍。我们的结果反映, 负责应对COVID-19疫情的医疗人员应预期会时常遇到人士有创伤后压力相关的症状及问题。}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Karim2020, @@ -6357,7 +6619,8 @@ issn = {0305750X}, doi = {10.1016/j.worlddev.2020.105123}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Kasinitz1996, @@ -6372,7 +6635,8 @@ pages = {180--196}, issn = {00377791, 15338533}, doi = {10.2307/3096997}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{Kaya2016, @@ -6417,7 +6681,8 @@ issn = {01676296}, doi = {10.1016/j.jhealeco.2015.01.003}, urldate = {2023-11-24}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Keeley1978, @@ -6432,7 +6697,8 @@ pages = {3}, issn = {0022166X}, doi = {10.2307/145299}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{Keeley1979, @@ -6447,7 +6713,8 @@ issn = {0577-5132, 1558-1489}, doi = {10.1080/05775132.1979.11470502}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Keeley1980, @@ -6462,7 +6729,8 @@ pages = {695}, issn = {0022166X}, doi = {10.2307/145408}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{Keeley1980a, @@ -6477,7 +6745,8 @@ pages = {675}, issn = {0022166X}, doi = {10.2307/145407}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{Keeley1987, @@ -6494,7 +6763,8 @@ pages = {241}, issn = {00206598}, doi = {10.2307/2526870}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{Kehrer1979, @@ -6510,7 +6780,8 @@ pages = {434}, issn = {0022166X}, doi = {10.2307/145316}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{Kerachsky1977, @@ -6525,7 +6796,8 @@ issn = {0002-9092, 1467-8276}, doi = {10.2307/1239851}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Kershaw1972, @@ -6539,7 +6811,8 @@ pages = {19--25}, issn = {0036-8733}, doi = {10.1038/scientificamerican1072-19}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{Kgel2004, @@ -6596,7 +6869,8 @@ issn = {07380593}, doi = {10.1016/j.ijedudev.2022.102645}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Kim2002, @@ -6626,7 +6900,8 @@ issn = {1011-8934, 1598-6357}, doi = {10.3346/jkms.2021.36.e184}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Kingdon2001, @@ -6641,7 +6916,9 @@ issn = {0964-5292, 1469-5782}, doi = {10.1080/09645290110056994}, urldate = {2023-11-24}, - langid = {english} + abstract = {In this paper, we pose the question: to what extent is education responsible for the differential labour market outcomes of women and men in urban India? In particular, we investigate the extent to which education contributes to women's observed lower labour force participation and earnings than men, and whether any contribution of education to the gender wage differential is explained by men and women's differential educational endowments or by labour market discrimination. Our findings suggest that women do suffer high levels of wage discrimination in the Indian urban labour market, but that education contributes little to this discrimination: the wage-disadvantage effect of women's lower years of education than men is entirely offset by the wage-advantage effect of women's higher returns to education than men's. The data also indicate that, for both men and women, returns to education rise with education level, confirming the findings of other recent educational rate of return studies in India and elsewhere.}, + langid = {english}, + keywords = {cite::channels,country::India,inequality::education,inequality::gender,out::abstract,region::AP} } @article{Kithiia2020, @@ -6656,7 +6933,9 @@ issn = {23523409}, doi = {10.1016/j.dib.2020.106317}, urldate = {2023-11-20}, - langid = {english} + abstract = {The novel corona virus disease (Covid-19) outbreak has caused great uncertainty in all spheres of human life. The experience has been incredibly humbling given that no country or section of society, regardless of its wealth or status, has been spared. The pandemic is not only a health crisis, but is also having serious damaging effects on societies, economies and vulnerable groups. Timely response is necessary in order to alleviate human suffering and to prevent irreversible destruction of livelihoods. This paper provides preliminary data on the socio-economic impacts of Covid-19 in the coastal city of Mombasa, Kenya, at the time of government-imposed curfews and cessation of movement. We conducted online surveys for two weeks during the restrictions period. The data was collected using online questionnaires directed at the city residents. The data highlights the mobile gender gap resulting from gender inequalities, residents' reliance on the government for Covid-19 information but lack of trust for government interventions, inadequate provisions of essential services, and the residents' lack of preparedness to tackle similar challenges in the future.}, + langid = {english}, + keywords = {out::title} } @article{Klasen2012, @@ -6700,7 +6979,8 @@ doi = {10.1177/0971521517738432}, urldate = {2023-11-24}, abstract = {Worldwide studies of professional and managerial dual-earner couples in specific professions have indicated that with the double burdens of work and family, working long hours limit women's career aspirations. Based on in-depth, semi-structured interviews with 40 respondents, this article examines how long working hours in the banking and health sectors impact professional and managerial mothers' family life and health, and how the latter perceive motherhood roles. Though there was evidence of negative effects of long hours especially on childcare and children's cognitive development, while rationalising their decision on combining motherhood and paid work, mothers interviewed valued their full-time employment.}, - langid = {english} + langid = {english}, + keywords = {cite::channels,country::Sri\_Lanka,inequality::gender,inequality::generational,method::qualitative,out::abstract,region::AP} } @article{Koeneman2012, @@ -6750,7 +7030,8 @@ doi = {10.1186/s12978-021-01070-6}, urldate = {2023-11-20}, abstract = {Abstract Introduction The Covid-19 pandemic affects maternal health both directly and indirectly, and direct and indirect effects are intertwined. To provide a comprehensive overview on this broad topic in a rapid format behooving an emergent pandemic we conducted a scoping review. Methods A scoping review was conducted to compile evidence on direct and indirect impacts of the pandemic on maternal health and provide an overview of the most significant outcomes thus far. Working papers and news articles were considered appropriate evidence along with peer-reviewed publications in order to capture rapidly evolving updates. Literature in English published from January 1st to September 11 2020 was included if it pertained to the direct or indirect effects of the COVID-19 pandemic on the physical, mental, economic, or social health and wellbeing of pregnant people. Narrative descriptions were written about subject areas for which the authors found the most evidence. Results The search yielded 396 publications, of which 95 were included. Pregnant individuals were found to be at a heightened risk of more severe symptoms than people who are not pregnant. Intrauterine, vertical, and breastmilk transmission were unlikely. Labor, delivery, and breastfeeding guidelines for COVID-19 positive patients varied. Severe increases in maternal mental health issues, such as clinically relevant anxiety and depression, were reported. Domestic violence appeared to spike. Prenatal care visits decreased, healthcare infrastructure was strained, and potentially harmful policies implemented with little evidence. Women were more likely to lose their income due to the pandemic than men, and working mothers struggled with increased childcare demands. Conclusion Pregnant women and mothers were not found to be at higher risk for COVID-19 infection than people who are not pregnant, however pregnant people with symptomatic COVID-19 may experience more adverse outcomes compared to non-pregnant people and seem to face disproportionate adverse socio-economic consequences. High income and low- and middle-income countries alike faced significant struggles. Further resources should be directed towards quality epidemiological studies. Plain English summary The Covid-19 pandemic impacts reproductive and perinatal health both directly through infection itself but also indirectly as a consequence of changes in health care, social policy, or social and economic circumstances. The direct and indirect consequences of COVID-19 on maternal health are intertwined. To provide a comprehensive overview on this broad topic we conducted a scoping review. Pregnant women who have symptomatic COVID-19 may experience more severe outcomes than people who are not pregnant. Intrauterine and breastmilk transmission, and the passage of the virus from mother to baby during delivery are unlikely. The guidelines for labor, delivery, and breastfeeding for COVID-19 positive patients vary, and this variability could create uncertainty and unnecessary harm. Prenatal care visits decreased, healthcare infrastructure was strained, and potentially harmful policies are implemented with little evidence in high and low/middle income countries. The social and economic impact of COVID-19 on maternal health is marked. A high frequency of maternal mental health problems, such as clinically relevant anxiety and depression, during the epidemic are reported in many countries. This likely reflects an increase in problems, but studies demonstrating a true change are lacking. Domestic violence appeared to spike. Women were more vulnerable to losing their income due to the pandemic than men, and working mothers struggled with increased childcare demands. We make several recommendations: more resources should be directed to epidemiological studies, health and social services for pregnant women and mothers should not be diminished, and more focus on maternal mental health during the epidemic is needed.}, - langid = {english} + langid = {english}, + keywords = {out::title,review::scoping} } @article{Kowal2020, @@ -6767,7 +7048,8 @@ doi = {10.1111/aphw.12234}, urldate = {2023-11-20}, abstract = {Background To limit the rapid spread of COVID-19, countries have asked their citizens to stay at home. As a result, demographic and cultural factors related to home life have become especially relevant to predict population well-being during isolation. This pre-registered worldwide study analyses the relationship between the number of adults and children in a household, marital status, age, gender, education level, COVID-19 severity, individualism{\textendash}collectivism, and perceived stress. Methods We used the COVIDiSTRESS Global Survey data of 53,524 online participants from 26 countries and areas. The data were collected between 30 March and 6 April 2020. Results Higher levels of stress were associated with younger age, being a woman, lower level of education, being single, staying with more children, and living in a country or area with a more severe COVID-19 situation. Conclusions The COVID-19 pandemic revealed that certain people may be more susceptible to experience elevated levels of stress. Our findings highlight the need for public health to be attentive to both the physical and the psychological well-being of these groups.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Kulkarni2011, @@ -6798,7 +7080,8 @@ issn = {2214109X}, doi = {10.1016/S2214-109X(20)30319-3}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Laaksonen2012, @@ -6846,7 +7129,9 @@ issn = {01406736}, doi = {10.1016/S0140-6736(15)60497-4}, urldate = {2023-11-24}, - langid = {english} + abstract = {Girls' and women's health is in transition and, although some aspects of it have improved substantially in the past few decades, there are still important unmet needs. Population ageing and transformations in the social determinants of health have increased the coexistence of disease burdens related to reproductive health, nutrition, and infections, and the emerging epidemic of chronic and non-communicable diseases (NCDs). Simultaneously, worldwide priorities in women's health have themselves been changing from a narrow focus on maternal and child health to the broader framework of sexual and reproductive health and to the encompassing concept of women's health, which is founded on a life-course approach. This expanded vision incorporates health challenges that affect women beyond their reproductive years and those that they share with men, but with manifestations and results that affect women disproportionally owing to biological, gender, and other social determinants.}, + langid = {english}, + keywords = {inequality::gender,inequality::health,out::abstract} } @article{Larson2016, @@ -6877,7 +7162,8 @@ issn = {1354-8506, 1465-3966}, doi = {10.1080/13548506.2020.1865548}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Lee2005, @@ -6907,7 +7193,12 @@ issn = {0143-005X, 1470-2738}, doi = {10.1136/jech-2015-205719}, urldate = {2023-11-24}, - langid = {english} + abstract = {Abstract Background With an ageing society and increasing retirement ages, it is important to understand how employability can be promoted in older workers with health problems. The current study aimed to determine whether (1) different chronic health problems predict transitions from paid employment to disability benefits, unemployment and early retirement, and (2) how work-related factors modify these associations. Methods Self-report questionnaire data was used from the Dutch longitudinal Study on Transitions in Employment, Ability and Motivation with 3\hspace{0.25em}years of follow-up (2010{\textendash}2013), among employees aged 45{\textendash}64\hspace{0.25em}years (N=8149). The influence of baseline chronic health problems and work-related factors on transitions from paid employment to disability benefits, unemployment and early retirement during follow-up was estimated in a competing risks proportional hazards model. Relative excess risk of transitions due to the interaction between chronic health problems and work-related factors was assessed. Results Severe headache, diabetes mellitus and musculoskeletal, respiratory, digestive and psychological health problems predicted an increased risk of disability benefits (HR range 1.78{\textendash}2.79). Circulatory (HR=1.35) and psychological health problems (HR=2.58) predicted unemployment, and musculoskeletal (HR=1.23) and psychological health problems (HR=1.57) predicted early retirement. Work-related factors did not modify the influence of health problems on unemployment or early retirement. Psychosocial work-related factors, especially autonomy, modified the influence of health problems on disability benefits. Specifically, among workers with health problems, higher autonomy, higher support and lower psychological job demands reduced the risk of disability benefits by 82\%, 49\%, and 11\%, respectively. Conclusions All health problems affected disability benefits to a similar extent, but psychological health problems especially predicted unemployment and early retirement. For older workers with health problems, promoting an optimal work environment has the potential to contribute to sustainable employment.}, + langid = {english}, + keywords = {cite::channels,inequality::age,inequality::health,inequality::income,out::abstract}, + note = {does not fall into PI; +\par +however data will be very useful to explore channels of health ineq -{$>$} income ineq} } @article{Lein2005, @@ -6938,7 +7229,8 @@ issn = {1678-4464, 0102-311X}, doi = {10.1590/0102-311x00174818}, urldate = {2023-11-24}, - abstract = {Intimate partner violence (IPV) is a worldwide public health problem. Many proposals aiming to eliminate its occurrence include the empowerment of women through their socio-economic development. In this context, some studies suggested that microcredit programs (MP) and cash transfer programs (CTP) are initiatives that can also reduce the risk of IPV. Others pointed to an opposite effect. The objective of this study was to investigate the influence of women's economic empowerment in MP and CTP on the risk of physical, psychological and sexual violence through a systematic review. Papers/documents selection was conducted by two researchers according to the following criteria: published in English, Portuguese or Spanish; primary data; assessing the effect of MP or CTP on IPV; in heterosexual couples; on women beneficiaries of the intervention; using a comparator group eligible for an MP or CTP; and focusing on risk IPV as the outcomes. Our results showed that the impact of MP are mixed when it comes to physical and physical/sexual violence. Even so, the review suggests that the effect of MP on sexual violence is trivial or nonexistent. Regarding the impact of CTPs, the present study showed that the effects on physical, physical/sexual, psychological, and sexual violence were also heterogeneous. Women more empowered and with some autonomy could be at risk. Despite that, participation in the empowerment program should be encouraged for poor women and families. However, parallel interventions to lead with IPV should be addressed to the main actions to reduce the risk of increasing IPV prevalence in certain scenarios. , La violencia dom{\'e}stica (VPI por sus siglas en portugu{\'e}s) es un problema de salud p{\'u}blica en todo el mundo. Las propuestas para eliminarla incluyen el empoderamiento de las mujeres a trav{\'e}s de su desarrollo socioecon{\'o}mico. Algunos estudios sugieren que los programas de microcr{\'e}dito (PMCs) y de transferencia de renta (PTRs) son iniciativas capaces de reducir el riesgo de VPI. Otros estudios indican un efecto contrario. Bas{\'a}ndonos en una revisi{\'o}n sistem{\'a}tica, el estudio procur{\'o} investigar la influencia del empoderamiento econ{\'o}mico de las mujeres, a trav{\'e}s de PMCs y PTRs, sobre el riesgo de violencia f{\'i}sica, psicol{\'o}gica y sexual. Los art{\'i}culos y documentos fueron seleccionados por dos investigadores, de acuerdo con los siguientes criterios: estudios publicados en ingl{\'e}s, portugu{\'e}s o espa{\~n}ol; datos primarios; evaluaci{\'o}n del efecto del PMC o PTR sobre la VPI; parejas heterosexuales; mujeres beneficiarias de la intervenci{\'o}n; un grupo de comparaci{\'o}n elegible para un PMC o PTR y centrados en el riesgo de VPI como desenlace. De acuerdo con nuestros resultados, el impacto de los PMCs es mixto en lo que se refiere a la violencia f{\'i}sica y f{\'i}sica/sexual. No obstante, la revisi{\'o}n sugiere que el efecto de los PMCs sobre la violencia sexual es trivial o inexistente. En relaci{\'o}n con el impacto de los PTRs, el estudio mostr{\'o} que los efectos sobre la violencia f{\'i}sica, f{\'i}sica/sexual, psicol{\'o}gica y sexual tambi{\'e}n son heterog{\'e}neos. Las mujeres m{\'a}s empoderadas y con alguna autonom{\'i}a podr{\'i}an estar en riesgo. Sin embargo, la participaci{\'o}n en el programa de empoderamiento debe incentivarse en el caso de las mujeres y familias pobres. Las intervenciones paralelas para combatir VPI deben dar prioridad a medidas para reducir el riesgo de aumento de la prevalencia de esta violencia en determinados contextos. , A viol{\^e}ncia entre parceiros {\'i}ntimos (VPI) {\'e} um problema de sa{\'u}de p{\'u}blica de alcance global. Muitas propostas para eliminar a VPI incluem o empoderamento das mulheres atrav{\'e}s do desenvolvimento socioecon{\^o}mico individual. Nesse contexto, alguns estudos sugerem que programas de microcr{\'e}dito (PMC) e de transfer{\^e}ncia de renda (PTR) tamb{\'e}m podem reduzir o risco de VPI, enquanto outros apontam para um efeito oposto. Atrav{\'e}s de uma revis{\~a}o sistem{\'a}tica, este estudo teve como objetivo investigar a influ{\^e}ncia do empoderamento econ{\^o}mico das mulheres atrav{\'e}s de PMCs e PTRs sobre o risco de viol{\^e}ncia f{\'i}sica, psicol{\'o}gica e sexual. A sele{\c c}{\~a}o de artigos e documentos foi realizada por dois pesquisadores, com base nos seguintes crit{\'e}rios: publica{\c c}{\~a}o em ingl{\^e}s, portugu{\^e}s ou espanhol; dados prim{\'a}rios; avalia{\c c}{\~a}o do efeito de PMC ou PTR sobre VPI; casais heterossexuais; mulheres benefici{\'a}rias da interven{\c c}{\~a}o; uso de um grupo de compara{\c c}{\~a}o eleg{\'i}vel para um PMC ou PTR e foco sobre o risco de VPI como o desfecho. Nossos resultados mostraram que o impacto dos PMCs {\'e} misto no que diz respeito {\`a} viol{\^e}ncia f{\'i}sica e f{\'i}sica/sexual. Contanto, a revis{\~a}o sugere que o efeito dos PMCs sobre a viol{\^e}ncia sexual {\'e} trivial ou inexistente. Quanto ao impacto dos PTRs, o estudo mostrou que os efeitos sobre a viol{\^e}ncia f{\'i}sica, f{\'i}sica/sexual, psicol{\'o}gica e sexual tamb{\'e}m foram heterog{\^e}neos. As mulheres mais empoderadas e com alguma autonomia poderiam estar em risco maior. Entretanto, a participa{\c c}{\~a}o no programa de empoderamento deve ser incentivada para as mulheres e fam{\'i}lias pobres. Interven{\c c}{\~o}es paralelas para l{\'i}der com a VPI devem focar nas principais medidas para reduzir o risco de aumento de preval{\^e}ncia de VPI em determinados cen{\'a}rios.} + abstract = {Intimate partner violence (IPV) is a worldwide public health problem. Many proposals aiming to eliminate its occurrence include the empowerment of women through their socio-economic development. In this context, some studies suggested that microcredit programs (MP) and cash transfer programs (CTP) are initiatives that can also reduce the risk of IPV. Others pointed to an opposite effect. The objective of this study was to investigate the influence of women's economic empowerment in MP and CTP on the risk of physical, psychological and sexual violence through a systematic review. Papers/documents selection was conducted by two researchers according to the following criteria: published in English, Portuguese or Spanish; primary data; assessing the effect of MP or CTP on IPV; in heterosexual couples; on women beneficiaries of the intervention; using a comparator group eligible for an MP or CTP; and focusing on risk IPV as the outcomes. Our results showed that the impact of MP are mixed when it comes to physical and physical/sexual violence. Even so, the review suggests that the effect of MP on sexual violence is trivial or nonexistent. Regarding the impact of CTPs, the present study showed that the effects on physical, physical/sexual, psychological, and sexual violence were also heterogeneous. Women more empowered and with some autonomy could be at risk. Despite that, participation in the empowerment program should be encouraged for poor women and families. However, parallel interventions to lead with IPV should be addressed to the main actions to reduce the risk of increasing IPV prevalence in certain scenarios. , La violencia dom{\'e}stica (VPI por sus siglas en portugu{\'e}s) es un problema de salud p{\'u}blica en todo el mundo. Las propuestas para eliminarla incluyen el empoderamiento de las mujeres a trav{\'e}s de su desarrollo socioecon{\'o}mico. Algunos estudios sugieren que los programas de microcr{\'e}dito (PMCs) y de transferencia de renta (PTRs) son iniciativas capaces de reducir el riesgo de VPI. Otros estudios indican un efecto contrario. Bas{\'a}ndonos en una revisi{\'o}n sistem{\'a}tica, el estudio procur{\'o} investigar la influencia del empoderamiento econ{\'o}mico de las mujeres, a trav{\'e}s de PMCs y PTRs, sobre el riesgo de violencia f{\'i}sica, psicol{\'o}gica y sexual. Los art{\'i}culos y documentos fueron seleccionados por dos investigadores, de acuerdo con los siguientes criterios: estudios publicados en ingl{\'e}s, portugu{\'e}s o espa{\~n}ol; datos primarios; evaluaci{\'o}n del efecto del PMC o PTR sobre la VPI; parejas heterosexuales; mujeres beneficiarias de la intervenci{\'o}n; un grupo de comparaci{\'o}n elegible para un PMC o PTR y centrados en el riesgo de VPI como desenlace. De acuerdo con nuestros resultados, el impacto de los PMCs es mixto en lo que se refiere a la violencia f{\'i}sica y f{\'i}sica/sexual. No obstante, la revisi{\'o}n sugiere que el efecto de los PMCs sobre la violencia sexual es trivial o inexistente. En relaci{\'o}n con el impacto de los PTRs, el estudio mostr{\'o} que los efectos sobre la violencia f{\'i}sica, f{\'i}sica/sexual, psicol{\'o}gica y sexual tambi{\'e}n son heterog{\'e}neos. Las mujeres m{\'a}s empoderadas y con alguna autonom{\'i}a podr{\'i}an estar en riesgo. Sin embargo, la participaci{\'o}n en el programa de empoderamiento debe incentivarse en el caso de las mujeres y familias pobres. Las intervenciones paralelas para combatir VPI deben dar prioridad a medidas para reducir el riesgo de aumento de la prevalencia de esta violencia en determinados contextos. , A viol{\^e}ncia entre parceiros {\'i}ntimos (VPI) {\'e} um problema de sa{\'u}de p{\'u}blica de alcance global. Muitas propostas para eliminar a VPI incluem o empoderamento das mulheres atrav{\'e}s do desenvolvimento socioecon{\^o}mico individual. Nesse contexto, alguns estudos sugerem que programas de microcr{\'e}dito (PMC) e de transfer{\^e}ncia de renda (PTR) tamb{\'e}m podem reduzir o risco de VPI, enquanto outros apontam para um efeito oposto. Atrav{\'e}s de uma revis{\~a}o sistem{\'a}tica, este estudo teve como objetivo investigar a influ{\^e}ncia do empoderamento econ{\^o}mico das mulheres atrav{\'e}s de PMCs e PTRs sobre o risco de viol{\^e}ncia f{\'i}sica, psicol{\'o}gica e sexual. A sele{\c c}{\~a}o de artigos e documentos foi realizada por dois pesquisadores, com base nos seguintes crit{\'e}rios: publica{\c c}{\~a}o em ingl{\^e}s, portugu{\^e}s ou espanhol; dados prim{\'a}rios; avalia{\c c}{\~a}o do efeito de PMC ou PTR sobre VPI; casais heterossexuais; mulheres benefici{\'a}rias da interven{\c c}{\~a}o; uso de um grupo de compara{\c c}{\~a}o eleg{\'i}vel para um PMC ou PTR e foco sobre o risco de VPI como o desfecho. Nossos resultados mostraram que o impacto dos PMCs {\'e} misto no que diz respeito {\`a} viol{\^e}ncia f{\'i}sica e f{\'i}sica/sexual. Contanto, a revis{\~a}o sugere que o efeito dos PMCs sobre a viol{\^e}ncia sexual {\'e} trivial ou inexistente. Quanto ao impacto dos PTRs, o estudo mostrou que os efeitos sobre a viol{\^e}ncia f{\'i}sica, f{\'i}sica/sexual, psicol{\'o}gica e sexual tamb{\'e}m foram heterog{\^e}neos. As mulheres mais empoderadas e com alguma autonomia poderiam estar em risco maior. Entretanto, a participa{\c c}{\~a}o no programa de empoderamento deve ser incentivada para as mulheres e fam{\'i}lias pobres. Interven{\c c}{\~o}es paralelas para l{\'i}der com a VPI devem focar nas principais medidas para reduzir o risco de aumento de preval{\^e}ncia de VPI em determinados cen{\'a}rios.}, + keywords = {inequality::gender,inequality::income,out::title,review::systematic} } @article{Leslie2020, @@ -6953,7 +7245,8 @@ issn = {00472727}, doi = {10.1016/j.jpubeco.2020.104241}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Levine1994, @@ -6969,7 +7262,8 @@ doi = {10.1177/001440299506100307}, urldate = {2023-11-24}, abstract = {This study analyzed gender differences in postschool outcomes for youth with learning disabilities, mild mental retardation, and no disabilities. Data were collected on two cohorts of graduates (549 youth who were graduated in 1985; 398 youth, in 1990) from three school districts. Data were collected at 1, 2, 6, and 7 years postgraduation. Comparisons were made between genders within disability groups on employment, postsecondary education attendance and graduation, engagement, independent living, marital status, and parenting. In contrast to the findings of other studies, few significant differences were noted between genders, except for the parenting category. A similar analysis between youth by disability category resulted in considerably more significant differences.}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Liberati2009, @@ -7001,7 +7295,8 @@ doi = {10.1038/s41562-022-01350-6}, urldate = {2023-11-20}, abstract = {Abstract The transition to remote learning in the context of coronavirus disease 2019 (COVID-19) might have led to dramatic setbacks in education. Taking advantage of the fact that S{\~a}o Paulo State featured in-person classes for most of the first school quarter of 2020 but not thereafter, we estimate the effects of remote learning in secondary education using a differences-in-differences strategy that contrasts variation in students' outcomes across different school quarters, before and during the pandemic. We also estimate intention-to-treat effects of reopening schools in the pandemic through a triple-differences strategy, contrasting changes in educational outcomes across municipalities and grades that resumed in-person classes or not over the last school quarter in 2020. We find that, under remote learning, dropout risk increased by 365\% while test scores decreased by 0.32 s.d., as if students had only learned 27.5\% of the in-person equivalent. Partially resuming in-person classes increased test scores by 20\% relative to the control group.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Lin2013, @@ -7098,7 +7393,8 @@ unique-id = {WOS:000351435700007}, usage-count-last-180-days = {1}, usage-count-since-2013 = {39}, - web-of-science-categories = {Rehabilitation} + web-of-science-categories = {Rehabilitation}, + keywords = {out::abstract} } @article{Lindstrom2002, @@ -7156,7 +7452,8 @@ unique-id = {WOS:000292075300004}, usage-count-last-180-days = {0}, usage-count-since-2013 = {23}, - web-of-science-categories = {Education, Special; Rehabilitation} + web-of-science-categories = {Education, Special; Rehabilitation}, + keywords = {TODO::abstract} } @article{Lindstrom2012, @@ -7200,7 +7497,8 @@ issn = {0098-7484}, doi = {10.1001/jama.2020.4344}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Lock2005, @@ -7290,7 +7588,8 @@ issn = {02779536}, doi = {10.1016/S0277-9536(96)00073-1}, urldate = {2023-11-24}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Mackenzie2006, @@ -7323,7 +7622,8 @@ pages = {947}, issn = {00222445}, doi = {10.2307/354015}, - urldate = {2023-11-24} + urldate = {2023-11-24}, + keywords = {issue::age,out::year} } @article{Mahmood2022, @@ -7339,7 +7639,8 @@ doi = {10.1177/17455057221087888}, urldate = {2023-11-20}, abstract = {Introduction: COVID-19 pandemic induced lockdown as prevention and control measure, forced people globally to limit their movements and to stay at home for extended period of time. The objective of this study was to analyze the impact of lockdown on intimate partner violence in Bangladesh. Methods: We conducted a secondary research by employing a Poisson regression model to estimate the effect of pandemic-led lockdown policy on the change in the number of intimate partner violence-related calls during pandemic using national emergency helpline 999 call logs. Data from January 2019 to May 2020 for 64 districts produced 1088 district-month-year observations which had been used for the main analysis. Results: We found a 46\% decrease in the incidence rate of intimate partner violence-related calls during the pandemic after adjusting for year, month, district fixed-effects{\textemdash}suggesting, non-reporting of the violence might have exacerbated during lockdown. Conclusion: While increasing rate of intimate partner violence is one side of issue, non-reporting of it has received less attention and during the lockdown non-reporting might grow large and have severe health impacts for women.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Maji2022, @@ -7356,7 +7657,8 @@ doi = {10.1002/casp.2501}, urldate = {2023-11-20}, abstract = {Abstract Domestic violence is one of the most pernicious gendered ailments of human society. Researchers have confirmed the inevitable consequences of domestic violence (physical, sexual, and emotional) in increased vulnerability to psychopathologies in addition to physical morbidity. Domestic violence cases are vast in India, and the numbers are further aggravated at an alarming rate during the COVID-19 pandemic. The present study aimed at exploring the cases of domestic violence among Indian women during the COVID-19 pandemic. Newspapers reporting the incidents of domestic violence during the last 5\,years were analysed to explore the issues related to the surge in domestic violence incidents during the COVID-19 lockdown period. A major increase in domestic violence cases was observed during the COVID-19 period as compared to the previous years. Also, the cases were higher during the initial phases of the pandemic but gradually decreased as time progressed.The impact of the COVID-19 pandemic on women was unprecedented and worse than before. Home containment as a measure to protect the health and well-being of the general public has resulted in increased sufferings for women in terms of both sufferings from diseases and increased domestic violence.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Malek2021, @@ -7368,7 +7670,9 @@ issn = {1556-5068}, doi = {10.2139/ssrn.3912353}, urldate = {2023-11-20}, - langid = {english} + abstract = {We offer a comprehensive picture of the rural economy in Bangladesh during the first three months of the lockdown period in comparison with the pre-COVID-19 situation. Using a nationally representative sample (of 2,312 rural households from 62 villages in 56 districts) known as the Mahbub Hossain Survey sample, we conducted a telephone survey in June 2020. Our descriptive and regression analyses suggest that, during the survey period, the rural economy experienced several adverse impacts from the containment measures, such as a delayed harvest, difficulty in selling farm produce, labor and material input disruptions and cost increases, and reductions in remittance receipts and non-farm business sales. Rural households had to reduce their food consumption and receive food support from the government and cash support from the private sector. Vulnerability was especially apparent in households with a head who was female, less educated, young, or casual labor. Livelihoods varied significantly among geographic areas according to the concentration of the infection and less significantly according to the stringency of the lockdown measures. We also found that rural households preferred cash or product support, rural work or employment support, and cash assistance or soft loans for farm inputs and business inputs at the time of the survey.}, + langid = {english}, + keywords = {inequality::spatial,out::abstract} } @article{Mammen2000a, @@ -7384,7 +7688,8 @@ doi = {10.1257/jep.14.4.141}, urldate = {2023-11-24}, abstract = {Using a cross-country dataset and microdata from India and Thailand, we examine how women's work status changes with economic development. Several clear patterns emerge: women's labor force participation first declines and then rises with development; women move from work in family enterprises to work as paid employees; fertility declines; and gender gaps in education narrow. Women's education levels, and those of their spouses, appear to be important determinants of women's labor market activities. Broad welfare indicators, such as mortality rates and education levels, indicate that women's well-being improves on average with development, both in absolute terms and relative to men.}, - langid = {english} + langid = {english}, + keywords = {cite::channels,country::India,country::Thailand,inequality::gender,out::abstract,region::AP} } @article{Mamun2021, @@ -7399,7 +7704,8 @@ issn = {1179-1594}, doi = {10.2147/RMHP.S330282}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Mamun2023, @@ -7415,7 +7721,8 @@ issn = {1557-1874, 1557-1882}, doi = {10.1007/s11469-020-00362-5}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Mangiavacchi2021, @@ -7430,7 +7737,8 @@ issn = {1570677X}, doi = {10.1016/j.ehb.2021.101016}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Manjengwa2016, @@ -7462,7 +7770,8 @@ doi = {10.1080/00420980120061034}, urldate = {2023-11-20}, abstract = {Proponents of the spatial mismatch hypothesis argue that job decentralisation harms low-income residents of central cities because of barriers that limit their access to suburban labour markets. Such barriers can take the form of housing discrimination, exclusionary zoning or long and difficult commutes. This paper uses an urban equilibrium model of spatial mismatch to analyse the impact of commuting subsidies on the welfare of low-income, central-city households with restricted mobility. Specifically, it seeks to determine how effective such subsidies are at reducing the welfare impact of spatial mismatch. While subsidised outward commuting is found to raise the welfare of the low-income households, the welfare gains are only a small portion of the welfare loss due to spatial mismatch.}, - langid = {english} + langid = {english}, + keywords = {inequality::spatial,relevant,TODO::full-text,type::subsidy} } @incollection{Martin2016, @@ -7521,7 +7830,8 @@ issn = {22133984}, doi = {10.1016/j.cegh.2020.100693}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Mauri2006, @@ -7567,7 +7877,8 @@ pages = {463}, issn = {0022166X}, doi = {10.2307/145317}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{Mberu2014, @@ -7583,7 +7894,12 @@ issn = {10176772}, doi = {10.1111/1467-8268.12073}, urldate = {2023-11-20}, - langid = {english} + abstract = {We examine the patterns and determinants of household transitions into and out of poverty among the urban poor in two Nairobi informal settlements in Kenya between 2006 and 2009. We find worsening household poverty over time, with the proportion of poor households increasing from 51.2 percent in 2006 to 54.9 percent by the end of 2009. Over the period, 34.5 percent of households remained in chronic poverty, 20.4 percent fell into poverty, 16.7 percent successfully escaped poverty and 28.4 percent fully remained out of poverty. We identify slum of residence, gender and marital status of household head, attainment of at least secondary education by household head, consistent engagement in formal employment, household size and the incidence of births within a household, among key determinants of household poverty transitions. Our results underscore the need for anti-poverty policy options around provision of economic opportunities, addressing disadvantages of female-headed households, promoting access to at least secondary education, smaller household norms and birth control among the urban poor. While the outcomes are consistent with some national trends, the need for the design and implementation of slum and sub-group specific anti-poverty policies are significantly evident.}, + langid = {english}, + keywords = {cite::channels,country::Kenya,inequality::income,inequality::poverty,out::abstract,region::SSA}, + note = {looks at income inequality changes over time; +\par +does NOT look at results of specific policy interventions} } @article{McCrary2021, @@ -7599,7 +7915,8 @@ doi = {10.1093/aler/ahab003}, urldate = {2023-11-20}, abstract = {Abstract We use 911 call records and mobile device location data to study the impact of the coronavirus lockdown on domestic violence. The percent of people at home sharply increased at all hours, and nearly doubled during regular working hours, from 45\% to 85\%. Domestic violence increased 12\% on average and 20\% during working hours. Using neighborhood-level identifiers, we show that the rate of first-time abuse likely increased even more: 16\% on average and 23\% during working hours. Our results contribute to an urgent need to quantify the physical and psychological burdens of prolonged lockdown policies.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{McDonald1979, @@ -7614,7 +7931,8 @@ pages = {488}, issn = {0022166X}, doi = {10.2307/145319}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{McDowell2015, @@ -7630,7 +7948,9 @@ issn = {1053-0487, 1573-3688}, doi = {10.1007/s10926-014-9512-y}, urldate = {2023-11-24}, - langid = {english} + abstract = {Purpose Disability discrimination legislation means that employees with a disability or mental illness are legally entitled to reasonable workplace accommodations that enable them to work effectively and safely. This scoping review aims to investigate the types of workplace accommodations provided for people with mental illness, and their costs and benefits. Methods A literature search was conducted using five electronic databases. Peer reviewed research articles published between 1993 and June 2013 were included in this scoping review and their quality was assessed. Opinion papers, reports, and case descriptions were excluded. Results Nine studies explored workplace accommodations for people with mental illness. The most commonly reported work-related accommodations were flexible scheduling/reduced hours, modified training and supervision, and modified job duties/descriptions. The least common type of accommodation was physical modification to the workplace. For employees with persistent mental illness who were accessing a supported employment agency, the majority of accommodations related to support from the job coach or employment specialist, such as facilitating communication with the employer during hiring or on the job. The quality of the studies varied considerably and the benefits of the accommodations are not yet well documented. There is limited evidence that a larger number of workplace accommodations are associated with longer job tenure. Conclusions Workplace accommodations appear to be important to support employees with mental illness, but more accessible information about how disability discrimination legislation applies to this population is needed. Future research should address the implementation and effectiveness of mental health-related workplace accommodations.}, + langid = {english}, + keywords = {inequality::disability,out::title,review::scoping,TODO::review} } @article{McGahey1986, @@ -7644,7 +7964,8 @@ issn = {0192-3234, 2153-0416}, doi = {10.1086/449124}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{McLafferty1992, @@ -7660,7 +7981,8 @@ pages = {406}, issn = {00130095}, doi = {10.2307/144026}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{McLaughlin2017, @@ -7692,7 +8014,8 @@ issn = {0885-7482, 1573-2851}, doi = {10.1007/s10896-020-00225-6}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {inequality::gender,out::title} } @article{Medin2006, @@ -7723,7 +8046,8 @@ issn = {02779536}, doi = {10.1016/S0277-9536(98)00146-4}, urldate = {2023-11-24}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Mein2003, @@ -7754,7 +8078,9 @@ issn = {1932-6203}, doi = {10.1371/journal.pone.0205523}, urldate = {2023-11-24}, - langid = {english} + abstract = {Teenage pregnancy and child marriage are prevalent in Zambia and are complexly interrelated issues with common causes and effects. The aim of this study was to explore factors in the social and cultural environment shaping young people's sexual behaviour, with specific attention to teenage pregnancy and child marriage in Eastern Zambia. The study was conducted in selected wards in Petauke, Chadiza and Katete districts, using an exploratory mixed-method design including a household survey, focus group discussions and in-depth interviews. The participants included 1,434 young females and males aged 15 to 24, female and male parents and caregivers; grandmothers; traditional leaders; teachers; health and social workers; representatives from youth associations, community-based and non-governmental organizations; and district level policy makers. Qualitative data were analysed using thematic content analysis and NVivo was used to manage the data, while survey data were analysed using Stata. The study revealed a high prevalence rate of teenage pregnancy (48\%) and child marriage (13\%) among young women. The mean age at first pregnancy or fatherhood was lower among female (17) than male respondents (20). A clear interlinkage between teenage pregnancy and child marriage was found, the two issues were mutually reinforcing. While teenage pregnancy appeared both as a cause and consequence of child marriage, marriage was mostly a common response to pregnancy. Early sexual debut, limited knowledge and use of contraception, poverty and limited future perspectives as well as sexual and gender norms were identified as the main causative factors of teenage pregnancy and therefore, child marriage. Based on the findings, a conceptual model to explain the interrelationships between young people's sexual behaviour, teenage pregnancy and child marriage is discussed. To address teenage pregnancy and child marriage in Eastern Zambia, there is a need to look into the realities and needs of young people regarding sex and relationships.}, + langid = {english}, + keywords = {country::Zambia,inequality::age,inequality::gender,out::abstract,region::SSA} } @article{Migliore2012, @@ -7849,7 +8175,8 @@ doi = {10.2807/1560-7917.ES.2020.25.10.2000180}, urldate = {2023-11-20}, abstract = {On 5 February 2020, in Yokohama, Japan, a cruise ship hosting 3,711 people underwent a 2-week quarantine after a former passenger was found with COVID-19 post-disembarking. As at 20 February, 634 persons on board tested positive for the causative virus. We conducted statistical modelling to derive the delay-adjusted asymptomatic proportion of infections, along with the infections' timeline. The estimated asymptomatic proportion was 17.9\% (95\% credible interval (CrI):\,15.5{\textendash}20.2\%). Most infections occurred before the quarantine start.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Moawad2021, @@ -7865,7 +8192,8 @@ doi = {10.1186/s41935-021-00243-5}, urldate = {2023-11-20}, abstract = {Abstract Background Violence against women is a worldwide problem that affects different social and economic classes, and this violence has almost increased with pandemics as the COVID-19 pandemic. The present survey aimed to assess the prevalence of violence against women in Egypt during the COVID-19 pandemic and to identify the relationship between sociodemographic factors and violence exposure. A total of 509 women were recruited using a self-completion e-form questionnaire. Results The prevalence of violence experienced by women was (43.8\%); the most common type was the emotional representing (96.0\%) of exposed women, while sexual violence was the least common (13.5\%). Violence exposure was affected significantly by residence governorates, husbands' working status, reduced husbands' working hours, and history of violence exposure. Conclusions Violence against women in Egypt was increased during the COVID-19 pandemic, which raises the need for a strong and urgent anti-violence program to control this problem.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Moffitt1979, @@ -7880,7 +8208,8 @@ pages = {477}, issn = {0022166X}, doi = {10.2307/145318}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{Moffitt2003, @@ -8008,7 +8337,8 @@ issn = {0820-3946, 1488-2329}, doi = {10.1503/cmaj.180188}, urldate = {2023-11-24}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Morris1981, @@ -8025,7 +8355,8 @@ pages = {117}, issn = {00035491}, doi = {10.2307/3317889}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{Mottaleb2020, @@ -8042,7 +8373,8 @@ issn = {1932-6203}, doi = {10.1371/journal.pone.0240709}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Muntaner2006, @@ -8075,7 +8407,8 @@ doi = {10.1093/heapol/czz019}, urldate = {2023-11-24}, abstract = {Abstract Women comprise a significant proportion of the health workforce globally but remain under-represented in the higher professional categories. Concern about the under-representation of women in health leadership positions has resulted in increased research on the topic, although this research has focused primarily on high-income countries. An improved understanding of the career trajectories and experiences of healthcare leaders in low- and middle-income countries (LMICs), and the role of gender, is therefore needed. This qualitative case study was undertaken in two counties in coastal Kenya. Drawing on the life-history approach, 12 male and 13 female healthcare leaders were interviewed between August 2015 and July 2016 on their career progression and related experiences. Although gender was not spontaneously identified as a significant influence, closer exploration of responses revealed that gendered factors played an important role. Most fundamentally, women's role as child bearers and gendered societal expectations including child nurturing and other domestic responsibilities can influence their ability to take up leadership opportunities, and their selection and appointment as leaders. Women's selection and appointment as leaders may also be influenced by positive discrimination policies (in favour of women), and by perceptions of women and men as having different leadership styles (against women, who some described as more emotive and reactive). These gendered influences intersect in relatively invisible ways with other factors more readily identified by respondents to influence their progression and experience. These factors included: professional cadre, with doctors more likely to be selected into leadership roles; and personal and professional support systems ranging from family support and role models, through to professional mentorship and continuing education. We discuss the implications of these findings for policy, practice and research, including highlighting the need for more in-depth intersectionality analyses of leadership experience in LMICs.}, - langid = {english} + langid = {english}, + keywords = {country::Kenya,inequality::gender,method::qualitative,out::abstract,region::SSA} } @article{Murphy2015, @@ -8090,6 +8423,7 @@ issn = {1559-047X}, doi = {10.1097/BCR.0000000000000156}, urldate = {2023-11-24}, + abstract = {The objective was to determine long-term psychological distress and quality of life (QOL) in young adult survivors of pediatric burns using the World Health Organization Disability Assessment Scale II (WHODAS) and the Burn Specific Health Scale-Brief (BSHS-B). Fifty burn survivors 2.5 to 12.5 years postburn (16{\textendash}21.5 years old; 56\% male, 82\% Hispanic) completed the WHODAS and BSHS-B. The WHODAS measures health and disability and the BSHS-B measures psychosocial and physical difficulties. Scores were calculated for each instrument, and then grouped by years postburn, TBSA, sex, burn age, and survey age to compare the effects of each. Next, the instruments were compared with each other. The WHODAS disability score mean was 14.4 {$\pm$} 2.1. BSHS-B domain scores ranged from 3 to 3.7. In general, as TBSA burned increased, QOL decreased. Female burn survivors, survivors burned prior to school entry, and adolescents who had yet to transition into adulthood reported better QOL than their counterparts. In all domains except Participation, the WHODAS consistently identified more individuals with lower QOL than the BSHS-B. Young adult burn survivors' QOL features more disability than their nonburned counterparts, but score in the upper 25\% for QOL on the BSHS-B. This analysis revealed the need for long-term psychosocial intervention for survivors with larger TBSA, males, those burned after school entry, and those transitioning into adulthood. Both instruments are useful tools for assessing burn survivors' QOL and both should be given as they discern different individuals. However, the WHODAS is more sensitive than the BSHS-B in identifying QOL issues.}, langid = {english} } @@ -8119,7 +8453,8 @@ doi = {10.1007/s44192-022-00005-2}, urldate = {2023-11-20}, abstract = {Abstract In the current COVID-19 pandemic there are reports of deteriorating psychological conditions among university students in lower-middle-income countries (LMICs), but very little is known about the gender differences in the mental health conditions on this population. This study aims to assess generalized anxiety disorder (GAD) among university students using a gender lens during the COVID-19 pandemic. A cross-sectional study was conducted using web-based Google forms between May 2020 and August 2020 among 605 current students of two universities in Bangladesh. Within the total 605 study participants, 59.5\% (360) were female. The prevalence of mild to severe anxiety disorder was 61.8\% among females and 38.2\% among males. In the multivariable logistic regression analysis, females were 2.21 times more likely to have anxiety compared to males [AOR: 2.21; CI 95\% (1.28{\textendash}53.70); p-value: 0.004] and participants' age was negatively associated with increased levels of anxiety (AOR\,=\,0.17; 95\% CI\,=\,0.05{\textendash}0.57; p \,=\,0.001). In addition, participants who were worried about academic delays were more anxious than those who were not worried about it (AOR: 2.82; 95\% CI 1.50{\textendash}5.31, p \,=\,0.001). These findings of this study will add value to the existing limited evidence and strongly advocate in designing gender-specific, low-intensity interventions to ensure comprehensive mental health services for the young adult population of Bangladesh.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Mwachofi2009, @@ -8167,7 +8502,9 @@ issn = {0885-6257, 1469-591X}, doi = {10.1080/08856257.2014.922791}, urldate = {2023-11-24}, - langid = {english} + abstract = {Abundant research exists on the transition from school to work of youth with disabilities. However, few studies investigate their subsequent long-term participation in working life. This study, drawing on a life course approach, aimed to examine how former students with special educational needs succeeded in finding full-time employment with sufficient pay to make them economically independent. The extent of economic independence was investigated in their late twenties and their mid-thirties. The sample (N\,=\,216) originates from a Norwegian longitudinal research project that commenced in the mid-1990s when the study participants just had started upper secondary school. Their special needs provision and their physical, psychological and/or social difficulties were recorded at the same time. After their teens, they were interviewed every fifth year. At both age phases close to 50\% of the study participants were economically independent, men to a much greater degree than women. By logistic regression analyses, it was revealed that the independent variables influenced economic independence differently among men and women, for example, that educational attainment was important for women, but not for men. However, possession of a driving licence was crucial for men, but was relatively unimportant for women, at least in the first age phase. There was also a differential impact of parenthood. Having children increased the likelihood of being economically independent for men, whereas the impact was opposite for women, especially when they were approaching their mid-thirties. Processes of cumulative advantages and disadvantages were also observed, indicating that previous negative life course experiences dramatically reduce the chances of obtaining economic independence.}, + langid = {english}, + keywords = {cite::channels,country::Norway,inequality::disability,out::abstract,region::EU} } @article{Myrskyla2009, @@ -8216,7 +8553,8 @@ doi = {10.3390/ijerph19042239}, urldate = {2023-11-20}, abstract = {Since the early stages of the COVID-19 pandemic, there have been reports of increased violence against women globally. We aimed to explore factors associated with reported increases in gender-based violence (GBV) during the pandemic in the Asia-Pacific region. We conducted 47 semi-structured interviews with experts working in sexual and reproductive health in 12 countries in the region. We analysed data thematically, using the socio-ecological framework of violence. Risks associated with increased GBV included economic strain, alcohol use and school closures, together with reduced access to health and social services. We highlight the need to address heightened risk factors, the importance of proactively identifying instances of GBV and protecting women and girls through establishing open and innovative communication channels, along with addressing underlying issues of gender inequality and social norms. Violence is exacerbated during public health crises, such as the COVID-19 pandemic. Identifying and supporting women at risk, as well as preventing domestic violence during lockdowns and movement restrictions is an emerging challenge. Our findings can help inform the adoption of improved surveillance and research, as well as innovative interventions to prevent violence and detect and protect victims.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Nandi2018, @@ -8233,7 +8571,8 @@ doi = {10.1111/1468-0009.12340}, urldate = {2023-11-24}, abstract = {Policy Points: Historically, reforms that have increased the duration of job-protected paid parental leave have improved women's economic outcomes. By targeting the period around childbirth, access to paid parental leave also appears to reduce rates of infant mortality, with breastfeeding representing one potential mechanism. The provision of more generous paid leave entitlements in countries that offer unpaid or short durations of paid leave could help families strike a balance between the competing demands of earning income and attending to personal and family well-being. Context Policies legislating paid leave from work for new parents, and to attend to individual and family illness, are common across Organisation for Economic Co-operation and Development (OECD) countries. However, there exists no comprehensive review of their potential impacts on economic, social, and health outcomes. Methods We conducted a systematic review of the peer-reviewed literature on paid leave and socioeconomic and health outcomes. We reviewed 5,538 abstracts and selected 85 published papers on the impact of parental leave policies, 22 papers on the impact of medical leave policies, and 2 papers that evaluated both types of policies. We synthesized the main findings through a narrative description; a meta-analysis was precluded by heterogeneity in policy attributes, policy changes, outcomes, and study designs. Findings We were able to draw several conclusions about the impact of parental leave policies. First, extensions in the duration of paid parental leave to between 6 and 12 months were accompanied by attendant increases in leave-taking and longer durations of leave. Second, there was little evidence that extending the duration of paid leave had negative employment or economic consequences. Third, unpaid leave does not appear to confer the same benefits as paid leave. Fourth, from a population health perspective, increases in paid parental leave were consistently associated with better infant and child health, particularly in terms of lower mortality rates. Fifth, paid paternal leave policies of adequate length and generosity have induced fathers to take additional time off from work following the birth of a child. How medical leave policies for personal or family illness influence health has not been widely studied. Conclusions There is substantial quasi-experimental evidence to support expansions in the duration of job-protected paid parental leave as an instrument for supporting women's labor force participation, safeguarding women's incomes and earnings, and improving child survival. This has implications, in particular, for countries that offer shorter durations of job-protected paid leave or lack a national paid leave entitlement altogether.}, - langid = {english} + langid = {english}, + keywords = {review::systematic,TODO::review} } @article{Navarro2009, @@ -8262,7 +8601,8 @@ pages = {433--447}, issn = {00377791, 15338533}, doi = {10.2307/800563}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{Neuberg1988, @@ -8277,7 +8617,8 @@ issn = {0304-2421, 1573-7853}, doi = {10.1007/BF00158886}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Neumark2003, @@ -8322,7 +8663,8 @@ pages = {215--225}, issn = {10530487}, doi = {10.1023/A:1021375500867}, - urldate = {2023-11-24} + urldate = {2023-11-24}, + keywords = {issue::age,out::year} } @article{Newman2014, @@ -8337,7 +8679,10 @@ issn = {1478-4491}, doi = {10.1186/1478-4491-12-25}, urldate = {2023-11-24}, - langid = {english} + abstract = {Gender is a key factor operating in the health workforce. Recent research evidence points to systemic gender discrimination and inequalities in health pre-service and in-service education and employment systems. Human resources for health (HRH) leaders' and researchers' lack of concerted attention to these inequalities is striking, given the recognition of other forms of discrimination in international labour rights and employment law discourse. If not acted upon, gender discrimination and inequalities result in systems inefficiencies that impede the development of the robust workforces needed to respond to today's critical health care needs. This commentary makes the case that there is a clear need for sex- and age-disaggregated and qualitative data to more precisely illuminate gender-related trends and dynamics in the health workforce. Because of their importance for measurement, the paper also presents definitions and examples of sex or gender discrimination and offers specific case examples. At a broader level, the commentary argues that gender equality should be an HRH research, leadership, and governance priority, where the aim is to strengthen health pre-service and continuing professional education and employment systems to achieve better health systems outcomes, including better health coverage. Good HRH leadership, governance, and management involve recognizing the diversity of health workforces, acknowledging gender constraints and opportunities, eliminating gender discrimination and equalizing opportunity, making health systems responsive to life course events, and protecting health workers' labour rights at all levels. A number of global, national and institution-level actions are proposed to move the gender equality and HRH agendas forward.}, + langid = {english}, + keywords = {inequality::gender,inequality::health,out::abstract}, + note = {commentary on requirements for sex-/age-disaggregated \& qualitative data} } @article{Nguyen2020, @@ -8353,7 +8698,8 @@ issn = {24682667}, doi = {10.1016/S2468-2667(20)30164-X}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Nicholson1977, @@ -8369,7 +8715,8 @@ doi = {10.1177/0193841X7700100202}, urldate = {2023-11-20}, abstract = {Participants' understanding of the treatment in social science experiments is raised as an issue in the specification of statistical models of policy evaluation. A statistical model is offered which shows that a failure to consider participants' understanding may intro duce biases of unknown direction into policy parametric estimates. Data from the New Jersey-Pennsylvania Negative Income Tax Experiment show that the negative income tax treatment was not well understood by the experimental participants, that under standing was correlated with experience and the treatment parameters themselves, and that the inclusion of "knowledge" variables in the labor supply equations used in the formal evaluation of the experiment changes some estimates of work disincentives.}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Niessen2018, @@ -8384,7 +8731,9 @@ issn = {01406736}, doi = {10.1016/S0140-6736(18)30482-3}, urldate = {2023-11-20}, - langid = {english} + abstract = {Five Sustainable Development Goals (SDGs) set targets that relate to the reduction of health inequalities nationally and worldwide. These targets are poverty reduction, health and wellbeing for all, equitable education, gender equality, and reduction of inequalities within and between countries. The interaction between inequalities and health is complex: better economic and educational outcomes for households enhance health, low socioeconomic status leads to chronic ill health, and non-communicable diseases (NCDs) reduce income status of households. NCDs account for most causes of early death and disability worldwide, so it is alarming that strong scientific evidence suggests an increase in the clustering of non-communicable conditions with low socioeconomic status in low-income and middle-income countries since 2000, as previously seen in high-income settings. These conditions include tobacco use, obesity, hypertension, cancer, and diabetes. Strong evidence from 283 studies overwhelmingly supports a positive association between low-income, low socioeconomic status, or low educational status and NCDs. The associations have been differentiated by sex in only four studies. Health is a key driver in the SDGs, and reduction of health inequalities and NCDs should become key in the promotion of the overall SDG agenda. A sustained reduction of general inequalities in income status, education, and gender within and between countries would enhance worldwide equality in health. To end poverty through elimination of its causes, NCD programmes should be included in the development agenda. National programmes should mitigate social and health shocks to protect the poor from events that worsen their frail socioeconomic condition and health status. Programmes related to universal health coverage of NCDs should specifically target susceptible populations, such as elderly people, who are most at risk. Growing inequalities in access to resources for prevention and treatment need to be addressed through improved international regulations across jurisdictions that eliminate the legal and practical barriers in the implementation of non-communicable disease control.}, + langid = {english}, + keywords = {cite::channels,inequality::health,inequality::income,out::abstract} } @article{Nino-Zarazua2017, @@ -8461,7 +8810,8 @@ pages = {507}, issn = {0022166X}, doi = {10.2307/145321}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @incollection{OConnor2008, @@ -8492,7 +8842,8 @@ pages = {460}, issn = {0022166X}, doi = {10.2307/144750}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{Olesen2015, @@ -8508,7 +8859,8 @@ issn = {1351-0711, 1470-7926}, doi = {10.1136/oemed-2014-102228}, urldate = {2023-11-24}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Olson2000, @@ -8523,7 +8875,8 @@ issn = {0047-6765}, doi = {10.1352/0047-6765(2000)038<0089:GDISE>2.0.CO;2}, urldate = {2023-11-24}, - langid = {english} + langid = {english}, + keywords = {inequality::gender,issue::no-access,out::title} } @article{Olufemi2000, @@ -8538,7 +8891,10 @@ issn = {0376-835X, 1470-3637}, doi = {10.1080/713661399}, urldate = {2023-11-20}, - langid = {english} + abstract = {This article gives an overview of poverty, deprivation and homelessness as a social ill that is eating deep into the society's fabric. It affirms that these concepts are inextricably linked, illustrating this with the case of the street homeless women. Furthermore, it describes the characteristics of street homeless women in Johannesburg inner city and their perception of poverty. It also describes the survival strategies adopted by these women on the streets. The article also illustrates that street homeless women suffer most from unprecedented population growth, high levels of poverty, homelessness, illiteracy and unemployment. They form part of the largest group of the poorly sheltered population. The street homeless women in particular constitute a population at risk, especially when the nature of their homelessness is concealed. The article suggests it might be appropriate to give special attention to the poorest segment of the population, which includes the street homeless women. They must be made to participate fully and equally in policies and strategies to alleviate poverty.}, + langid = {english}, + keywords = {cite::channels,country::South\_Africa,inequality::gender,inequality::poverty,out::abstract,region::SSA}, + note = {may be interesting to cite as an early example of intersectional analysis towards poverty, spatial (} } @article{Omondi2017, @@ -8569,7 +8925,9 @@ issn = {1435-9871}, doi = {10.4054/DemRes.2019.41.45}, urldate = {2023-11-24}, - langid = {english} + abstract = {Background: The cross-sectional association between female employment and fertility across developed countries turned from negative to positive during the mid-1980s. The conventional view is that the observed positive association is spurious owing to country-specific heterogeneity. Objective: We revisit the validity of this view using recent data up to 2017 from 24 countries belonging to the Organisation for Economic Co-operation and Development (OECD). Methods: Based on the data downloaded from the OECD database, we estimate the time-series association between the female labor force participation rate (FLFP) and total fertility rate (TFR) by fixed-effects regression models, which can control for country-specific heterogeneity. Results: The more recent the data set used, the more likely it is that the time-series correlation will be positive between FLFP and TFR, even after controlling for country-specific heterogeneity. We also observe that public spending on families, especially in the form of benefits in kind, starts increasing once FLFP becomes sufficiently high. Conclusions: A positive correlation between female employment and fertility in developed countries is no longer attributable to country-specific heterogeneity. The results are supportive of the view that higher female employment can make socioinstitutional contexts more favorable for childbearing, leading to a positive association between FLFP and TFR. Contribution: This study underscored the need for further investigation of the association between female employment and fertility, which is likely to have changed in recent decades.}, + langid = {english}, + keywords = {inequality::gender,inequality::health,out::abstract} } @article{Osterkamp2013, @@ -8641,7 +8999,8 @@ unique-id = {WOS:001079007500006}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Clinical Neurology} + web-of-science-categories = {Clinical Neurology}, + keywords = {out::title} } @article{Painter2016, @@ -8670,7 +9029,8 @@ issn = {02666138}, doi = {10.1016/j.midw.2020.102775}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Pampel1986, @@ -8685,7 +9045,8 @@ pages = {599}, issn = {00377732}, doi = {10.2307/2578815}, - urldate = {2023-11-24} + urldate = {2023-11-24}, + keywords = {issue::age,out::year} } @article{Pang2008, @@ -8747,7 +9108,8 @@ issn = {16583612}, doi = {10.1016/j.jtumed.2020.07.003}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{PaulSchultz2002, @@ -8780,7 +9142,8 @@ doi = {10.1371/journal.pone.0257193}, urldate = {2023-11-20}, abstract = {Background The aim of this research was to investigate the impact of the first COVID-19 lockdown (March 17 th {\textemdash}May 11 th 2020) on violence against women in France. Methods A prospective survey was conducted online between April 2th 2020 and July 5 th 2020. Female respondents were recruited from social media networks using the snowball sampling method. Data were collected three times: during (2{\textendash}19 April) and at the end (11{\textendash}25 May) of the first lockdown, and following the first lockdown (20 June{\textendash} 05 July). Sociodemographic variables, lockdown living conditions, financial impact of COVID, and history of psychiatric disorder were evaluated, together with changes in psychological distress over the lockdown period, and the risk of being assaulted post lockdown. Results Psychological distress was elevated and remained stable for most of the 1538 female respondents during lockdown. More than 7\% of women were affected by physical or sexual violence post lockdown. Unwanted sexual contact accounted for the majority of abuse, but physical and sexual assault were also prevalent. The risk of being abused was higher for participants who had changed anxiety/insomnia symptoms over the lockdown period, and a history of abuse. Discussion Women who experienced changes in anxiety/insomnia symptoms during the COVID-19 lockdown were at higher risk than others of being assaulted post lockdown, especially when they were already socially vulnerable. While social and psychological factors accounting for these changes warrant further investigation, communication and preventive measures during pandemics should include initiatives tailored to women more vulnerable to violence.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Percival2018, @@ -8796,11 +9159,13 @@ issn = {1744-8603}, doi = {10.1186/s12992-018-0401-6}, urldate = {2023-11-24}, - langid = {english} + abstract = {Background Global health policy prioritizes improving the health of women and girls, as evident in the Sustainable Development Goals (SDGs), multiple women's health initiatives, and the billions of dollars spent by international donors and national governments to improve health service delivery in low-income countries. Countries recovering from fragility and conflict often engage in wide-ranging institutional reforms, including within the health system, to address inequities. Research and policy do not sufficiently explore how health system interventions contribute to the broader goal of gender equity. Methods This paper utilizes a framework synthesis approach to examine if and how rebuilding health systems affected gender equity in the post-conflict contexts of Mozambique, Timor Leste, Sierra Leone, and Northern Uganda. To undertake this analysis, we utilized the WHO health systems building blocks to establish benchmarks of gender equity. We then identified and evaluated a broad range of available evidence on these building blocks within these four contexts. We reviewed the evidence to assess if and how health interventions during the post-conflict reconstruction period met these gender equity benchmarks. Findings Our analysis shows that the four countries did not meet gender equitable benchmarks in their health systems. Across all four contexts, health interventions did not adequately reflect on how gender norms are replicated by the health system, and conversely, how the health system can transform these gender norms and promote gender equity. Gender inequity undermined the ability of health systems to effectively improve health outcomes for women and girls. From our findings, we suggest the key attributes of gender equitable health systems to guide further research and policy. Conclusion The use of gender equitable benchmarks provides important insights into how health system interventions in the post-conflict period neglected the role of the health system in addressing or perpetuating gender inequities. Given the frequent contact made by individuals with health services, and the important role of the health system within societies, this gender blind nature of health system engagement missed an important opportunity to contribute to more equitable and peaceful societies.}, + langid = {english}, + keywords = {out::abstract} } @article{Perez2020, - title = {Vulnerable {{Women}} in a {{Pandemic}}: {{Paid Domestic Workers}} and {{{\textsc{COVID}}}} -19 in {{Peru}}}, + title = {Vulnerable {{Women}} in a {{Pandemic}}: {{Paid Domestic Workers}} and {{COVID}}-19 in {{Peru}}}, shorttitle = {Vulnerable {{Women}} in a {{Pandemic}}}, author = {P{\'e}rez, Leda M. and Gandolfi, Andrea}, year = {2020}, @@ -8813,7 +9178,8 @@ doi = {10.1111/blar.13212}, urldate = {2023-11-20}, abstract = {Paid domestic workers (PDWs) in Peru, who are predominantly women, are one of the most vulnerable labour sectors in the country. We argue that an important factor explaining this is linked to national legislation that grants only partial rights to the sector, thus maintaining inferior labour conditions for such workers. Here we share our analysis of a survey of 314 PDWs, conducted between April and May 2020, confirming that PDWs in Peru are highly unprotected, particularly during the COVID pandemic, in which there has been a lack of comprehensive social protection schemes.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Perlman2006, @@ -8863,7 +9229,9 @@ issn = {02779536}, doi = {10.1016/j.socscimed.2014.12.031}, urldate = {2023-11-20}, - langid = {english} + abstract = {There is a very large literature examining income inequality in relation to health. Early reviews came to different interpretations of the evidence, though a large majority of studies reported that health tended to be worse in more unequal societies. More recent studies, not included in those reviews, provide substantial new evidence. Our purpose in this paper is to assess whether or not wider income differences play a causal role leading to worse health. We conducted a literature review within an epidemiological causal framework and inferred the likelihood of a causal relationship between income inequality and health (including violence) by considering the evidence as a whole. The body of evidence strongly suggests that income inequality affects population health and wellbeing. The major causal criteria of temporality, biological plausibility, consistency and lack of alternative explanations are well supported. Of the small minority of studies which find no association, most can be explained by income inequality being measured at an inappropriate scale, the inclusion of mediating variables as controls, the use of subjective rather than objective measures of health, or follow up periods which are too short.}, + langid = {english}, + keywords = {inequality::health,inequality::income,out::title,review::narrative,TODO::review} } @article{Pinchoff2021, @@ -8880,7 +9248,8 @@ doi = {10.1136/bmjopen-2020-042749}, urldate = {2023-11-20}, abstract = {Objectives COVID-19 may spread rapidly in densely populated urban informal settlements. Kenya swiftly implemented mitigation policies; we assess the economic, social and health-related harm disproportionately impacting women. Design A prospective longitudinal cohort study with repeated mobile phone surveys in April, May and June 2020. Participants and setting 2009 households across five informal settlements in Nairobi, sampled from two previously interviewed cohorts. Primary and secondary outcome measures Outcomes include food insecurity, risk of household violence and forgoing necessary health services due to the pandemic. Gender-stratified linear probability regression models were constructed to determine the factors associated with these outcomes. Results By May, more women than men reported adverse effects of COVID-19 mitigation policies on their lives. Women were 6 percentage points more likely to skip a meal versus men (coefficient: 0.055; 95\% CI 0.016 to 0.094), and those who had completely lost their income were 15 percentage points more likely versus those employed (coefficient: 0.154; 95\% CI 0.125 to 0.184) to skip a meal. Compared with men, women were 8 percentage points more likely to report increased risk of household violence (coefficient: 0.079; 95\% CI 0.028 to 0.130) and 6 percentage points more likely to forgo necessary healthcare (coefficient: 0.056; 95\% CI 0.037 to 0.076). Conclusions The pandemic rapidly and disproportionately impacted the lives of women. As Kenya reopens, policymakers must deploy assistance to ensure women in urban informal settlements are able to return to work, and get healthcare and services they need to not lose progress on gender equity made to date.}, - langid = {english} + langid = {english}, + keywords = {relevant,TODO::abstract} } @article{Pinkster2009, @@ -8921,7 +9290,8 @@ unique-id = {WOS:000664609300003}, usage-count-last-180-days = {2}, usage-count-since-2013 = {10}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::review,review::systematic,TODO::review,type::ubi} } @article{Piquero2020, @@ -8937,7 +9307,8 @@ issn = {1066-2316, 1936-1351}, doi = {10.1007/s12103-020-09531-7}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Platts2015, @@ -8953,7 +9324,8 @@ issn = {1360-7863, 1364-6915}, doi = {10.1080/13607863.2014.955458}, urldate = {2023-11-24}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Plotnick1982, @@ -8983,7 +9355,8 @@ issn = {0032-4728, 1477-4747}, doi = {10.1080/00324728.1974.10405193}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Popkin1993, @@ -8999,7 +9372,8 @@ pages = {556}, issn = {02768739}, doi = {10.2307/3325306}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{Poppen2017, @@ -9032,7 +9406,8 @@ pages = {245}, issn = {00167398}, doi = {10.2307/3059830}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{Poveda2011, @@ -9114,7 +9489,8 @@ pages = {1}, issn = {00987921}, doi = {10.2307/2137629}, - urldate = {2023-11-24} + urldate = {2023-11-24}, + keywords = {issue::age,out::year} } @article{Psacharopoulos1989, @@ -9129,7 +9505,8 @@ issn = {0257-3032, 1564-6971}, doi = {10.1093/wbro/4.2.187}, urldate = {2023-11-24}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Psaki2016, @@ -9233,7 +9610,8 @@ issn = {01452134}, doi = {10.1016/j.chiabu.2021.105168}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Rahman2021, @@ -9249,7 +9627,8 @@ doi = {10.1186/s12888-021-03629-w}, urldate = {2023-11-20}, abstract = {Abstract Background The impact of the unpredictable COVID-19 pandemic had triggered new challenges for mental health. This quick survey aimed to identify the mental health status of physicians who served the people during COVID-19 in Bangladesh. Methodology The cross sectional survey was conducted adopting a quantitative approach and using an online questionnaire through Facebook Platform Group. Data was collected from August-October, 2020, on socio-demographic status, information on COVID-19 and questionnaires about Depression Anxiety Stress Scale (DASS-21). A total of 395 participants were enrolled from all eight administrative divisions of Bangladesh. Result Our study reported a higher prevalence of depression (55.3\%), anxiety (35.2\%), and stress (48.4\%) among 347 participants. Female physicians were found to have more stress (OR\,=\,2.16, 95\% CI: 1.09 {\textendash} 4.30) compared to the male. Physicians who were previously diagnosed as mentally ill were found to be significantly more depressed (OR\,=\,3.45, 95\% CI: 1.07 {\textendash} 11.10) and stressed (OR\,=\,4.22, 95\% CI: 1.48 {\textendash} 12.02) compared to them who did not. Along with that, having a chronic disease, working in non-government and COVID hospitals significantly contributed to poor mental health outcomes. Conclusion The study findings denoted that, the mental health of physicians was deeply affected by the pandemic situation. The availability of appropriate mental health support will help foster resilience by giving them the ability and confidence to manage crisis moments like the COVID-19 pandemic.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{RashidSoron2021, @@ -9265,7 +9644,8 @@ doi = {10.2196/24624}, urldate = {2023-11-20}, abstract = {Background The COVID-19 lockdown, the advent of working from home, and other unprecedent events have resulted in multilayer and multidimensional impacts on our personal, social, and occupational lives. Mental health conditions are deteriorating, financial crises are increasing in prevalence, and the need to stay at home has resulted in the increased prevalence of domestic violence. In Bangladesh, where domestic violence is already prevalent, the lockdown period and stay-at-home orders could result in more opportunities and increased scope for perpetrators of domestic violence. Objective In this study, we aimed to determine the prevalence and pattern of domestic violence during the initial COVID-19 lockdown period in Bangladesh and the perceptions of domestic violence survivors with regard to mental health care. Methods We conducted this cross-sectional web-based study among the Bangladeshi population and used a semistructured self-reported questionnaire to understand the patterns of domestic violence and perceptions on mental health care from August to September 2020. The questionnaire was disseminated on different organizational websites and social media pages (ie, those of organizations that provide mental health and domestic violence services). Data were analyzed by using IBM SPSS (version 22.0; IBM Corporation). Results We found that 36.8\% (50/136) of respondents had faced domestic violence at some point in their lives; psychological abuse was the most common type of violence. However, the prevalence of the economical abuse domestic violence type increased after the COVID-19 lockdown was enforced. Although 96.3\% (102/136) of the participants believed that domestic violence survivors need mental health support, only 25\% (34/136) of the respondents had an idea about the mental health services that are available for domestic violence survivors in Bangladesh and how and where they could avail mental health services. Conclusions Domestic violence is one of the most well-known stressors that have direct impacts on physical and mental health. However, the burden of domestic violence is often underreported, and its impact on mental health is neglected in Bangladesh. The burden of this problem has increased during the COVID-19 crisis, and the cry for mental health support is obvious in the country. However, it is necessary to provide information about available support services; telepsychiatry can be good option for providing immediate mental health support in a convenient and cost-effective manner.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Ratzon2011, @@ -9311,7 +9691,8 @@ issn = {24058440}, doi = {10.1016/j.heliyon.2021.e06619}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Rechel2013, @@ -9341,7 +9722,9 @@ issn = {1461-6696, 1469-8307}, doi = {10.1080/14616696.2020.1823010}, urldate = {2023-11-20}, - langid = {english} + abstract = {COVID-19 and ensuing changes in mobility have altered employment relations for millions of people across the globe. Emerging evidence shows that women may be more severely affected by this change. The pandemic, however, may have an impact beyond the immediate restructuring of employment and shift gender-role attitudes within households as a result of changes in the division of household labor. We analyze a representative sample of respondents in the U.S., Germany, and Singapore and show that transitions to unemployment, reductions in working hours and transitions to working from home have been more frequent for women than for men {\textendash} although not to the same extent across the three countries. We also demonstrate that among couples who had been employed at the start of the pandemic, men express more egalitarian gender-role attitudes if they became unemployed but their partners remained employed, while women express more traditional attitudes if they became unemployed and their partners remained employed. These results indicate that gender-role attitudes might adapt to the lived realities. The long-term consequences will depend on how both men and women experience further shifts in their employment relations as economies recover.}, + langid = {english}, + keywords = {cite::channels,inequality::gender,out::abstract} } @article{Repon2021, @@ -9358,7 +9741,8 @@ doi = {10.1177/00368504211026409}, urldate = {2023-11-20}, abstract = {The COVID-19 has been spreading across the world since December 2019. The pandemic has created tremendous fear of death from infection and awful psychological pressure on healthcare professionals (HCPs). The measures of psychological effects of the COVID-19 outbreak on the Bangladeshi HCPs are unknown. The present study aimed to assess the mental health outcomes of Bangladeshi HCPs and associated risk factors. We conducted this cross-sectional study from July 15 to September 20, 2020. A total of 355 HCPs aged between 20 and 60\,years residing in Bangladesh participated in this study. All the participants completed a self-administered questionnaire through Google Forms consisting of socio-demographic characteristics and mental health outcomes. We measure loneliness, depression, anxiety, and sleep disturbance using the UCLA loneliness scale-8, patient health questionnaire-9, 7-item generalized anxiety disorder scale, Pittsburgh sleep quality index. The present study observed the prevalence of loneliness, depression, anxiety, and sleep disturbance among HCPs were 89\%, 44\%, 78\%, and 87\%, respectively. The factors significantly associated with the development of mental health problems among HCPs were working environment, economic condition, education level, area of residence, marital status, gender differences, professional category, body mass index, and smoking habit. Moreover, we have seen significant correlations among the different mental health outcomes. In Bangladesh, a large portion of HCPs reported mental health issues during the COVID-19 pandemic. COVID-19 pandemic incredibly impacted the psychological health of Bangladeshi healthcare professionals. Appropriate supportive programs and interventional initiatives might help the HCPs with mental health problems during and after this pandemic.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Ribar1999, @@ -9373,7 +9757,8 @@ pages = {547--565}, issn = {0933-1433, 1432-1475}, doi = {10.1007/s001480050113}, - urldate = {2023-11-24} + urldate = {2023-11-24}, + keywords = {issue::age,out::year} } @article{Rijs2012, @@ -9421,7 +9806,8 @@ issn = {2214109X}, doi = {10.1016/S2214-109X(20)30229-1}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Robins1980, @@ -9436,7 +9822,8 @@ pages = {545}, issn = {0022166X}, doi = {10.2307/145401}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{Robins1985, @@ -9451,7 +9838,8 @@ pages = {567}, issn = {0022166X}, doi = {10.2307/145685}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{Robins1986, @@ -9467,7 +9855,8 @@ issn = {0735-0015, 1537-2707}, doi = {10.1080/07350015.1986.10509529}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Rockowitz2021, @@ -9484,7 +9873,8 @@ doi = {10.1136/bmjopen-2021-048636}, urldate = {2023-11-20}, abstract = {Objectives This study examined patterns of sexual violence against adults and children in Kenya during the COVID-19 pandemic to inform sexual violence prevention, protection, and response efforts. Design A prospective cross-sectional research design was used with data collected from March to August 2020. Setting Kenya. Participants 317 adults, 224 children. Main measures Perpetrator and survivor demographic data, characteristics of the assault. Results Bivariate analyses found that children were more likely than adults to be attacked during daytime (59\% vs 44\%, p{$<$}0.001) by a single perpetrator rather than multiple perpetrators (31\% vs 13\%, p{$<$}0.001) in a private as opposed to a public location (66\% vs 45\%, p{$<$}0.001) and by someone known to the child (76\% vs 58\%, p{$<$}0.001). Children were violated most often by neighbours (29\%) and family members (20\%), whereas adults were equally likely to be attacked by strangers (41\%) and persons known to them (59\%). These variables were entered as predictors into a logistic regression model that significantly predicted the age group of the survivor, {$\chi$} 2 (5, n=541)=53.3, p{$<$}0.001. Conclusions Patterns of sexual violence against adult and child survivors during the COVID-19 pandemic are different, suggesting age-related measures are needed in national emergency plans to adequately address sexual violence during the pandemic and for future humanitarian crises.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Roebroeck2009, @@ -9532,7 +9922,8 @@ issn = {1472-6963}, doi = {10.1186/s12913-014-0532-2}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Rosenzweig1980, @@ -9548,7 +9939,8 @@ issn = {0022-3808, 1537-534X}, doi = {10.1086/260868}, urldate = {2023-11-24}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Rosenzweig1980a, @@ -9565,7 +9957,8 @@ pages = {227}, issn = {00129682}, doi = {10.2307/1912026}, - urldate = {2023-11-24} + urldate = {2023-11-24}, + keywords = {issue::age,out::year} } @article{Roy2006, @@ -9597,7 +9990,9 @@ issn = {1741-3842, 1741-3850}, doi = {10.1093/pubmed/fdx006}, urldate = {2023-11-20}, - langid = {english} + abstract = {The idea of a universal basic income (UBI) has recently resurfaced and risen to prominence in global policy discussions, with strong arguments from both proponents and opponents. UBI is defined as unconditional income granted to each citizen, irrespective of work criteria or a means test.1 The idea is far from new, yet it remains a controversial topic of debate in political and economic circles. The history of basic income includes past experiments in Europe, the Manitoba project in Canada in the 1970s and similar income experiments in the USA. In addition, recent basic income pilots have debuted in Kenya, Namibia and India; while in the UK, the provision of UBI has been promoted by the Green Party since 2015. This raises the question of whether UBI schemes can contribute to reducing health inequities, defined by the WHO as systematic differences in health, between and within countries, that are avoidable by reasonable action.2 Income is widely considered to be the most import social determinant of health (SDH), as it interacts with, and influences a number of other SDH pathways.3 Given the widespread acknowledgement of the importance of reducing health inequities, and how a surge in income inequalities that both preceded and followed the 2008 global financial crisis has undermined SDHs globally,4 we argue that UBI has the potential to counter-act this trend and significantly and sustainably reduce health inequities. The paper will first focus on what is known about UBI's impact on a range of specific health pathways, including: birth outcomes, educational attainment, housing and mental health. Given the existence of various UBI models, it will then discuss some of the advantages and drawbacks of different approaches to UBI from a health equity perspective. We finally address some of the main criticisms that have been raised about UBI in relation to work disincentives, gendered impacts and economic costs.}, + langid = {english}, + keywords = {cite::channels,country::US,favorite,inequality::education,inequality::health,inequality::income,out::abstract,region::NA,type::ubi} } @article{Rumrill2013, @@ -9642,7 +10037,8 @@ issn = {24058440}, doi = {10.1016/j.heliyon.2022.e08785}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Sakuragi2022, @@ -9658,7 +10054,8 @@ doi = {10.1002/1348-9585.12339}, urldate = {2023-11-20}, abstract = {Abstract Objectives Although gender stereotypes regarding paid work and unpaid work are changing, most wives are responsible for taking care of the family and home in Japan. It is unclear how time spent on housework and childcare has changed between working men and women during the COVID-19 pandemic in Japan. The purpose of this study is to investigate how working men and women's responsibilities for housework and childcare changed during the COVID-19 pandemic in Japan depending on work hours, job type, the number of employees in the workplace, and frequency of telecommuting. Methods A cross-sectional analysis ( N ~=~14,454) was conducted using data from an Internet monitoring study (CORoNa Work Project), which was conducted in December 2020. A multilevel logistic model with nested prefectures of residence was conducted to estimate the odds ratio (OR) for change in time devoted to housework and childcare among men and women adjusting for age, household income, presence of spouse who work, work hours, job type, the number of employees in the workplace, frequency of telecommuting, and the incidence rate of COVID-19 by prefecture. Results More women tended to perceive that their time of housework and/or childcare had been changed (increased housework: OR 1.92, 95\% CI [1.71{\textendash}2.16], P ~{$<~$}.001; decreased workhours: 1.66 (1.25{\textendash}2.19), P ~{$<~$}.001: increased childcare: OR 1.58, 95\% CI [1.29{\textendash}1.92], P ~{$<~$}.001; decreased childcare: 1.11 (0.62{\textendash}2.00), P ~=~.719). Conclusions The time spent by women on housework and childcare changed significantly compared to men during the COVID-19 pandemic in Japan.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Salkind1982, @@ -9675,7 +10072,8 @@ doi = {10.1177/019251382003002003}, urldate = {2023-11-20}, abstract = {The general purpose of the four negative income tax (NIT) experiments was to evaluate the impact of a guaranteed income on labor participation. Beyond this general objective, certain subobjectives can be identified, three of which define the purpose of this analysis. The first is to determine what effect an income maintenance experiment program can have on the health and educational status of children from low-income families, the second is to examine the long-range effects of such a program, and the third is to complete a policy analysis using these results to consider the relative effectiveness of service programs and income maintenance programs in promoting child development and stability. The results show that the NIT experiments were effective in reducing a child's risk of being at poverty. The implications of this are discussed from several policy perspectives.}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Salm2009, @@ -9754,7 +10152,9 @@ issn = {0256-0909, 2395-3799}, doi = {10.1177/0256090915598264}, urldate = {2023-11-24}, - langid = {english} + abstract = {As an economy transforms from an agricultural economy to an industrial economy, a decline in participation of female labour force is observed. This is attributed to the shift from family-based production to large-scale production in industrial units. The womenfolk being mostly illiterate or with low levels of education face shortage of work in the home turf and have inhibitions in working as manual labour in the non-agricultural sector. But with an increase in family income and improvement in the education level of females, more and more females start entering the labour force, especially into non-manual or service-oriented jobs. That is why the participation of females in the labour force in comparison with the economic growth is supposed to be U-shaped (Goldin, 1994). This article examines how the experience has been in India especially among rural females who account for the major share of the rural population.}, + langid = {english}, + keywords = {cite::channels,country::India,inequality::gender,inequality::spatial,method::qualitative,out::abstract,region::AP} } @article{Santiago1991, @@ -9769,7 +10169,8 @@ pages = {492--515}, issn = {00377791, 15338533}, doi = {10.2307/800567}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{Sarker2021a, @@ -9785,7 +10186,8 @@ doi = {10.1111/gwao.12587}, urldate = {2023-11-20}, abstract = {Abstract Crisis impacts are never gender-neutral, and COVID-19 is no exception. The pandemic has further exacerbated the gender and socioeconomic inequalities, therefore, crucial to undertake a gender impact analysis of COVID-19. This perspective paper highlights women's vulnerability in the labor market and focused on the increasing unpaid workloads in the response to the COVID-19 outbreak. Focusing on various surveys, feminized sectors such as agriculture, garments have been hardest hit by the pandemic. Female workers have been rapidly lost their means to earn income and confined to homes. Beyond lost jobs and reduced working hours, the pandemic has also increased the time poverty of women. While pre-pandemic unpaid work burdens are well established as strong, the study indicates that burdens are escalated after-pandemic. Women balanced intensified unpaid care and domestic works simultaneously or make a tradeoff, without or minimal help from men. Such results suggest a gender-inclusive policy to minimize the effects of the pandemic, placing women at the center of focus.}, - langid = {english} + langid = {english}, + keywords = {country::Bangladesh,out::abstract,region::AP} } @article{Sarker2021b, @@ -9799,7 +10201,8 @@ issn = {2456-690X}, doi = {10.9734/ajee/2021/v16i330247}, urldate = {2023-11-20}, - abstract = {With pandemic progression and the stay-at-home situation, household are producing more dangerous medical waste. Households became the most vulnerable and unprotected sector of coronavirus transmission due to the unconsciousness and lack of guidance of hazardous waste management. Therefore, waste management is a critical concern to public health. This study examines household waste generation and waste management issues in Bangladesh during COVID-19 from March 2020 to August 2021. The study showed that adequate identification, collection, transportation, processing, separation, and disposal are the challenges of safe waste management. Each activity bears a high risk of getting infected because of lack of proper guidance and protection. Moreover, the improper disposal of hazardous waste causes immense soil, water and air pollution that might have negative effects to the human body. Some suggested guidelines to a better COVID-19 household's waste management are discussed in the context of Bangladesh.} + abstract = {With pandemic progression and the stay-at-home situation, household are producing more dangerous medical waste. Households became the most vulnerable and unprotected sector of coronavirus transmission due to the unconsciousness and lack of guidance of hazardous waste management. Therefore, waste management is a critical concern to public health. This study examines household waste generation and waste management issues in Bangladesh during COVID-19 from March 2020 to August 2021. The study showed that adequate identification, collection, transportation, processing, separation, and disposal are the challenges of safe waste management. Each activity bears a high risk of getting infected because of lack of proper guidance and protection. Moreover, the improper disposal of hazardous waste causes immense soil, water and air pollution that might have negative effects to the human body. Some suggested guidelines to a better COVID-19 household's waste management are discussed in the context of Bangladesh.}, + keywords = {out::title} } @article{Satink2013, @@ -9864,7 +10267,9 @@ issn = {1473-3285, 1473-3277}, doi = {10.1080/14733285.2014.890390}, urldate = {2023-11-20}, - langid = {english} + abstract = {This article describes ethnographic research involving street children and child labor in urban Honduras. It is set in a context of deteriorating social, political, and economic conditions that has created an increase in child labor. However, the research findings have delineated that a growing number of children are choosing to work and live on the street to escape extreme poverty and hunger in their familial households. Despite the multi-local spaces they inhabit, they have been able to create unique non-kin relations while often maintaining family based linkages. This study, undertaken in two centers for boys in Tegucigalpa and Comayagua, Honduras analyzes the contextual dynamics and decision-making processes of Honduran youth regarding work and living arrangements in urban spaces.}, + langid = {english}, + keywords = {country::Honduras,inequality::age,inequality::poverty,method::qualitative,out::abstract,region::LAC} } @article{Schreuer2009, @@ -9894,7 +10299,9 @@ pages = {191}, issn = {00167428}, doi = {10.2307/216118}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + abstract = {This geography of women's work in the less-developed world is set in Tarija, Bolivia, a small city that has been dramatically changed by economic crisis and structural-adjustment programs. Explored is the spatial component of women's economic activities in a low-income barrio following the imposition of structural-adjustment programs in the 1980s and 1990s. Women who pursue employment away from home must rely on other women. In particular, households that include more than one woman who is capable of handling important daily chores are more likely to have a woman engaged in income-generating activities away from the home and the neighborhood. Women at home make it possible for other women to extend their economic activity into the broader community. These findings are important because they draw attention to women's reliance on other women, how women use space, and how they are constrained by spatial factors as they negotiate their daily lives.}, + keywords = {cite::channels,country::Bolivia,inequality::gender,inequality::spatial,out::abstract,region::LAC} } @article{Schultz1990, @@ -9910,7 +10317,8 @@ issn = {0013-0079, 1539-2988}, doi = {10.1086/451811}, urldate = {2023-11-24}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Schuring2015, @@ -9925,7 +10333,9 @@ issn = {0355-3140, 1795-990X}, doi = {10.5271/sjweh.3514}, urldate = {2023-11-24}, - langid = {english} + abstract = {Objectives This study aimed to investigate (i) the influence of entering or leaving paid employment on self-rated health trajectories before, during, and after this transition and (ii) educational differences in these health trajectories. Methods In this prospective study, we used yearly measurements of self-rated health from the European Community Household Panel (ECHP) to establish how health is affected by employment transitions in or out of the workforce due to early retirement, unemployment or economic inactivity. Trajectories of self-rated health were analyzed among 136 556 persons with low, intermediate, or high educational level by repeated-measures logistic regression with generalized estimating equations. Results Among low-educated workers, ill-health partly prompted their voluntary labor force exit through early retirement and becoming economically inactive, but thereafter these exit routes seemed to prevent further deterioration of their health. In contrast, among higher educated workers, early retirement had an adverse effect on their self-rated health. Becoming unemployed had adverse effects on self-rated health among all educational levels. Entering paid employment was predetermined by self-rated health improvement in the preceding years among intermediate and high educated workers, whereas, among low-educated workers, self-rated health improved in the year of entering paid employed and continued to improve in the following years. Conclusions Prolonging working life may have both adverse and beneficial effects on self-rated health. Health inequalities may increase when every person, independent of educational level, must perform paid employment until the same age before being able to retire.}, + langid = {english}, + keywords = {out::abstract} } @article{Seck2021, @@ -9941,7 +10351,9 @@ issn = {1354-5701, 1466-4372}, doi = {10.1080/13545701.2021.1876905}, urldate = {2023-11-20}, - langid = {english} + abstract = {Using data from Rapid Gender Assessment Surveys investigating the socioeconomic consequences of COVID-19 on women's and men's lives, this study assesses whether the pandemic threatens fragile gains on gender equality in paid and unpaid work. Evidence from eleven countries in Asia-Pacific indicates that the impact of the pandemic goes far beyond health consequences. With children out of school, intensified care needs of elderly and ill family members, and labor markets in turmoil, demands for unpaid domestic and care work have increased substantially. Results show that women are disproportionately shouldering the burden of unpaid care and domestic work triggered by the lockdowns, and they are losing their livelihoods faster than men. Worsening mental health also emerges as a critical area affecting women disproportionately. These findings inform emergency responses for a gender-sensitive recovery, and underscore the need to take radical, positive actions to redress long-standing inequalities in multiple areas of women's lives.}, + langid = {english}, + keywords = {cite::channels,inequality::gender,out::abstract} } @article{Sediri2020, @@ -9957,7 +10369,8 @@ issn = {1434-1816, 1435-1102}, doi = {10.1007/s00737-020-01082-4}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @incollection{Sen1990, @@ -9972,7 +10385,8 @@ doi = {10.1007/978-1-349-21136-4_3}, urldate = {2023-11-24}, isbn = {978-0-333-53513-4 978-1-349-21136-4}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Shah2020, @@ -9987,7 +10401,8 @@ issn = {01909622}, doi = {10.1016/j.jaad.2020.04.046}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Sharma2020, @@ -10004,7 +10419,8 @@ doi = {10.1186/s12939-020-01186-4}, urldate = {2023-11-20}, abstract = {Abstract The COVID-19 outbreak has been declared a global pandemic and cases are being reported among displaced populations that are particularly vulnerable to infection. Humanitarian workers on the frontlines of the response are working in some of the most challenging contexts and also face elevated risk of contracting COVID-19 and potential stigmatization or violence in the community. Women humanitarians may be at even greater risk, but their protection is dependent on organization-specific policies and procedures. Without gender balance in leadership positions, the specific needs of women may not be prioritized and women may not be included in decision-making or design of responses. Ensuring gender equitable access to personal protective equipment and information is imperative, but additional measures must be put into place to ensure the protection of women on the frontlines while reducing COVID-19 deaths and adverse health effects among displaced populations.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Sharma2022a, @@ -10021,7 +10437,8 @@ doi = {10.1017/dmp.2021.59}, urldate = {2023-11-20}, abstract = {Abstract Background: There has been a reported increase in cases of domestic violence during the coronavirus disease 2019 (COVID-19) pandemic; however, systematic research data are still unavailable. This study was conducted to find out domestic violence prevalence and coping strategies among married adults during lockdown due to COVID-19 in India. Methods: A cross-sectional study was conducted among married men and women in the month of April 2020. Data regarding socio-demographic profile, domestic violence, and coping strategies used during lockdown were collected thorough Google Forms. A total of 97.9\% of the forms were completely filled by the respondents. A descriptive analysis was done. Results: Of 94 study participants, approximately 7.4\% ( n = 7) had faced domestic violence during lockdown. Of these 7 participants, approximately 85.7\% ( n = 6) reported increased frequency of domestic violence during lockdown. Approximately half of the victims chose to ignore it (57.1\%; n = 4) or used yoga/meditation (42.9\%; n = 3) to cope. Conclusions: With approximately 7.4\% study participants facing domestic violence during lockdown, it is necessary to study its detailed epidemiology in pandemics so that interventions like helpline numbers, screening of patients during tele-consultation, etc., which can be delivered even during lockdown with the help of health-care and frontline workers could be devised to address this problem.}, - langid = {english} + langid = {english}, + keywords = {out::abstract} } @article{Shin2006, @@ -10052,7 +10469,8 @@ issn = {00018791}, doi = {10.1006/jvbe.1997.1610}, urldate = {2023-11-24}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Shung-King2018, @@ -10068,7 +10486,9 @@ issn = {1475-9276}, doi = {10.1186/s12939-018-0859-0}, urldate = {2023-11-24}, - langid = {english} + abstract = {Background The importance of strong and transformative leadership is recognised as essential to the building of resilient and responsive health systems. In this regard, Sustainable Development Goals (SDG) 5 prioritises a current gap, by calling for women's full and effective participation and equal opportunities for leadership, including in the health system. In South Africa, pre-democracy repressive race-based policies, coupled with strong patriarchy, led to women and especially black women, being `left behind' in terms of career development and progression into senior health leadership positions. Methods Given limited prior inquiry into this subject, we conducted a qualitative exploratory study employing case study design, with the individual managers as the cases, to examine the influence of gender on career progression and leadership perceptions and experiences of senior managers in South Africa in five geographical districts, located in two provinces. We explored this through in-depth interviews, including life histories, career pathway mapping and critical incident analysis. The study sample selection was purposive and included 14 female and 5 male senior-managers in district and provincial health departments. Results Our findings suggest that women considerably lag behind their male counterparts in advancing into management- and senior positions. We also found that race strongly intersected with gender in the lived experiences and career pathways of black female managers and in part for some black male managers. Professional hierarchy further compounded the influence of gender and race for black women managers, as doctors, who were frequently male, advanced more rapidly into management and senior management positions, than their female counterparts. Although not widespread, other minority groups, such as male managers in predominantly female departments, also experienced prejudice and marginalisation. Affirmative employment policies, introduced in the new democratic dispensation, addressed this discriminatory legacy and contributed to a number of women being the `first' to occupy senior management positions. In one of the provinces, these pioneering female managers assumed role-modelling and mentoring roles and built strong networks of support for emerging managers. This was aided by an enabling, value-based, organisational culture. Conclusion This study has implications for institutionalising personal and organisational development that recognise and appropriately advances women managers, paying attention to the intersections of gender, race and professional hierarchy. It is important in the context of national and global goals, in particular SDG 5, that women and in particular black women, are prioritised for training and capacity development and ensuring that transformative health system policies and practices recognise and adapt, supporting the multiple social and work roles that managers, in particular women, play.}, + langid = {english}, + keywords = {cite::channels,country::South\_Africa,inequality::gender,inequality::racial,out::abstract,region::SSA} } @techreport{Siam2020, @@ -10082,7 +10502,8 @@ doi = {10.1101/2020.08.05.20168674}, urldate = {2023-11-20}, abstract = {Abstract Background South Asian countries including Bangladesh have been struggling to control the COVID-19 pandemic despite imposing months of lockdown and other public health measures (as of June 30, 2020). In-depth epidemiological information from these countries is lacking. From the perspective of Bangladesh, this study aims to understand the epidemiological features and gaps in public health preparedness. Method This study used publicly available data (8 March-30 June 2020) from the respective health departments of Bangladesh and Johns Hopkins University Coronavirus Resource Centre. Descriptive statistics was used to report the incidence, case fatality rates (CFR), and trend analysis. Spatial distribution maps were created using ArcGIS Desktop. Infection dynamics were analyzed via SIR models. Findings In 66 days of nationwide lockdown and other public health efforts, a total of 47,153 cases and 650 deaths were reported. However, the incidence was increased by around 50\% within a week after relaxing the lockdown. Males were disproportionately affected in terms of infections (71\%) and deaths (77\%) than females. The CFR for males was higher than females (1.38\% vs 1.01\%). Over 50\% of infected cases were reported among young adults (20-40-year age group). Geospatial analysis between 7 June 2020 and 20 June 2020 showed that the incidences increased 4 to 10-fold in 12 administrative districts while it decreased in the epicenter. As compared to the EU and USA, trends of the cumulative incidence were slower in South Asia with lower mortality. Conclusion Our findings on gaps in public health preparedness and epidemiological characteristics would contribute to facilitating better public health decisions for managing current and future pandemics like COVID-19 in the settings of developing countries.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Sibbald1998, @@ -10098,7 +10519,8 @@ issn = {0959-8138, 1468-5833}, doi = {10.1136/bmj.316.7126.201}, urldate = {2023-11-24}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Siddiqui2020, @@ -10111,7 +10533,9 @@ pages = {453}, issn = {2296-2565}, doi = {10.3389/fpubh.2020.00453}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + abstract = {Despite social and economic development, the burden of malnutrition across the globe remains unacceptably high. A vital relationship exists between nutritional status, human capital, and economic standing. Malnutrition adversely affects the physiological and mental capacity of individuals; which in turn hampers productivity levels, making them and their respective countries more susceptible to poverty. A two-way link exists between malnutrition and poverty, creating a vicious cycle with each fueling the other. Malnutrition produces conditions of poverty by reducing the economic potential of the population and likewise, poverty reinforces malnutrition by increasing the risk of food insecurity. The aim of the paper is to describe the interconnection between malnutrition and poverty, and to highlight how both serve as the cause and consequence of each other. The paper also discusses ways to move ahead to tackle these issues in a parallel manner rather than in separate silos.}, + keywords = {cite::channels,inequality::consumption,inequality::poverty,out::abstract} } @article{Sifat2020, @@ -10125,7 +10549,8 @@ issn = {18762018}, doi = {10.1016/j.ajp.2020.102393}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @book{Silber2012, @@ -10163,7 +10588,8 @@ pages = {265}, issn = {0022166X}, doi = {10.2307/144976}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{Slack2010a, @@ -10253,7 +10679,9 @@ issn = {1744-1692, 1744-1706}, doi = {10.1080/17441692.2021.1896765}, urldate = {2023-11-20}, - langid = {english} + abstract = {Gender norms, roles and relations differentially affect women, men, and non-binary individuals' vulnerability to disease. Outbreak response measures also have immediate and long-term gendered effects. However, gender-based analysis of outbreaks and responses is limited by lack of data and little integration of feminist analysis within global health scholarship. Recognising these barriers, this paper applies a gender matrix methodology, grounded in feminist political economy approaches, to evaluate the gendered effects of the COVID-19 pandemic and response in four case studies: China, Hong Kong, Canada, and the UK. Through a rapid scoping of documentation of the gendered effects of the outbreak, it applies the matrix framework to analyse findings, identifying common themes across the case studies: financial discrimination, crisis in care, and unequal risks and secondary effects. Results point to transnational structural conditions which put women on the front lines of the pandemic at work and at home while denying them health, economic and personal security {\textendash} effects that are exacerbated where racism and other forms of discrimination intersect with gender inequities. Given that women and people living at the intersections of multiple inequities are made additionally vulnerable by pandemic responses, intersectional feminist responses should be prioritised at the beginning of any crises.}, + langid = {english}, + keywords = {out::abstract} } @article{Solovieva2009, @@ -10316,7 +10744,8 @@ pages = {463}, issn = {0022166X}, doi = {10.2307/145397}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{Springer1996, @@ -10332,7 +10761,8 @@ issn = {01698141}, doi = {10.1016/0169-8141(95)00045-3}, urldate = {2023-11-24}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Stahl2021, @@ -10348,7 +10778,11 @@ issn = {1053-0487, 1573-3688}, doi = {10.1007/s10926-020-09923-w}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {country::Canada,inequality::income,out::full-text,region::NA,type::ubi}, + note = {looks at inequalities and LM adjacency; +\par +does NOT look at policy impacts (but} } @article{Standing2015, @@ -10362,7 +10796,8 @@ issn = {2194-6094, 1932-0183}, doi = {10.1515/bis-2015-0021}, urldate = {2023-11-20}, - abstract = {Abstract This article argues that the emancipatory value of a basic income is greater than its monetary value, drawing on the results of a large-scale basic income scheme conducted in the Indian State of Madhya Pradesh between 2010 and 2013. The scheme was evaluated by comparing households in villages where everyone received a small cash payment each month with households in similar villages where no one did. The evaluation results showed much stronger than anticipated benefits of a very modest basic income, equivalent to about a third of subsistence. It is argued here that this arises because cash payments alleviate the contrived scarcity of money itself, a cause of chronic indebtedness and impoverishment. Using data and illustrative case studies on debt, savings and financial inclusion, the article demonstrates how a basic income improves economic security beyond its monetary value, which can be termed its emancipatory value. It further concludes that a basic income would have an emancipatory effect for the growing precariat around the world.} + abstract = {Abstract This article argues that the emancipatory value of a basic income is greater than its monetary value, drawing on the results of a large-scale basic income scheme conducted in the Indian State of Madhya Pradesh between 2010 and 2013. The scheme was evaluated by comparing households in villages where everyone received a small cash payment each month with households in similar villages where no one did. The evaluation results showed much stronger than anticipated benefits of a very modest basic income, equivalent to about a third of subsistence. It is argued here that this arises because cash payments alleviate the contrived scarcity of money itself, a cause of chronic indebtedness and impoverishment. Using data and illustrative case studies on debt, savings and financial inclusion, the article demonstrates how a basic income improves economic security beyond its monetary value, which can be termed its emancipatory value. It further concludes that a basic income would have an emancipatory effect for the growing precariat around the world.}, + keywords = {country::India,inequality::income,region::AP,relevant,TODO::full-text,type::ubi} } @article{Stang2010, @@ -10393,7 +10828,8 @@ issn = {0149-4929, 1540-9635}, doi = {10.1080/01494929.2017.1403998}, urldate = {2023-11-24}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Stedham2004, @@ -10440,7 +10876,9 @@ issn = {0276-8739, 1520-6688}, doi = {10.1002/(SICI)1520-6688(200021)19:2<207::AID-PAM3>3.0.CO;2-H}, urldate = {2023-11-20}, - langid = {english} + abstract = {This article examines and compares the spatial distributions of new jobs and people across sub-metropolitan areas for Atlanta, Boston, Detroit, and Los Angeles. The jobs data come from the Multi-City Study of Urban Inequality and the data on people come from the U.S. Bureau of the Census. The results indicate that less-educated people, public assistance recipients, and especially poor females with children mostly reside in areas heavily populated by minorities where the availability of less-skilled jobs is quite low, while the availability of these jobs relative to less-educated people in suburban areas heavily populated by whites is high. Large fractions of the less-skilled jobs in these metropolitan areas are not accessible by public transit. Furthermore, there is significant variation within both central cities and suburbs in the ethnic composition of residents and in less-skilled job availability. The ability of various minority groups to gain employment in each area depends heavily on the ethnic composition of the particular area. {\textcopyright} 2000 by the Association for Public Policy Analysis and Management.}, + langid = {english}, + keywords = {cite::channels,inequality::gender,inequality::racial,inequality::spatial,out::abstract} } @article{Strauser2010, @@ -10472,7 +10910,8 @@ doi = {10.1177/00194662211023845}, urldate = {2023-11-20}, abstract = {The COVID-19 pandemic has left severe impact on livelihood, security and health of informal sector workers, especially domestic workers, majority of whom are women. Being least organised and lacking institutional support, domestic workers are extremely vulnerable to exploitation and human rights violations, and the pandemic has aggravated the situation. Telephonic interviews were conducted with 260 domestic workers from three cities, namely Delhi, Mumbai and Kochi with focus on working conditions, livelihood and household dynamics, health scenario and state support during the pandemic. The data was substantiated with qualitative inputs from in-depth interviews conducted with 12 domestic workers across the cities. In the results, widespread job loss is reported among domestic workers during March{\textendash}June 2020 along with drastically reduced income and increased workload. About 57\% domestic workers reported stigma and discrimination at workplace, and 40\% worked without any safety measures. Incidence of domestic violence at home, increased work burden at home, issues in access to health care, etc., were reported. The study findings point out the urgent need to have a national-level policy and state support specifically targeting women domestic workers, without which the situation of poverty, health hazards and social exclusion will continue to exist. JEL Code: J4, J46}, - langid = {english} + langid = {english}, + keywords = {country::India,out::abstract,region::AP} } @article{Sundstrom1992, @@ -10487,7 +10926,8 @@ issn = {0168-6577, 1572-9885}, doi = {10.1007/BF01797210}, urldate = {2023-11-24}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Sung2015, @@ -10502,7 +10942,9 @@ issn = {0162-3257, 1573-3432}, doi = {10.1007/s10803-015-2480-z}, urldate = {2023-11-24}, - langid = {english} + abstract = {As males and females with autism spectrum disorder (ASD) experience different symptomology, their needs for vocational rehabilitation (VR) are unique as they transition into adulthood. This study examined the effects of gender differences in VR service predictors on employment outcomes for transition-aged individuals with ASD. A total of 1696 individuals (857 males and 839 females) were analyzed from a sample of RSA-911 data of FY 2011. Hierarchical logistic regression analyses were conducted. Results revealed both gender-independent VR service predictors (with job placement and on-the-job supports more beneficial for both genders) and gender-specific predictors of employment (with counseling and guidance, job search assistance, and other services more beneficial for the male group). This study provides support for individualized gender-specific VR services for people with ASD.}, + langid = {english}, + keywords = {cite::channels,inequality::disability,inequality::gender,out::abstract} } @article{Swarna2022, @@ -10519,7 +10961,8 @@ doi = {10.1371/journal.pone.0266014}, urldate = {2023-11-20}, abstract = {The COVID-19 pandemic put dents on every sector of the affected countries, and the informal sector was no exception. This study is based on the quantitative analyses of the primary data of 1,867 informal workers of Bangladesh to shed light on the impact of the pandemic-induced economic crisis on this working class. The survey was conducted between 8 July and 13 August 2020 across the eight administrative divisions of the country. Analysis points out that about ninety percent of these workers faced an income and food expenditure drop during the lockdown. The effect was higher in males, particularly among the urban-centric and educated males engaged in services and sales. The findings suggest that policy support is needed for the informal workers to face such a crisis.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Tabassum2021, @@ -10535,7 +10978,8 @@ doi = {10.1108/MHRJ-07-2020-0042}, urldate = {2023-11-20}, abstract = {Purpose COVID-19 pandemic has caused serious threat to peoples' physical and mental health because of its high death toll all over the world within a very short period. As a result, people may be psychologically stressed, which can affect their quality of life. The main purpose of this study is to quantify the level of stress among the adults (age 18 and above) including all gender, religions and races of Bangladesh during this devastating pandemic. Design/methodology/approach This online survey-based study collected demographic data and the Perceived Stress Scale (PSS-10) to determine stress levels over past one month. The total numbers of respondents are 1,148 from May 29, 2020 to June 12, 2020; using the PSS to assess stress levels and to identify the potential variables having association with level of psychological stress, multinomial logistic regression analysis was performed. Findings A scary proportion (81\%) of respondents suffered from substantial amount psychological stress during this COVID-19 pandemic. It is an undeniable signal for us that, every 4 out of 5 respondents in our study is suffering from different level of psychological stress during this time. Comparing the level of stress, this study finds that elderly (60 and above), women, front-line workers (doctor and other health-care professionals) and second-line workers (public service holders, police and defense and banks or financial institutes) have high psychological stress compared to the other respondents. Originality/value This study will help policymakers to provide relevant mental health intervention strategies to cope with this challenge efficiently.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Tam2011, @@ -10611,7 +11055,8 @@ doi = {10.1186/s12888-021-03243-w}, urldate = {2023-11-20}, abstract = {Abstract Background Healthcare workers (HCWs) who are in the frontline during the COVID-19 pandemic are often under significant pressures that may predispose them to symptoms of poor mental health. This study aimed to investigate the prevalence of anxiety and depression among HCWs and factors correlated with mental health concerns during the COVID-19 pandemic in Bangladesh.~And, it also aimed~to evaluate the psychometric properties of the Bangla version of the Hospital Anxiety and Depression Scale (HADS). Methods A cross-sectional survey was conducted between July and August, 2020. A self-reported online questionnaire was utilized to collect data. The survey included questions concerning socio-demographic, lifestyle, and work setting, as well as the HADS.~A confirmatory factor analysis (CFA) and multiple linear regression analysis were performed. Results Data from 803 HCWs (50.7\% male; mean age: 27.3 [SD~=~6.9]; age range: 18-58 years) were included in the final~analysis.~The Bangla HADS was psychometrically sound, and demonstrated good internal consistency and reliability ({$\alpha$} = 0.83), and excellent construct validity. Prevalence estimates of anxiety and depression were 69.5\%, and 39.5\%, respectively, for less severe symptomology (at least borderline abnormal), and 41.2\% and 15.7\% for more severe (at least abnormal) symptomology. Regression analyses with the total HADS score as a dependent variable revealed significant ( p~ {$<~$}0.05) associations with female gender, moderate and poor health status, infrequent physical exercising, smoking, having had regrets about one's profession because of the pandemic and associated experiences, not updating on the latest COVID-19-related research, experiencing discrimination in the workplace, and facing social problems due to working in a lab or hospital during the COVID-19 pandemic. Conclusions Symptoms of anxiety and depression are prevalent among HCWs during the COVID-19 pandemic in Bangladesh. The findings suggest a need for screening for mental health concerns, and employing early intervention to help these individuals.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Tazerji2022, @@ -10625,7 +11070,8 @@ issn = {24520144}, doi = {10.1016/j.genrep.2022.101505}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Tekin2005, @@ -10657,7 +11103,8 @@ doi = {10.1111/inm.13009}, urldate = {2023-11-20}, abstract = {ABSTRACT Lockdown and social distancing measures during the COVID-19 pandemic increase women's responsibilities and influence their mental health. This study aimed to assess the effect of COVID-19 social distancing measures on mental well-being and burnout levels of women using an online cross-sectional survey in Turkey. The Warwick-Edinburgh Mental Well-being Scale, The Burnout Measure, and Sociodemographic form were used in this study. All analyses were performed on a sample of 438 women aged between 18 and 65. The mean score of mental well-being was 47.86 ( SD = 10.04) and the mean score of burnout was 3.86 ( SD = 1.16). Being younger than 30\,years old ( t \,=\,2.14, P \,=\,0.033), having undergraduate education or above ( F \,=\,5.09, P \,=\,0.007), part-time working ( F \,=\,5.39, P \,=\,0.005), attending to school ( t \,=\,2.68, P \,=\,0.008), having COVID-19 symptoms ( t \,=\,6.01, P \,{$<$}\,0.001), and perceiving spousal emotional support ( F \,=\,3.47, P \,=\,0.016) were the factors associated with high burnout. Being older than 30\,years old ( z \,=\,-3.11, P \,=\,0.002), full time working ( H \,=\,11.96, P \,=\,0.003), not attending to school ( z \,=\,-2.09, P \,=\,0.036), perceiving spousal emotional ( H \,=\,13.22, P \,=\,0.004), or social ( H \,=\,13.11, P \,=\,0.004) support were the factors associated with higher mental well-being. Age ( {$\beta$} = -0.03, P \,=\,0.001), having two or more children ( {$\beta$} \,=\,0.42, P\,=\, 0.015), and perceiving COVID-19 symptoms ( {$\beta$} = -0.73, P\,{$<$}\, 0.001) were the predictors of women's burnout. This study shows that mental well-being and burnout levels of women in Turkey have been considerably affected as a result of social distancing measures taken with the first wave of the pandemic. Findings signal the immediate need for targeted mental health nursing interventions. Therefore, technology-based mental health support programmes are recommended to be designed and utilized by mental health nurses.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Teng2014, @@ -10672,7 +11119,8 @@ issn = {0143-005X, 1470-2738}, doi = {10.1136/jech-2013-203116}, urldate = {2023-11-24}, - langid = {english} + langid = {english}, + keywords = {out::title,review::systematic} } @article{TenKaten2011, @@ -10704,7 +11152,8 @@ doi = {10.1002/ijgo.13566}, urldate = {2023-11-20}, abstract = {Abstract Objective To assess the incidence and predictors of intimate partner violence (IPV) during pregnancy amidst the coronavirus disease 2019 pandemic. Methods This cross-sectional study was conducted at the prenatal care clinic of St. Paul's Hospital Millennium Medical College (SPHMMC), Addis Ababa, Ethiopia, among pregnant women from 31 August to 2 November 2020. Participants were interviewed using Open Data Kit. Logistic regression was used to assess predictors. Results Among the 464 pregnant women, 33 (7.1\%) reported IPV during pregnancy, and among these 24 (72.7\%) reported emotional violence, 16 (48.5\%) reported sexual violence, and 10 (30.3\%) reported physical violence. Among the study participants, only 8 (1.7\%) were screened for IPV. IPV was reported 3.27 times more often by women who reported that their partner chewed Khat compared with those women whose partner did not (adjusted odds ratio [aOR] 3.27; 95\% confidence interval [CI] 1.45{\textendash}7.38), and 1.52 times more often women who reported that their partner drank alcohol compared with those women whose partner did not (aOR 1.52; 95\% CI 1.01{\textendash}2.28). Conclusion Very few women were screened for IPV. Partners drinking alcohol and chewing Khat are significantly positively associated with IPV during pregnancy. IPV screening should be included in the national management protocol of obstetric cases of Ethiopia. , Very few women were screened for intimate partner violence during pregnancy, a finding that has implications for policy moving forward.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Thackwell2016, @@ -10735,7 +11184,8 @@ issn = {01406736}, doi = {10.1016/S0140-6736(19)30239-9}, urldate = {2023-11-24}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Thompson2019, @@ -10751,7 +11201,9 @@ issn = {1935-990X, 0003-066X}, doi = {10.1037/amp0000468}, urldate = {2023-11-20}, - langid = {english} + abstract = {This article synthesizes the work-related dynamics that contribute to economic inequality and identifies ways for psychologists to offer their expertise to mitigate poverty through employment and re-employment. We summarize scholarship from subspecialties under the umbrella of work psychology to explore concepts germane to understanding unemployment, underemployment, and reemployment. The review and synthesis is organized around 4 primary themes that concern the relationships between work, economic inequality, and poverty. First, unemployment has devastating financial and psychological consequences for individuals, families, and communities. Second, reemployment is challenging to acquire but crucial to recovering from unemployment and escaping poverty. Third, systemic and societal factors, such as employment bias and gaps in employment law, shape and constrain employment processes for individuals and organizations. Fourth, the nature of employment is changing because of technological advances, growth in the contingent labor force, and globalized business relationships that introduce new concerns for underemployment, unemployment, and reemployment processes for individuals. We conclude by charting important directions for future research, describing promising interventions for practitioners, and summarizing opportunities for psychologists to apply their knowledge and expertise to support policies that can alleviate poverty. (APA PsycInfo Database Record (c) 2019 APA, all rights reserved)}, + langid = {english}, + keywords = {cite::channels,country::US,inequality::poverty,method::qualitative,out::abstract,region::NA} } @article{Tienda1996, @@ -10766,7 +11218,8 @@ pages = {147--165}, issn = {00377791, 15338533}, doi = {10.2307/3096995}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{Tilak2002, @@ -10843,7 +11296,8 @@ doi = {10.1111/issj.12267}, urldate = {2023-11-20}, abstract = {Abstract Working women face various challenges regarding work-family balance due to societal, cultural, family, and gender norms. These challenges have become more difficult since the emergence of COVID-19 worldwide. This qualitative research addresses work-family issues of working women in the distinct Bangladeshi socio-cultural context. Guided by a thematic analysis, this study explores various driving forces and challenges faced by working women, and strategies adopted by women to manage work-family obligations. The findings reveal flexibility and homeworking, family and spousal support, and organisational support as key driving forces for women's work-life balance during the COVID-19. Lack of available time, socio-cultural and family norms, and gender stereotypes are key challenges women face in a Muslim patriarchal societal context. Effective time management, stress management, keeping husbands and family members happy, sustainable management of professional and personal lives, and listing out priorities are useful techniques women adopt to integrate work-family commitments. The findings provide potential solutions for women to effectively manage work-family responsibilities in a patriarchal societal context.}, - langid = {english} + langid = {english}, + keywords = {cite::channels,country::Bangladesh,inequality::gender,out::abstract,region::AP} } @article{Ullah2020, @@ -10857,7 +11311,8 @@ issn = {2296-2565}, doi = {10.3389/fpubh.2020.578438}, urldate = {2023-11-20}, - abstract = {Here, we examine the potential effect of the COVID-19 pandemic on future birth rates. This highly contagious disease originated in China, and rapidly spread worldwide, leading to extensive lockdown policies being implemented globally with the aim of containing the infection rates and its serious attendant consequences. Based on previous extant literature, this paper overviews the potential demographic consequences of the current progressively widespread epidemic on conception and fertility as driven by the data obtained during similar prior incidents. In general, epidemics manifest a common pattern as far as their impact on population, which is remarkably similar to natural disasters, i.e., a steep decline in birth rates followed by gradual increases and then followed by a baby boom. Additionally, we have also depicted how economic conditions, mental health, fear, and mortality may also influence future birth rates.} + abstract = {Here, we examine the potential effect of the COVID-19 pandemic on future birth rates. This highly contagious disease originated in China, and rapidly spread worldwide, leading to extensive lockdown policies being implemented globally with the aim of containing the infection rates and its serious attendant consequences. Based on previous extant literature, this paper overviews the potential demographic consequences of the current progressively widespread epidemic on conception and fertility as driven by the data obtained during similar prior incidents. In general, epidemics manifest a common pattern as far as their impact on population, which is remarkably similar to natural disasters, i.e., a steep decline in birth rates followed by gradual increases and then followed by a baby boom. Additionally, we have also depicted how economic conditions, mental health, fear, and mortality may also influence future birth rates.}, + keywords = {out::title} } @article{Uribe2019, @@ -10872,7 +11327,9 @@ issn = {0305750X}, doi = {10.1016/j.worlddev.2019.05.007}, urldate = {2023-11-24}, - langid = {english} + abstract = {We estimate the impact on female labor outcomes of the extension in maternity leave period from 12 to 14\,weeks, an amendment to the Colombian labor law in 2011. To identify this impact, we compare labor market outcomes of different groups of individuals with women of child-bearing age. First we compared two groups of women with different fertility rates (low elasticity of substitution), finding that, as result of the extension, women in the high-fertility age group experience an increase in inactivity, informality, and self-employment. When comparing high-fertility age women with men in the same age group (high elasticity of substitution), we find that the extension increases the probability of unemployment, informality and self-employment and decreases wages of women compared with men.}, + langid = {english}, + keywords = {country::Colombia,inequality::gender,inequality::income,region::LAC,TODO::full-text,type::maternity\_benefit} } @article{Usher2020, @@ -10888,7 +11345,8 @@ issn = {0962-1067, 1365-2702}, doi = {10.1111/jocn.15290}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Vahtera2009, @@ -10919,7 +11377,8 @@ issn = {24058440}, doi = {10.1016/j.heliyon.2021.e06491}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {inequality::gender,out::title} } @article{VanBlerk2008, @@ -10952,7 +11411,8 @@ issn = {2059-7908}, doi = {10.1136/bmjgh-2020-003549}, urldate = {2023-11-24}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{VanDerHeide2013, @@ -10999,7 +11459,8 @@ issn = {0258-851X, 1791-7549}, doi = {10.21873/invivo.11957}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{VanRensburg2014, @@ -11014,7 +11475,9 @@ issn = {1478-4491}, doi = {10.1186/1478-4491-12-26}, urldate = {2023-11-24}, - langid = {english} + abstract = {The purpose of this contribution is to analyse and explain the South African HRH case, its historical evolution, and post-apartheid reform initiatives aimed at addressing deficiencies and shortfalls. HRH in South Africa not only mirrors the nature and diversity of challenges globally, but also the strategies pursued by countries to address these challenges. Although South Africa has strongly developed health professions, large numbers of professional and mid-level workers, and also well-established training institutions, it is experiencing serious workforce shortages and access constraints. This results from the unequal distribution of health workers between the well-resourced private sector over the poorly-resourced public sector, as well as from distributional disparities between urban and rural areas. During colonial and apartheid times, disparities were aggravated by policies of racial segregation and exclusion, remnants of which are today still visible in health-professional backlogs, unequal provincial HRH distribution, and differential access to health services for specific race and class groups.}, + langid = {english}, + keywords = {cite::channels,country::South\_Africa,inequality::health,inequality::income,method::qualitative,region::SSA,TODO::full-text} } @article{VanTulder2003, @@ -11150,7 +11613,9 @@ journal = {IZA World of Labor}, issn = {20549571}, doi = {10.15185/izawol.87}, - urldate = {2023-11-24} + urldate = {2023-11-24}, + abstract = {While women's labor force participation tends to increase with economic development, the relationship is not straightforward or consistent at the country level. There is considerably more variation across developing countries in labor force participation by women than by men. This variation is driven by a wide variety of economic and social factors, which include economic growth, education, and social norms. Looking more broadly at improving women's access to quality employment, a critical policy area is enhancing women's educational attainment beyond secondary schooling.}, + keywords = {cite::channels,inequality::gender,out::abstract} } @article{Verma2020, @@ -11166,7 +11631,8 @@ doi = {10.1177/0020764020934508}, urldate = {2023-11-20}, abstract = {Background: The severe outbreak of COVID-19 has affected the mental health of Indians. Aim: The objective of this article was to find the prevalence rates of depression, anxiety and stress and their socio-demographic correlates among Indian population during the lockdown to contain the spread of COVID-19. Methods: A cross-sectional survey was conducted using an electronic questionnaire. A total of 354 participants were recruited through convenience sampling. Depression, anxiety and stress were measured using Depression Anxiety Stress Scale (DASS-21), a 21-item self-reported questionnaire. Results: In total, 25\%, 28\% and 11.6\% of the participants were moderate to extremely severely depressed, anxious and stressed, respectively. Binary logistic regressions indicated employment status (odds ratio (OR)\,=\,1.91; 95\% confidence interval (CI): 1.072{\textendash}3.418) and binge drinking (OR\,=\,2.03; 95\% CI: 1.045{\textendash}3.945) were significantly associated with depressive symptoms; gender (OR\,=\,2.17; 95\% CI: 1.317{\textendash}3.589), employment status (OR\,=\,1.77; 95\% CI: 1.002{\textendash}3.141) and binge drinking (OR\,=\,2.62; 95\% CI: 1.361{\textendash}5.048) were significantly associated with anxiety symptoms; and binge drinking (OR\,=\,3.42; 95\% CI: 1.544{\textendash}7.583) was significantly associated with stress symptoms. Conclusion: Depression, anxiety and stress among Indian population during the lockdown were prevalent. Along with other measures to contain the spread of COVID-19, mental health of citizens needs the urgent attention of the Indian government and mental health experts. Further large-scale studies should be conducted on different professions and communities such as health care professionals and migrant workers and incorporate other mental health indicators.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Villanueva-Flores2014, @@ -11182,7 +11648,8 @@ doi = {10.1108/CDI-02-2013-0022}, urldate = {2023-11-24}, abstract = {Purpose {\textendash} Few studies have focussed on the situation of employees with physical disabilities from the perspective of human resources management {\textendash} in particular on the career development expectations of this group. The purpose of this paper is to meet this need by focussing on individuals with physical disabilities in Andalusia (Spain). It analyzes three key aspects: whether the perception of discrimination is related to the perception of inequity due to their disabilities, with this relationship being moderated by gender; whether these perceptions of inequality and discrimination lead to feelings of dissatisfaction with the employing organization; and whether the perception of discrimination mediates the relationship between perceived inequity and job dissatisfaction. Design/methodology/approach {\textendash} Using the theoretical framework of organizational justice, regression analysis is applied to test the hypotheses in a population of 459 employed people with physical disabilities. Findings {\textendash} The results show that perceived discrimination is due to perceived inequity when peers who do not have a disability are used as comparative reference; however, this relationship is not moderated by gender. These perceptions of inequity and discrimination cause individuals to feel dissatisfaction in organizations, and a mediating effect is found for the perception of discrimination in professional development opportunities. The control variables considered, age and education, are not significant in the relationships studied. Originality/value {\textendash} An original and valued model is proposed to explain job dissatisfaction among employees with physical disabilities and the possibility of perceiving a dual disadvantage, in their possibilities for professional development. The model links together three variables that have not previously been linked all together in the literature {\textendash} perceived inequity, perceived discrimination on the grounds of disability, and dissatisfaction {\textendash} highlighting that perceived discrimination on the grounds of disability mediates the relationship between perceived inequity and dissatisfaction. This model can also examine whether a dual disadvantage is perceived owing to an individual's being a woman and having a disability, considering gender as a variable that moderates the relationship between perceived inequity and perceived discrimination on the grounds of disability.}, - langid = {english} + langid = {english}, + keywords = {cite::channels,country::Spain,inequality::disability,out::abstract,region::EU} } @article{Vlasblom2004, @@ -11228,7 +11695,8 @@ issn = {01406736}, doi = {10.1016/S0140-6736(20)30677-2}, urldate = {2023-11-24}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Vong2019, @@ -11244,7 +11712,9 @@ issn = {1472-6963}, doi = {10.1186/s12913-019-4424-3}, urldate = {2023-11-24}, - langid = {english} + abstract = {Background An adequate and qualified health workforce is critical for achieving Universal Health Coverage (UHC) and responding to the Sustainable Development Goals (SDGs). Frontline health workers who are mainly women, play important roles in responses to crisis. Despite women making up the vast majority of the health workforce, men occupy the majority of leadership positions. This study aims to understand the career progression of female health workers by exploring how gender norms influence women's upward career trajectories. Methods A qualitative methodology deployed a life history approach was used to explore the perspectives and experiences of health workers in Battambang province, Cambodia. Twenty male and female health managers were purposively selected based five criteria: age 40 and above, starting their career during 1980s or 1990s, clinical skills, management roles and evidence of career progression. Themes and sub-themes were developed based on available data and informed by Tlaiss's (2013) social theory framework in order to understand how gender norms, roles and relations shape the career of women in the health industry. Results The findings from life histories show that gender norms shape men's and women's career progression at different levels of society. At the macro level, social, cultural, political, and gender norms are favorably changing by allowing more women to enter medical education; however, leadership is bias towards men. At the meso organziational level, empowerment of women in the health sector has increased with the support of gender working groups and women's associations. At the micro individual level, female facility managers identified capacity and qualifications as important factors in helping women to obtain leadership positions. Conclusion While Cambodia has made progress, it still has far to go to achieve equality in leadership. Promoting gender equity in leadership within the health workforce requires a long vision and commitment along with collaboration among different stakeholders and across social structures. If more women are not able to obtain leadership roles, the goals of having an equitable health system, promoting UHC, and responding to the SDGs milestones by leaving no one behind will remain unattainable objectives.}, + langid = {english}, + keywords = {cite::channels,country::Cambodia,inequality::gender,out::abstract,region::AP} } @article{Vyas2009, @@ -11278,7 +11748,8 @@ doi = {10.1177/000169939603900201}, urldate = {2023-11-20}, abstract = {The resurgence of extreme poverty and destitution, ethnoracial divisions (linked to the colonial past) and public violence, and their accumulation in the same distressed urban areas, suggest that the metropolis is the site and fount of novel forms of exclusionary social closure in advanced societies. This paper essays an ideal-typical characterization of this new, rising regime of urban marginality by contrasting it with selected features of urban poverty in the postwar era of Fordist growth. Six distinctive features of advanced marginality are proposed: the growing internal heterogeneity and desocialization of labor, the functional disconnection of neighborhood conditions from macro-economic trends; territorial fixation and stigmatization; spatial alienation and the dissolution of place; the loss of a viable hinterland; and the symbolic fragmentation of marginalized populations. The paper concludes with a discussion of the implications of the rise of advanced marginality for social analysis and policy, including the need to break out of the market-and-state paradigm and to sever the link between work and subsistence via the institution of a citizen's wage.}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Wacquant1999, @@ -11294,7 +11765,8 @@ doi = {10.1080/0042098992746}, urldate = {2023-11-20}, abstract = {This paper sketches a characterisation of the regime of urban marginality that has emerged in advanced societies since the close of the Fordist era, highlighting four logics that combine to produce it: a macrosocietal drift towards inequality, the mutation of wage labour (entailing both deproletarianisation and casualisation), the retrenchment of welfare states, and the spatial concentration and stigmatisation of poverty. The rise of this new marginality does not signal a transatlantic convergence on the American pattern: European neighbourhoods of relegation are deeply penetrated by the state and ethnoracial tensions in them are fuelled, not by the growing gap between immigrants and natives, but by their increasing propinquity in social and physical space. To cope with emergent forms of urban marginality, societies face a three-pronged alternative: they can patch up existing programmes of the welfare state, criminalise poverty via the punitive containment of the poor, or institute new social rights that sever subsistence from performance in the labour market.}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Wagner2014, @@ -11310,7 +11782,11 @@ doi = {10.1177/2165143414523980}, urldate = {2023-11-24}, abstract = {Using data from the National Longitudinal Transition Study{\textendash}2, this study considers (a) the extent to which the socioeconomic status (SES) of youth with disabilities predicted their likelihood of high school graduation, postsecondary education enrollment, and employment; (b) the extent to which other individual and family factors mediated the SES{\textendash}outcome relationships; and (c) other factors that significantly explained outcome variations for youth with disabilities. Results show that SES had a statistically significant but relatively small effect on outcomes, to a sizable extent the effect of SES was mediated by other factors, and many of the covariates in the analyses (e.g., disability type and severity, gender, race/ethnicity) had their own significant relationships with outcomes that contribute to our understanding of variations in them.}, - langid = {english} + langid = {english}, + keywords = {out::abstract}, + note = {looks at LM adjacent outcomes, inequality, socio-economic determinants; +\par +does NOT look at specific policy interventions} } @article{Wagstaff1991, @@ -11341,7 +11817,8 @@ doi = {10.1257/jep.12.1.137}, urldate = {2023-11-24}, abstract = {As the gender gap in pay between women and men has been narrowing, the 'family gap' in pay between mothers and nonmothers has been widening. One reason may be the institutional structure in the United States, which has emphasized equal pay and opportunity policies but not family policies, in contrast to other countries that have implemented both. The authors now have evidence on the links between one such family policy and women's pay. Recent research suggests that maternity leave coverage, by raising women's retention after childbirth, also raises women's levels of work experience, job tenure, and pay.}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Waldinger1997, @@ -11358,7 +11835,8 @@ doi = {10.2307/1389448}, urldate = {2023-11-20}, abstract = {This paper reports on a survey of employers to assess the impact of immigration and employer practices on black employment chances in Los Angeles. We observe a process of cumulative causation in which a set of mutually reinforcing changes raise barriers to the hiring of blacks. Network hiring seems to have a dual function, bringing immigrant communities into the workplace, while at the same time detaching vacancies from the open market, thus diminishing opportunities for blacks. Employers also perceive immigrants as far more desirable employees than blacks, in part, because they expect that immigrants will be the more productive workers, in part, because they also see immigrants as more tractable labor. Any managerial propensity to favor immigrants is likely to be reinforced by the attitudes of the predominantly Latino workforce, as inserting a black worker in a predominantly Latino crew is not a technique for increasing productivity, given the hostility between the two groups. And African-Americans seem to play their own role in this process, apparently opting out of the low-level labor market in response to rising expectations, on the one hand, and the anticipation of employment difficulties on the other.}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Wallace1995, @@ -11372,7 +11850,8 @@ pages = {S84}, issn = {0022166X}, doi = {10.2307/146279}, - urldate = {2023-11-24} + urldate = {2023-11-24}, + keywords = {issue::age,out::year} } @article{Wang2007, @@ -11438,7 +11917,9 @@ issn = {01406736}, doi = {10.1016/S0140-6736(19)30765-2}, urldate = {2023-11-24}, - langid = {english} + abstract = {Despite global commitments to achieving gender equality and improving health and wellbeing for all, quantitative data and methods to precisely estimate the effect of gender norms on health inequities are underdeveloped. Nonetheless, existing global, national, and subnational data provide some key opportunities for testing associations between gender norms and health. Using innovative approaches to analysing proxies for gender norms, we generated evidence that gender norms impact the health of women and men across life stages, health sectors, and world regions. Six case studies showed that: (1) gender norms are complex and can intersect with other social factors to impact health over the life course; (2) early gender-normative influences by parents and peers can have multiple and differing health consequences for girls and boys; (3) non-conformity with, and transgression of, gender norms can be harmful to health, particularly when they trigger negative sanctions; and (4) the impact of gender norms on health can be context-specific, demanding care when designing effective gender-transformative health policies and programmes. Limitations of survey-based data are described that resulted in missed opportunities for investigating certain populations and domains. Recommendations for optimising and advancing research on the health impacts of gender norms are made.}, + langid = {english}, + keywords = {inequality::gender,inequality::health,out::abstract} } @article{Weiss1976, @@ -11453,7 +11934,8 @@ pages = {593--608}, issn = {00377791, 15338533}, doi = {10.2307/800481}, - urldate = {2023-11-24} + urldate = {2023-11-24}, + keywords = {issue::age,out::year} } @article{Weiss1980, @@ -11468,7 +11950,8 @@ pages = {611}, issn = {0022166X}, doi = {10.2307/145404}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{Welch2009, @@ -11500,7 +11983,8 @@ pages = {641}, issn = {0022166X}, doi = {10.2307/145405}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{West1980a, @@ -11515,7 +11999,8 @@ pages = {574}, issn = {0022166X}, doi = {10.2307/145402}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{Westerlund2009, @@ -11577,7 +12062,9 @@ issn = {0305750X}, doi = {10.1016/j.worlddev.2019.104732}, urldate = {2023-11-24}, - langid = {english} + abstract = {Workers' mistreatment is a serious problem, particularly for disadvantaged populations in the global garment supply chain who are often subjected to human and labor rights violations. Workplace abuses are believed to originate from human resource management practices, which aim to reduce production costs and achieve inflated production targets. Improvements in worker well-being are often perceived as costs rather than investments. Family life might be an equally important contributor to workers' well-being and factory outcomes, yet its impact often remains completely beyond the scope of interest of local factory management and the leadership of companies at the top of the supply chain. This study addressed the prevalence of workplace harassment (WH) and domestic violence (DV) in the garment industry in Mexico, Sri Lanka, China and Cambodia and the impacts of WH and DV on outcomes related to withdrawal from work (intentions to leave, quitting, and limited abilities to perform usual tasks), work attitudes (work engagement and job satisfaction) and self-reported work quality. Survey data from 5328 garment industry workers from four countries and information from personnel files are used. The relationships are modelled using linear, logistic or Cox proportional hazard regressions. The results from the longitudinal subsample substantiate the robustness of the findings. WH and DV are found to be significant stressors and affect withdrawal from work, work attitudes and work quality. Contrary to common belief, the findings do not reveal that WH and DV contribute to decisions to quit; however, they were found to impact intentions to leave. The results from the longitudinal sample corroborate the influence of WH and DV on work outcomes. The results of this study convey a message to global brands and factory managers to foster worker well-being, which may improve factory performance.}, + langid = {english}, + keywords = {cite::channels,country::Cambodia,country::China,country::Mexico,country::Sri\_Lanka,inequality::socio-demographic,out::abstract,region::AP,region::LAC} } @article{Wheaton1990, @@ -11593,7 +12080,8 @@ pages = {209}, issn = {00031224}, doi = {10.2307/2095627}, - urldate = {2023-11-24} + urldate = {2023-11-24}, + keywords = {issue::age,out::year} } @article{Whittemore2005, @@ -11637,9 +12125,11 @@ address = {{Cham}}, doi = {10.1007/978-3-030-03849-6_1}, urldate = {2023-11-20}, + abstract = {This chapter introduces and previews the book with a broad overview of the problems involved in conducting Universal Basic Income (UBI) experiments and in reporting the results in ways that successfully increase public understanding of the issue. It argues that experimenters should work backward from the big ``bottom-line questions'' that are most important to the public discussion of UBI to the variables that tests can actually address, and then forward again, closely explaining the relationship between experimental findings and the things people discussing UBI as a potential national policy really want to know.}, collaborator = {Widerquist, Karl}, isbn = {978-3-030-03848-9 978-3-030-03849-6}, - langid = {english} + langid = {english}, + keywords = {out::full-text,review::critical} } @article{Williams2013, @@ -11672,7 +12162,8 @@ issn = {0013-0079, 1539-2988}, doi = {10.1086/451997}, urldate = {2023-11-24}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{WonKim2010, @@ -11711,7 +12202,8 @@ unique-id = {WOS:000074906000002}, usage-count-last-180-days = {0}, usage-count-since-2013 = {6}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {issue::age,out::year} } @article{WOS:000076158900009, @@ -11733,7 +12225,8 @@ unique-id = {WOS:000076158900009}, usage-count-last-180-days = {0}, usage-count-since-2013 = {5}, - web-of-science-categories = {Infectious Diseases; Respiratory System} + web-of-science-categories = {Infectious Diseases; Respiratory System}, + keywords = {issue::age,out::year} } @article{WOS:000076715600003, @@ -11756,7 +12249,8 @@ unique-id = {WOS:000076715600003}, usage-count-last-180-days = {0}, usage-count-since-2013 = {13}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {issue::age,out::year} } @article{WOS:000080028000001, @@ -11779,7 +12273,8 @@ unique-id = {WOS:000080028000001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {67}, - web-of-science-categories = {Gerontology} + web-of-science-categories = {Gerontology}, + keywords = {issue::age,out::year} } @article{WOS:000080311700012, @@ -11803,6 +12298,7 @@ usage-count-last-180-days = {0}, usage-count-since-2013 = {4}, web-of-science-categories = {Economics}, + keywords = {issue::age,out::year}, note = {13th Annual Congress of the European-Economic-Association, BERLIN, GERMANY, SEP 02-05, 1998} } @@ -11826,7 +12322,8 @@ unique-id = {WOS:000080763300005}, usage-count-last-180-days = {0}, usage-count-since-2013 = {22}, - web-of-science-categories = {Anthropology; Sociology} + web-of-science-categories = {Anthropology; Sociology}, + keywords = {issue::age,out::year} } @article{WOS:000081269800003, @@ -11849,7 +12346,8 @@ unique-id = {WOS:000081269800003}, usage-count-last-180-days = {1}, usage-count-since-2013 = {15}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {issue::age,out::year} } @article{WOS:000083433400006, @@ -11873,7 +12371,8 @@ unique-id = {WOS:000083433400006}, usage-count-last-180-days = {0}, usage-count-since-2013 = {4}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {issue::age,out::year} } @article{WOS:000084333500002, @@ -11896,7 +12395,8 @@ unique-id = {WOS:000084333500002}, usage-count-last-180-days = {0}, usage-count-since-2013 = {3}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {issue::age,out::year} } @article{WOS:000085518400001, @@ -11918,7 +12418,8 @@ unique-id = {WOS:000085518400001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {56}, - web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services} + web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services}, + keywords = {inequality::income,out::abstract} } @article{WOS:000086660200002, @@ -11942,7 +12443,8 @@ unique-id = {WOS:000086660200002}, usage-count-last-180-days = {0}, usage-count-since-2013 = {4}, - web-of-science-categories = {Economics; Regional \& Urban Planning} + web-of-science-categories = {Economics; Regional \& Urban Planning}, + keywords = {out::title} } @article{WOS:000088377500007, @@ -11965,7 +12467,8 @@ unique-id = {WOS:000088377500007}, usage-count-last-180-days = {1}, usage-count-since-2013 = {32}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {out::abstract} } @article{WOS:000089042500004, @@ -11988,7 +12491,8 @@ unique-id = {WOS:000089042500004}, usage-count-last-180-days = {0}, usage-count-since-2013 = {23}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {cite::channels,country::Britain,inequality::gender,out::abstract} } @article{WOS:000089173600002, @@ -12012,6 +12516,7 @@ usage-count-last-180-days = {0}, usage-count-since-2013 = {5}, web-of-science-categories = {Economics}, + keywords = {out::title}, note = {Trans-Atlantic Public Economics Seminar (TAPES), FREDERIKSDAL, DENMARK, MAY 21-23, 1998} } @@ -12035,7 +12540,8 @@ unique-id = {WOS:000089745400002}, usage-count-last-180-days = {0}, usage-count-since-2013 = {13}, - web-of-science-categories = {Development Studies; Economics; Urban Studies} + web-of-science-categories = {Development Studies; Economics; Urban Studies}, + keywords = {out::title} } @article{WOS:000089785600016, @@ -12059,7 +12565,8 @@ unique-id = {WOS:000089785600016}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Public, Environmental \& Occupational Health; Medicine, General \& Internal} + web-of-science-categories = {Public, Environmental \& Occupational Health; Medicine, General \& Internal}, + keywords = {out::title} } @article{WOS:000089840900004, @@ -12083,7 +12590,8 @@ unique-id = {WOS:000089840900004}, usage-count-last-180-days = {0}, usage-count-since-2013 = {7}, - web-of-science-categories = {Public, Environmental \& Occupational Health; Social Sciences, Biomedical} + web-of-science-categories = {Public, Environmental \& Occupational Health; Social Sciences, Biomedical}, + keywords = {out::title} } @article{WOS:000089872300002, @@ -12107,7 +12615,8 @@ unique-id = {WOS:000089872300002}, usage-count-last-180-days = {0}, usage-count-since-2013 = {7}, - web-of-science-categories = {Geography; Regional \& Urban Planning; Urban Studies} + web-of-science-categories = {Geography; Regional \& Urban Planning; Urban Studies}, + keywords = {out::abstract} } @article{WOS:000165148400011, @@ -12130,7 +12639,8 @@ unique-id = {WOS:000165148400011}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Rehabilitation} + web-of-science-categories = {Rehabilitation}, + keywords = {out::title} } @article{WOS:000165492300005, @@ -12153,7 +12663,8 @@ unique-id = {WOS:000165492300005}, usage-count-last-180-days = {0}, usage-count-since-2013 = {18}, - web-of-science-categories = {Business; Management} + web-of-science-categories = {Business; Management}, + keywords = {cite::channels,country::Britain,inequality::gender,out::abstract,region::EU} } @article{WOS:000165819800001, @@ -12177,6 +12688,7 @@ usage-count-last-180-days = {0}, usage-count-since-2013 = {20}, web-of-science-categories = {Sociology}, + keywords = {inequality::gender,out::abstract}, note = {Annual Meeting of the Australian-Sociological-Association, UNIV WOLLONGONG, WOLLONGONG, AUSTRALIA, DEC 09-12, 1997} } @@ -12201,7 +12713,8 @@ unique-id = {WOS:000165867600039}, usage-count-last-180-days = {0}, usage-count-since-2013 = {13}, - web-of-science-categories = {Medicine, General \& Internal} + web-of-science-categories = {Medicine, General \& Internal}, + keywords = {out::title} } @article{WOS:000165962500013, @@ -12224,7 +12737,8 @@ unique-id = {WOS:000165962500013}, usage-count-last-180-days = {0}, usage-count-since-2013 = {68}, - web-of-science-categories = {Public, Environmental \& Occupational Health; Social Sciences, Biomedical} + web-of-science-categories = {Public, Environmental \& Occupational Health; Social Sciences, Biomedical}, + keywords = {cite::channels,inequality::income,out::abstract} } @article{WOS:000166022000004, @@ -12248,7 +12762,8 @@ unique-id = {WOS:000166022000004}, usage-count-last-180-days = {0}, usage-count-since-2013 = {15}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::channels,inequality::generational,inequality::income,out::abstract,type::child\_labor} } @article{WOS:000166098900005, @@ -12271,7 +12786,8 @@ unique-id = {WOS:000166098900005}, usage-count-last-180-days = {0}, usage-count-since-2013 = {11}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {country::China,out::abstract,region::AP} } @article{WOS:000169692500007, @@ -12294,7 +12810,8 @@ unique-id = {WOS:000169692500007}, usage-count-last-180-days = {0}, usage-count-since-2013 = {19}, - web-of-science-categories = {Economics; Women's Studies} + web-of-science-categories = {Economics; Women's Studies}, + keywords = {inequality::gender,inequality::income,method::qualitative,TODO::full-text,type::ubi} } @article{WOS:000170945900003, @@ -12317,7 +12834,8 @@ unique-id = {WOS:000170945900003}, usage-count-last-180-days = {1}, usage-count-since-2013 = {34}, - web-of-science-categories = {Economics; Industrial Relations \& Labor; Sociology} + web-of-science-categories = {Economics; Industrial Relations \& Labor; Sociology}, + keywords = {cite::channels,country::Britain,inequality::gender,inequality::income,out::abstract,region::EU} } @article{WOS:000171271400003, @@ -12340,7 +12858,8 @@ unique-id = {WOS:000171271400003}, usage-count-last-180-days = {1}, usage-count-since-2013 = {12}, - web-of-science-categories = {Agricultural Economics \& Policy; Economics; Food Science \& Technology; Nutrition \& Dietetics} + web-of-science-categories = {Agricultural Economics \& Policy; Economics; Food Science \& Technology; Nutrition \& Dietetics}, + keywords = {out::abstract} } @article{WOS:000171386100003, @@ -12363,7 +12882,8 @@ unique-id = {WOS:000171386100003}, usage-count-last-180-days = {0}, usage-count-since-2013 = {5}, - web-of-science-categories = {Economics; Women's Studies} + web-of-science-categories = {Economics; Women's Studies}, + keywords = {country::Australia,inequality::gender,region::AP,TODO::full-text,type::collective\_action,type::trade\_liberalization} } @article{WOS:000171729700010, @@ -12386,7 +12906,8 @@ unique-id = {WOS:000171729700010}, usage-count-last-180-days = {0}, usage-count-since-2013 = {11}, - web-of-science-categories = {Economics; Environmental Studies; Geography; Regional \& Urban Planning} + web-of-science-categories = {Economics; Environmental Studies; Geography; Regional \& Urban Planning}, + keywords = {country::Britain,inequality::income,inequality::spatial,region::EU,relevant,TODO::full-text,type::minimum\_wage} } @article{WOS:000173014000005, @@ -12410,6 +12931,7 @@ usage-count-last-180-days = {0}, usage-count-since-2013 = {17}, web-of-science-categories = {Geography}, + keywords = {out::title}, note = {97th Annual Meeting of the Association-of-American-Geographers, NEW YORK, NY, FEB 27-MAR 03, 2001} } @@ -12433,7 +12955,8 @@ unique-id = {WOS:000174373300006}, usage-count-last-180-days = {2}, usage-count-since-2013 = {13}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {cite::channels,inequality::racial,out::abstract,type::collective\_action} } @article{WOS:000174600700003, @@ -12569,7 +13092,8 @@ unique-id = {WOS:000176973600004}, usage-count-last-180-days = {1}, usage-count-since-2013 = {16}, - web-of-science-categories = {Industrial Relations \& Labor; Sociology} + web-of-science-categories = {Industrial Relations \& Labor; Sociology}, + keywords = {cite::channels,country::US,inequality::gender,inequality::income,out::abstract,region::NA,type::collective\_action} } @article{WOS:000176994100005, @@ -13250,7 +13774,7 @@ @article{WOS:000209838700004, type = {Article}, - title = {Assistive Technology and Veterans with Severe Disabilities {\textexclamdown}i{\textquestiondown}{{Examining}} the Relationships among Race, Personal Factors, Medical Support, Income Support, and {{Use}}{\textexclamdown}/I{\textquestiondown}}, + title = {Assistive Technology and Veterans with Severe Disabilities {{Examining}} the Relationships among Race, Personal Factors, Medical Support, Income Support, and {{Use}}}, author = {Alston, Reginald and Lewis, Allen and Loggins, Shondra}, year = {2014}, month = oct, @@ -13269,7 +13793,8 @@ unique-id = {WOS:000209838700004}, usage-count-last-180-days = {1}, usage-count-since-2013 = {10}, - web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services; Public, Environmental \& Occupational Health} + web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services; Public, Environmental \& Occupational Health}, + keywords = {country::US,inequality::disability,inequality::health,out::abstract,region::NA} } @article{WOS:000218708600006, @@ -13292,7 +13817,8 @@ unique-id = {WOS:000218708600006}, usage-count-last-180-days = {0}, usage-count-since-2013 = {12}, - web-of-science-categories = {Environmental Studies} + web-of-science-categories = {Environmental Studies}, + keywords = {out::abstract} } @article{WOS:000220546300004, @@ -13815,7 +14341,8 @@ unique-id = {WOS:000237930300003}, usage-count-last-180-days = {0}, usage-count-since-2013 = {10}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {country::US,region::NA,relevant,TODO::abstract} } @article{WOS:000238311400010, @@ -16972,7 +17499,8 @@ unique-id = {WOS:000288667700003}, usage-count-last-180-days = {0}, usage-count-since-2013 = {23}, - web-of-science-categories = {Economics; Environmental Studies; Geography; Regional \& Urban Planning} + web-of-science-categories = {Economics; Environmental Studies; Geography; Regional \& Urban Planning}, + keywords = {country::Brazil,inequality::income,inequality::spatial,region::LAC,relevant,TODO::full-text} } @article{WOS:000289242800030, @@ -19736,7 +20264,8 @@ unique-id = {WOS:000327841700007}, usage-count-last-180-days = {2}, usage-count-since-2013 = {35}, - web-of-science-categories = {Communication; Health Policy \& Services} + web-of-science-categories = {Communication; Health Policy \& Services}, + keywords = {method::qualitative,out::title,review::meta} } @article{WOS:000328741900048, @@ -19782,7 +20311,8 @@ unique-id = {WOS:000329131500004}, usage-count-last-180-days = {1}, usage-count-since-2013 = {54}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {inequality::gender,inequality::health,out::abstract,review::narrative,TODO::review} } @article{WOS:000329249600031, @@ -19806,7 +20336,8 @@ unique-id = {WOS:000329249600031}, usage-count-last-180-days = {1}, usage-count-since-2013 = {36}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {cite::channels,country::US,inequality::gender,inequality::racial,out::abstract,region::NA} } @article{WOS:000329381700005, @@ -19900,7 +20431,8 @@ unique-id = {WOS:000329523100003}, usage-count-last-180-days = {0}, usage-count-since-2013 = {38}, - web-of-science-categories = {Rehabilitation} + web-of-science-categories = {Rehabilitation}, + keywords = {out::abstract} } @article{WOS:000329898000005, @@ -19924,7 +20456,8 @@ unique-id = {WOS:000329898000005}, usage-count-last-180-days = {2}, usage-count-since-2013 = {27}, - web-of-science-categories = {Rehabilitation; Social Sciences, Interdisciplinary} + web-of-science-categories = {Rehabilitation; Social Sciences, Interdisciplinary}, + keywords = {country::Germany,inequality::disability,region::EU,TODO::full-text} } @article{WOS:000330090900056, @@ -19947,7 +20480,8 @@ unique-id = {WOS:000330090900056}, usage-count-last-180-days = {5}, usage-count-since-2013 = {79}, - web-of-science-categories = {Psychology, Multidisciplinary; Psychology, Experimental} + web-of-science-categories = {Psychology, Multidisciplinary; Psychology, Experimental}, + keywords = {cite::channels,country::Spain,inequality::gender,out::abstract,region::EU} } @article{WOS:000330418800002, @@ -19993,12 +20527,13 @@ unique-id = {WOS:000330491600032}, usage-count-last-180-days = {3}, usage-count-since-2013 = {49}, - web-of-science-categories = {Environmental Sciences} + web-of-science-categories = {Environmental Sciences}, + keywords = {cite::channels,country::Italy,inequality::income,inequality::spatial,out::abstract,region::EU} } @article{WOS:000330492200002, type = {Article}, - title = {The Impact of {\textexclamdown}i{\textquestiondown}{{Oportunidades}}{\textexclamdown}/I{\textquestiondown} on Human Capital and Income Distribution in {{Mexico}}: {{A}} Top-down/Bottom-up Approach}, + title = {The Impact of {{Oportunidades}} on Human Capital and Income Distribution in {{Mexico}}: {{A}} Top-down/Bottom-up Approach}, author = {Debowicz, Dario and Golan, Jennifer}, year = {2014}, month = jan, @@ -20017,7 +20552,8 @@ unique-id = {WOS:000330492200002}, usage-count-last-180-days = {1}, usage-count-since-2013 = {31}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {country::Mexico,inequality::income,region::LAC,relevant,TODO::full-text} } @incollection{WOS:000331018800033, @@ -20061,7 +20597,8 @@ unique-id = {WOS:000331872500005}, usage-count-last-180-days = {1}, usage-count-since-2013 = {36}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {inequality::gender,region::SSA,relevant,TODO::full-text} } @article{WOS:000332020000012, @@ -20085,7 +20622,8 @@ unique-id = {WOS:000332020000012}, usage-count-last-180-days = {0}, usage-count-since-2013 = {24}, - web-of-science-categories = {Rehabilitation; Social Issues} + web-of-science-categories = {Rehabilitation; Social Issues}, + keywords = {cite::channels,inequality::disability,out::title,review::meta,TODO::review} } @article{WOS:000332337100012, @@ -20109,7 +20647,8 @@ unique-id = {WOS:000332337100012}, usage-count-last-180-days = {2}, usage-count-since-2013 = {85}, - web-of-science-categories = {Social Sciences, Interdisciplinary; Sociology} + web-of-science-categories = {Social Sciences, Interdisciplinary; Sociology}, + keywords = {country::China,country::US,inequality::income,out::abstract,region::AP,region::NA} } @article{WOS:000332609600001, @@ -20132,7 +20671,8 @@ unique-id = {WOS:000332609600001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {20}, - web-of-science-categories = {Health Care Sciences \& Services} + web-of-science-categories = {Health Care Sciences \& Services}, + keywords = {country::Kenya,inequality::health,out::title,region::SSA} } @article{WOS:000332615800001, @@ -20155,7 +20695,8 @@ unique-id = {WOS:000332615800001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {10}, - web-of-science-categories = {Health Care Sciences \& Services} + web-of-science-categories = {Health Care Sciences \& Services}, + keywords = {country::Zambia,inequality::health,inequality::spatial,out::abstract,region::SSA} } @article{WOS:000333202500007, @@ -20178,7 +20719,8 @@ unique-id = {WOS:000333202500007}, usage-count-last-180-days = {0}, usage-count-since-2013 = {3}, - web-of-science-categories = {Endocrinology \& Metabolism} + web-of-science-categories = {Endocrinology \& Metabolism}, + keywords = {inequality::disability,out::abstract} } @article{WOS:000333488900022, @@ -20201,7 +20743,8 @@ unique-id = {WOS:000333488900022}, usage-count-last-180-days = {0}, usage-count-since-2013 = {43}, - web-of-science-categories = {Public, Environmental \& Occupational Health; Social Sciences, Biomedical} + web-of-science-categories = {Public, Environmental \& Occupational Health; Social Sciences, Biomedical}, + keywords = {country::US,inequality::gender,inequality::health,inequality::racial,out::abstract,region::NA} } @article{WOS:000333853100017, @@ -20224,7 +20767,8 @@ unique-id = {WOS:000333853100017}, usage-count-last-180-days = {3}, usage-count-since-2013 = {45}, - web-of-science-categories = {Development Studies; Environmental Studies; Regional \& Urban Planning; Urban Studies} + web-of-science-categories = {Development Studies; Environmental Studies; Regional \& Urban Planning; Urban Studies}, + keywords = {country::China,inequality::migration,out::abstract,region::AP} } @article{WOS:000333959200002, @@ -20250,7 +20794,8 @@ unique-id = {WOS:000333959200002}, usage-count-last-180-days = {13}, usage-count-since-2013 = {191}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {cite::framework,inequality::income,inequality::migration,inequality::racial,out::abstract,review::narrative,TODO::review} } @article{WOS:000334691500015, @@ -20273,7 +20818,8 @@ unique-id = {WOS:000334691500015}, usage-count-last-180-days = {0}, usage-count-since-2013 = {1}, - web-of-science-categories = {Oncology} + web-of-science-categories = {Oncology}, + keywords = {out::title} } @article{WOS:000334866200004, @@ -20297,7 +20843,8 @@ unique-id = {WOS:000334866200004}, usage-count-last-180-days = {1}, usage-count-since-2013 = {35}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {cite::further\_reading,inequality::gender,out::abstract,region::AP} } @article{WOS:000335291000003, @@ -20320,7 +20867,8 @@ unique-id = {WOS:000335291000003}, usage-count-last-180-days = {4}, usage-count-since-2013 = {48}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {country::US,inequality::gender,method::qualitative,out::abstract,region::NA} } @article{WOS:000335389500001, @@ -20344,7 +20892,8 @@ unique-id = {WOS:000335389500001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {67}, - web-of-science-categories = {Demography; Economics} + web-of-science-categories = {Demography; Economics}, + keywords = {cite::channels,inequality::gender,out::abstract} } @article{WOS:000335448500005, @@ -20368,7 +20917,8 @@ unique-id = {WOS:000335448500005}, usage-count-last-180-days = {2}, usage-count-since-2013 = {26}, - web-of-science-categories = {Family Studies; Nursing} + web-of-science-categories = {Family Studies; Nursing}, + keywords = {inequality::gender,inequality::health,out::abstract} } @article{WOS:000335612200004, @@ -20391,7 +20941,8 @@ unique-id = {WOS:000335612200004}, usage-count-last-180-days = {1}, usage-count-since-2013 = {19}, - web-of-science-categories = {Education \& Educational Research} + web-of-science-categories = {Education \& Educational Research}, + keywords = {cite::channels,country::India,inequality::income,out::abstract,region::AP} } @article{WOS:000335991400005, @@ -20415,7 +20966,11 @@ unique-id = {WOS:000335991400005}, usage-count-last-180-days = {2}, usage-count-since-2013 = {85}, - web-of-science-categories = {Sociology; Women's Studies} + web-of-science-categories = {Sociology; Women's Studies}, + keywords = {cite::channels,inequality::gender,method::qualitative,out::abstract}, + note = {does not look at pol interv.; BUT +\par +looks at qualitative estimation of terminations from workplace due to pregnancy - directly LM adjacent inequality. Cite} } @article{WOS:000336473800001, @@ -20438,7 +20993,8 @@ unique-id = {WOS:000336473800001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {22}, - web-of-science-categories = {Public, Environmental \& Occupational Health; Social Sciences, Biomedical} + web-of-science-categories = {Public, Environmental \& Occupational Health; Social Sciences, Biomedical}, + keywords = {cite::channels,country::Kenya,inequality::health,inequality::migration,inequality::spatial,method::qualitative,out::abstract,region::SSA} } @article{WOS:000337986400006, @@ -20461,7 +21017,8 @@ unique-id = {WOS:000337986400006}, usage-count-last-180-days = {13}, usage-count-since-2013 = {185}, - web-of-science-categories = {Environmental Studies} + web-of-science-categories = {Environmental Studies}, + keywords = {country::China,inequality::income,region::AP,relevant,TODO::full-text} } @article{WOS:000338959100001, @@ -20484,7 +21041,8 @@ unique-id = {WOS:000338959100001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {51}, - web-of-science-categories = {Health Policy \& Services; Industrial Relations \& Labor} + web-of-science-categories = {Health Policy \& Services; Industrial Relations \& Labor}, + keywords = {country::Kenya,inequality::health,out::abstract,region::SSA} } @article{WOS:000339147600007, @@ -20508,7 +21066,8 @@ unique-id = {WOS:000339147600007}, usage-count-last-180-days = {0}, usage-count-since-2013 = {24}, - web-of-science-categories = {Rehabilitation; Sport Sciences} + web-of-science-categories = {Rehabilitation; Sport Sciences}, + keywords = {cite::channels,inequality::disability,out::abstract} } @article{WOS:000340173200001, @@ -20531,7 +21090,8 @@ unique-id = {WOS:000340173200001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {54}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::abstract} } @article{WOS:000340224900003, @@ -20554,7 +21114,8 @@ unique-id = {WOS:000340224900003}, usage-count-last-180-days = {1}, usage-count-since-2013 = {75}, - web-of-science-categories = {Geography} + web-of-science-categories = {Geography}, + keywords = {cite::channels,country::Britain,inequality::spatial,out::abstract,region::EU} } @article{WOS:000340314800008, @@ -20578,7 +21139,8 @@ unique-id = {WOS:000340314800008}, usage-count-last-180-days = {3}, usage-count-since-2013 = {69}, - web-of-science-categories = {Neurosciences; Psychiatry} + web-of-science-categories = {Neurosciences; Psychiatry}, + keywords = {out::title} } @article{WOS:000341068900019, @@ -20601,7 +21163,8 @@ unique-id = {WOS:000341068900019}, usage-count-last-180-days = {0}, usage-count-since-2013 = {47}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {inequality::gender,out::abstract} } @article{WOS:000341379700001, @@ -20624,7 +21187,8 @@ unique-id = {WOS:000341379700001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {37}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {country::China,out::abstract,region::AP} } @article{WOS:000341510400009, @@ -20648,7 +21212,8 @@ unique-id = {WOS:000341510400009}, usage-count-last-180-days = {0}, usage-count-since-2013 = {29}, - web-of-science-categories = {Area Studies} + web-of-science-categories = {Area Studies}, + keywords = {country::HongKong,inequality::income,region::AP,TODO::full-text,type::minimum\_wage} } @article{WOS:000341929000002, @@ -20671,7 +21236,8 @@ unique-id = {WOS:000341929000002}, usage-count-last-180-days = {2}, usage-count-since-2013 = {24}, - web-of-science-categories = {Psychology, Applied; Management} + web-of-science-categories = {Psychology, Applied; Management}, + keywords = {cite::framework,inequality::migration,inequality::racial,method::qualitative,out::abstract} } @article{WOS:000342390300001, @@ -20695,7 +21261,8 @@ unique-id = {WOS:000342390300001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {94}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {country::Australia,country::Britain,country::Germany,country::Netherlands,country::Sweden,inequality::health,inequality::income,out::abstract} } @article{WOS:000342530000082, @@ -20717,7 +21284,11 @@ unique-id = {WOS:000342530000082}, usage-count-last-180-days = {1}, usage-count-since-2013 = {62}, - web-of-science-categories = {Green \& Sustainable Science \& Technology; Energy \& Fuels} + web-of-science-categories = {Green \& Sustainable Science \& Technology; Energy \& Fuels}, + keywords = {cite::channels,country::China,inequality::gender,inequality::income,out::abstract,region::AP}, + note = {argues for factors influencing renewable energy distributive effects; +\par +does NOT look at specific policy intervention, instead building its own predictive model} } @article{WOS:000343808900006, @@ -20741,7 +21312,8 @@ unique-id = {WOS:000343808900006}, usage-count-last-180-days = {1}, usage-count-since-2013 = {21}, - web-of-science-categories = {Social Issues; Social Sciences, Interdisciplinary} + web-of-science-categories = {Social Issues; Social Sciences, Interdisciplinary}, + keywords = {country::Switzerland,inequality::gender,inequality::generational,method::qualitative,region::EU,relevant,TODO::full-text} } @article{WOS:000343850400005, @@ -20764,7 +21336,8 @@ unique-id = {WOS:000343850400005}, usage-count-last-180-days = {0}, usage-count-since-2013 = {31}, - web-of-science-categories = {Physics, Multidisciplinary} + web-of-science-categories = {Physics, Multidisciplinary}, + keywords = {cite::channels,country::US,inequality::gender,inequality::racial,out::abstract,region::NA} } @article{WOS:000344386200008, @@ -20788,7 +21361,8 @@ unique-id = {WOS:000344386200008}, usage-count-last-180-days = {0}, usage-count-since-2013 = {45}, - web-of-science-categories = {Nursing; Psychiatry} + web-of-science-categories = {Nursing; Psychiatry}, + keywords = {out::title} } @article{WOS:000344425100014, @@ -20812,7 +21386,8 @@ unique-id = {WOS:000344425100014}, usage-count-last-180-days = {0}, usage-count-since-2013 = {29}, - web-of-science-categories = {Education, Scientific Disciplines; Nursing} + web-of-science-categories = {Education, Scientific Disciplines; Nursing}, + keywords = {country::Chile,inequality::gender,method::qualitative,out::abstract,region::LAC} } @article{WOS:000344822800003, @@ -20835,7 +21410,8 @@ unique-id = {WOS:000344822800003}, usage-count-last-180-days = {0}, usage-count-since-2013 = {14}, - web-of-science-categories = {Economics; Environmental Studies; Fisheries} + web-of-science-categories = {Economics; Environmental Studies; Fisheries}, + keywords = {out::abstract} } @article{WOS:000344983900008, @@ -20859,7 +21435,8 @@ unique-id = {WOS:000344983900008}, usage-count-last-180-days = {0}, usage-count-since-2013 = {9}, - web-of-science-categories = {Surgery; Transplantation} + web-of-science-categories = {Surgery; Transplantation}, + keywords = {out::title} } @article{WOS:000346265900009, @@ -20883,7 +21460,8 @@ unique-id = {WOS:000346265900009}, usage-count-last-180-days = {0}, usage-count-since-2013 = {18}, - web-of-science-categories = {Nursing} + web-of-science-categories = {Nursing}, + keywords = {inequality::health,inequality::migration,out::title} } @article{WOS:000346459100001, @@ -20906,7 +21484,8 @@ unique-id = {WOS:000346459100001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {54}, - web-of-science-categories = {Social Sciences, Interdisciplinary} + web-of-science-categories = {Social Sciences, Interdisciplinary}, + keywords = {cite::channels,country::Britain,inequality::age,inequality::income,out::abstract,region::EU} } @article{WOS:000346599500019, @@ -20930,7 +21509,8 @@ unique-id = {WOS:000346599500019}, usage-count-last-180-days = {0}, usage-count-since-2013 = {13}, - web-of-science-categories = {Health Policy \& Services; Public, Environmental \& Occupational Health; Psychiatry} + web-of-science-categories = {Health Policy \& Services; Public, Environmental \& Occupational Health; Psychiatry}, + keywords = {country::US,inequality::age,inequality::disability,region::NA,relevant,TODO::full-text,type::counseling} } @article{WOS:000346617900020, @@ -20954,7 +21534,8 @@ unique-id = {WOS:000346617900020}, usage-count-last-180-days = {0}, usage-count-since-2013 = {12}, - web-of-science-categories = {Nursing; Obstetrics \& Gynecology} + web-of-science-categories = {Nursing; Obstetrics \& Gynecology}, + keywords = {cite::channels,country::Australia,inequality::gender,inequality::spatial,out::abstract,region::AP} } @inproceedings{WOS:000346699801001, @@ -20999,7 +21580,8 @@ unique-id = {WOS:000346942200001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {21}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {inequality::health,out::abstract} } @article{WOS:000347119100086, @@ -21022,7 +21604,8 @@ unique-id = {WOS:000347119100086}, usage-count-last-180-days = {0}, usage-count-since-2013 = {44}, - web-of-science-categories = {Multidisciplinary Sciences} + web-of-science-categories = {Multidisciplinary Sciences}, + keywords = {country::China,out::abstract,region::AP} } @article{WOS:000347471000009, @@ -21046,7 +21629,8 @@ unique-id = {WOS:000347471000009}, usage-count-last-180-days = {1}, usage-count-since-2013 = {32}, - web-of-science-categories = {Obstetrics \& Gynecology; Reproductive Biology} + web-of-science-categories = {Obstetrics \& Gynecology; Reproductive Biology}, + keywords = {cite::channels,inequality::gender,out::abstract} } @article{WOS:000347754500002, @@ -21070,7 +21654,8 @@ unique-id = {WOS:000347754500002}, usage-count-last-180-days = {1}, usage-count-since-2013 = {9}, - web-of-science-categories = {Urban Studies} + web-of-science-categories = {Urban Studies}, + keywords = {cite::channels,inequality::gender,inequality::racial,out::abstract} } @article{WOS:000347760400006, @@ -21094,7 +21679,8 @@ unique-id = {WOS:000347760400006}, usage-count-last-180-days = {7}, usage-count-since-2013 = {91}, - web-of-science-categories = {Agricultural Economics \& Policy; Economics; Food Science \& Technology; Nutrition \& Dietetics} + web-of-science-categories = {Agricultural Economics \& Policy; Economics; Food Science \& Technology; Nutrition \& Dietetics}, + keywords = {country::China,out::abstract,region::AP} } @article{WOS:000348270600009, @@ -21117,7 +21703,8 @@ unique-id = {WOS:000348270600009}, usage-count-last-180-days = {1}, usage-count-since-2013 = {47}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {cite::channels,inequality::gender,out::abstract} } @article{WOS:000348614700007, @@ -21140,12 +21727,13 @@ unique-id = {WOS:000348614700007}, usage-count-last-180-days = {0}, usage-count-since-2013 = {31}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {inequality::income,out::abstract} } @article{WOS:000349106600005, type = {Article}, - title = {*can We Finish the Revolution? {{Gender}}, Work-Family Ideals, and Institutional Constraint}, + title = {Can We Finish the Revolution? {{Gender}}, Work-Family Ideals, and Institutional Constraint}, author = {Pedulla, David S. and Thebaud, Sarah}, year = {2015}, month = feb, @@ -21166,12 +21754,13 @@ unique-id = {WOS:000349106600005}, usage-count-last-180-days = {10}, usage-count-since-2013 = {211}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {cite::channels,inequality::gender,out::abstract} } @article{WOS:000349112300002, type = {Article}, - title = {Incorporating `class' into Work-Family Arrangements: {{Insights}} from and for {\textexclamdown}i{\textquestiondown}{{Three Worlds}}{\textexclamdown}/I{\textquestiondown}}, + title = {Incorporating 'class' into Work-Family Arrangements: {{Insights}} from and for {{Three Worlds}}}, author = {Hook, Jennifer L.}, year = {2015}, month = feb, @@ -21190,7 +21779,8 @@ unique-id = {WOS:000349112300002}, usage-count-last-180-days = {3}, usage-count-since-2013 = {35}, - web-of-science-categories = {Public Administration; Social Issues} + web-of-science-categories = {Public Administration; Social Issues}, + keywords = {cite::channels,inequality::gender,inequality::generational,out::abstract,region::EU} } @article{WOS:000349319400005, @@ -21214,7 +21804,8 @@ unique-id = {WOS:000349319400005}, usage-count-last-180-days = {0}, usage-count-since-2013 = {21}, - web-of-science-categories = {Political Science} + web-of-science-categories = {Political Science}, + keywords = {out::title} } @article{WOS:000349494900012, @@ -21236,7 +21827,11 @@ unique-id = {WOS:000349494900012}, usage-count-last-180-days = {0}, usage-count-since-2013 = {19}, - web-of-science-categories = {Engineering, Civil; Transportation; Transportation Science \& Technology} + web-of-science-categories = {Engineering, Civil; Transportation; Transportation Science \& Technology}, + keywords = {cite::channels,country::US,inequality::spatial,out::abstract,region::NA}, + note = {looks at transportation effects on spatial inequality; +\par +does NOT look at specific policy intervention} } @article{WOS:000349626700003, @@ -21260,7 +21855,8 @@ unique-id = {WOS:000349626700003}, usage-count-last-180-days = {0}, usage-count-since-2013 = {10}, - web-of-science-categories = {Social Work} + web-of-science-categories = {Social Work}, + keywords = {cite::channels,country::Ghana,inequality::age,inequality::gender,inequality::income,out::abstract,region::SSA} } @article{WOS:000350073500005, @@ -21283,7 +21879,8 @@ unique-id = {WOS:000350073500005}, usage-count-last-180-days = {2}, usage-count-since-2013 = {42}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {cite::channels,inequality::gender,inequality::income,out::abstract,region::EU,type::collective\_action} } @article{WOS:000350086800009, @@ -21307,7 +21904,8 @@ unique-id = {WOS:000350086800009}, usage-count-last-180-days = {2}, usage-count-since-2013 = {28}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {inequality::income,out::abstract,type::taxation} } @article{WOS:000350086800011, @@ -21331,7 +21929,8 @@ unique-id = {WOS:000350086800011}, usage-count-last-180-days = {6}, usage-count-since-2013 = {76}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {out::title} } @incollection{WOS:000350304100006, @@ -21354,7 +21953,8 @@ unique-id = {WOS:000350304100006}, usage-count-last-180-days = {2}, usage-count-since-2013 = {264}, - web-of-science-categories = {Ecology; Marine \& Freshwater Biology; Oceanography} + web-of-science-categories = {Ecology; Marine \& Freshwater Biology; Oceanography}, + keywords = {out::title} } @article{WOS:000351024600003, @@ -21377,7 +21977,8 @@ unique-id = {WOS:000351024600003}, usage-count-last-180-days = {1}, usage-count-since-2013 = {20}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {cite::channels,country::Spain,inequality::gender,inequality::generational,out::abstract,region::EU} } @article{WOS:000351557600007, @@ -21399,7 +22000,8 @@ unique-id = {WOS:000351557600007}, usage-count-last-180-days = {2}, usage-count-since-2013 = {14}, - web-of-science-categories = {Area Studies; International Relations} + web-of-science-categories = {Area Studies; International Relations}, + keywords = {cite::channels,inequality::gender,out::abstract} } @article{WOS:000351709500003, @@ -21423,12 +22025,13 @@ unique-id = {WOS:000351709500003}, usage-count-last-180-days = {1}, usage-count-since-2013 = {20}, - web-of-science-categories = {Gerontology} + web-of-science-categories = {Gerontology}, + keywords = {out::title} } @article{WOS:000352020700014, type = {Article}, - title = {Can Local Communities `sustain' {{HIV}}/{{AIDS}} Programmes? {{A}} South African Example}, + title = {Can Local Communities 'sustain' {{HIV}}/{{AIDS}} Programmes? {{A}} South African Example}, author = {Gibbs, Andrew and Campbell, Catherine and Maimane, Sbongile}, year = {2015}, month = mar, @@ -21471,7 +22074,8 @@ unique-id = {WOS:000352201800001}, usage-count-last-180-days = {4}, usage-count-since-2013 = {100}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::channels,inequality::gender,method::qualitative,out::abstract} } @article{WOS:000352201800002, @@ -21495,7 +22099,8 @@ unique-id = {WOS:000352201800002}, usage-count-last-180-days = {1}, usage-count-since-2013 = {42}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::framework,inequality::gender,inequality::income,out::abstract} } @article{WOS:000352546600002, @@ -21519,7 +22124,8 @@ unique-id = {WOS:000352546600002}, usage-count-last-180-days = {0}, usage-count-since-2013 = {26}, - web-of-science-categories = {Development Studies; Public Administration; Social Issues; Social Work} + web-of-science-categories = {Development Studies; Public Administration; Social Issues; Social Work}, + keywords = {country::Britain,country::Denmark,inequality::disability,region::EU,TODO::full-text} } @article{WOS:000352546600009, @@ -21543,7 +22149,8 @@ unique-id = {WOS:000352546600009}, usage-count-last-180-days = {0}, usage-count-since-2013 = {26}, - web-of-science-categories = {Development Studies; Public Administration; Social Issues; Social Work} + web-of-science-categories = {Development Studies; Public Administration; Social Issues; Social Work}, + keywords = {cite::channels,inequality::disability,inequality::income,inequality::spatial,out::abstract,region::EU} } @article{WOS:000352574500003, @@ -21567,7 +22174,8 @@ unique-id = {WOS:000352574500003}, usage-count-last-180-days = {1}, usage-count-since-2013 = {25}, - web-of-science-categories = {Public, Environmental \& Occupational Health; Social Work} + web-of-science-categories = {Public, Environmental \& Occupational Health; Social Work}, + keywords = {out::title} } @article{WOS:000352643000003, @@ -21591,7 +22199,8 @@ unique-id = {WOS:000352643000003}, usage-count-last-180-days = {1}, usage-count-since-2013 = {62}, - web-of-science-categories = {Demography} + web-of-science-categories = {Demography}, + keywords = {out::title} } @article{WOS:000353463000003, @@ -21615,7 +22224,8 @@ unique-id = {WOS:000353463000003}, usage-count-last-180-days = {1}, usage-count-since-2013 = {45}, - web-of-science-categories = {Urban Studies} + web-of-science-categories = {Urban Studies}, + keywords = {out::title} } @article{WOS:000353621600004, @@ -21638,7 +22248,8 @@ unique-id = {WOS:000353621600004}, usage-count-last-180-days = {1}, usage-count-since-2013 = {14}, - web-of-science-categories = {Environmental Studies} + web-of-science-categories = {Environmental Studies}, + keywords = {country::US,inequality::gender,region::NA,relevant,TODO::abstract} } @article{WOS:000354718500019, @@ -21662,7 +22273,8 @@ unique-id = {WOS:000354718500019}, usage-count-last-180-days = {2}, usage-count-since-2013 = {93}, - web-of-science-categories = {Rehabilitation; Social Issues} + web-of-science-categories = {Rehabilitation; Social Issues}, + keywords = {inequality::disability,out::title,review::systematic,TODO::review} } @article{WOS:000354723600015, @@ -21686,7 +22298,8 @@ unique-id = {WOS:000354723600015}, usage-count-last-180-days = {2}, usage-count-since-2013 = {19}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::title} } @article{WOS:000354853800002, @@ -21710,7 +22323,8 @@ unique-id = {WOS:000354853800002}, usage-count-last-180-days = {0}, usage-count-since-2013 = {67}, - web-of-science-categories = {Economics; Industrial Relations \& Labor; Sociology} + web-of-science-categories = {Economics; Industrial Relations \& Labor; Sociology}, + keywords = {cite::channels,country::Netherlands,inequality::income,inequality::migration,out::abstract,region::EU} } @article{WOS:000354954400005, @@ -21733,7 +22347,8 @@ unique-id = {WOS:000354954400005}, usage-count-last-180-days = {0}, usage-count-since-2013 = {9}, - web-of-science-categories = {Social Sciences, Interdisciplinary} + web-of-science-categories = {Social Sciences, Interdisciplinary}, + keywords = {cite::channels,country::Brazil,inequality::income,out::abstract,region::LAC} } @article{WOS:000355039200005, @@ -21757,7 +22372,8 @@ unique-id = {WOS:000355039200005}, usage-count-last-180-days = {0}, usage-count-since-2013 = {19}, - web-of-science-categories = {Economics; Regional \& Urban Planning} + web-of-science-categories = {Economics; Regional \& Urban Planning}, + keywords = {out::title} } @article{WOS:000355118200009, @@ -21781,7 +22397,8 @@ unique-id = {WOS:000355118200009}, usage-count-last-180-days = {0}, usage-count-since-2013 = {28}, - web-of-science-categories = {Rehabilitation; Social Sciences, Interdisciplinary} + web-of-science-categories = {Rehabilitation; Social Sciences, Interdisciplinary}, + keywords = {cite::channels,country::Croatia,inequality::disability,out::abstract,region::EU} } @article{WOS:000355232500003, @@ -21805,7 +22422,8 @@ unique-id = {WOS:000355232500003}, usage-count-last-180-days = {4}, usage-count-since-2013 = {47}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {country::New\_Zealand,inequality::gender,method::qualitative,out::abstract,region::AP} } @article{WOS:000355629800003, @@ -21828,7 +22446,8 @@ unique-id = {WOS:000355629800003}, usage-count-last-180-days = {0}, usage-count-since-2013 = {19}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {out::title} } @article{WOS:000355695300007, @@ -21852,7 +22471,8 @@ unique-id = {WOS:000355695300007}, usage-count-last-180-days = {0}, usage-count-since-2013 = {60}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {out::title} } @article{WOS:000355766900036, @@ -21875,7 +22495,8 @@ unique-id = {WOS:000355766900036}, usage-count-last-180-days = {0}, usage-count-since-2013 = {22}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {cite::channels,inequality::gender,inequality::income,inequality::racial,out::abstract} } @article{WOS:000356317600011, @@ -21898,7 +22519,8 @@ unique-id = {WOS:000356317600011}, usage-count-last-180-days = {0}, usage-count-since-2013 = {3}, - web-of-science-categories = {Rehabilitation} + web-of-science-categories = {Rehabilitation}, + keywords = {out::title} } @article{WOS:000356555100004, @@ -21921,7 +22543,8 @@ unique-id = {WOS:000356555100004}, usage-count-last-180-days = {0}, usage-count-since-2013 = {25}, - web-of-science-categories = {Biology; Mathematical \& Computational Biology} + web-of-science-categories = {Biology; Mathematical \& Computational Biology}, + keywords = {out::title} } @article{WOS:000357225900004, @@ -21945,7 +22568,8 @@ unique-id = {WOS:000357225900004}, usage-count-last-180-days = {2}, usage-count-since-2013 = {32}, - web-of-science-categories = {Geography} + web-of-science-categories = {Geography}, + keywords = {inequality::income,out::abstract} } @article{WOS:000357387800025, @@ -21969,7 +22593,8 @@ unique-id = {WOS:000357387800025}, usage-count-last-180-days = {1}, usage-count-since-2013 = {17}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {cite::channels,country::US,inequality::health,inequality::income,out::abstract,region::NA} } @article{WOS:000357594400014, @@ -21993,7 +22618,8 @@ unique-id = {WOS:000357594400014}, usage-count-last-180-days = {0}, usage-count-since-2013 = {6}, - web-of-science-categories = {Public, Environmental \& Occupational Health; Tropical Medicine} + web-of-science-categories = {Public, Environmental \& Occupational Health; Tropical Medicine}, + keywords = {out::title} } @inproceedings{WOS:000357668200106, @@ -22041,7 +22667,8 @@ unique-id = {WOS:000357881000004}, usage-count-last-180-days = {4}, usage-count-since-2013 = {63}, - web-of-science-categories = {Gerontology} + web-of-science-categories = {Gerontology}, + keywords = {cite::channels,inequality::gender,out::abstract,region::EU} } @article{WOS:000358070300016, @@ -22065,7 +22692,11 @@ unique-id = {WOS:000358070300016}, usage-count-last-180-days = {1}, usage-count-since-2013 = {41}, - web-of-science-categories = {Nursing; Obstetrics \& Gynecology; Pediatrics} + web-of-science-categories = {Nursing; Obstetrics \& Gynecology; Pediatrics}, + keywords = {cite::channels,inequality::gender,inequality::generational,inequality::racial,method::qualitative,out::abstract}, + note = {inequality analysis with LM adjacency; +\par +no PI} } @article{WOS:000358149300023, @@ -22089,7 +22720,8 @@ unique-id = {WOS:000358149300023}, usage-count-last-180-days = {0}, usage-count-since-2013 = {69}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::abstract} } @article{WOS:000359164800006, @@ -22160,7 +22792,8 @@ unique-id = {WOS:000359456600021}, usage-count-last-180-days = {0}, usage-count-since-2013 = {17}, - web-of-science-categories = {Dentistry, Oral Surgery \& Medicine} + web-of-science-categories = {Dentistry, Oral Surgery \& Medicine}, + keywords = {inequality::health,inequality::racial,out::abstract} } @article{WOS:000359501700010, @@ -22184,7 +22817,8 @@ unique-id = {WOS:000359501700010}, usage-count-last-180-days = {0}, usage-count-since-2013 = {24}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {out::title} } @inproceedings{WOS:000359614600069, @@ -22206,6 +22840,7 @@ usage-count-last-180-days = {0}, usage-count-since-2013 = {3}, web-of-science-categories = {Business, Finance}, + keywords = {country::Romania,inequality::age,inequality::gender,method::quantitative,region::EU,relevant,TODO::full-text}, note = {International Multidisciplinary Scientific Conferences on Social Sciences and Arts (SGEM 2014), Albena, BULGARIA, SEP 01-10, 2014} } @@ -22230,7 +22865,8 @@ unique-id = {WOS:000359655000004}, usage-count-last-180-days = {0}, usage-count-since-2013 = {20}, - web-of-science-categories = {Substance Abuse; Public, Environmental \& Occupational Health} + web-of-science-categories = {Substance Abuse; Public, Environmental \& Occupational Health}, + keywords = {inequality::ethnicity,inequality::health,inequality::migration,inequality::racial,out::title} } @article{WOS:000359810100007, @@ -22254,7 +22890,8 @@ unique-id = {WOS:000359810100007}, usage-count-last-180-days = {0}, usage-count-since-2013 = {12}, - web-of-science-categories = {Psychology, Clinical; Substance Abuse} + web-of-science-categories = {Psychology, Clinical; Substance Abuse}, + keywords = {inequality::health,inequality::income,inequality::racial,out::title} } @article{WOS:000360348700003, @@ -22277,7 +22914,8 @@ unique-id = {WOS:000360348700003}, usage-count-last-180-days = {1}, usage-count-since-2013 = {19}, - web-of-science-categories = {Health Care Sciences \& Services} + web-of-science-categories = {Health Care Sciences \& Services}, + keywords = {out::title} } @article{WOS:000360448400005, @@ -22298,7 +22936,8 @@ unique-id = {WOS:000360448400005}, usage-count-last-180-days = {0}, usage-count-since-2013 = {16}, - web-of-science-categories = {History; History Of Social Sciences} + web-of-science-categories = {History; History Of Social Sciences}, + keywords = {out::title} } @incollection{WOS:000360846600010, @@ -22321,7 +22960,8 @@ unique-id = {WOS:000360846600010}, usage-count-last-180-days = {0}, usage-count-since-2013 = {8}, - web-of-science-categories = {Rehabilitation; Social Sciences, Interdisciplinary} + web-of-science-categories = {Rehabilitation; Social Sciences, Interdisciplinary}, + keywords = {out::title,review::scoping,TODO::review} } @article{WOS:000360902600011, @@ -22345,7 +22985,8 @@ unique-id = {WOS:000360902600011}, usage-count-last-180-days = {1}, usage-count-since-2013 = {5}, - web-of-science-categories = {Obstetrics \& Gynecology} + web-of-science-categories = {Obstetrics \& Gynecology}, + keywords = {out::title} } @article{WOS:000361420600004, @@ -22369,7 +23010,8 @@ unique-id = {WOS:000361420600004}, usage-count-last-180-days = {0}, usage-count-since-2013 = {7}, - web-of-science-categories = {Rehabilitation; Sport Sciences} + web-of-science-categories = {Rehabilitation; Sport Sciences}, + keywords = {country::Madagascar,inequality::disability,region::SSA,relevant,TODO::full-text} } @article{WOS:000361587400001, @@ -22392,7 +23034,8 @@ unique-id = {WOS:000361587400001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {20}, - web-of-science-categories = {Nutrition \& Dietetics; Physiology} + web-of-science-categories = {Nutrition \& Dietetics; Physiology}, + keywords = {inequality::generational,inequality::health,out::abstract} } @article{WOS:000361622800001, @@ -22414,7 +23057,8 @@ unique-id = {WOS:000361622800001}, usage-count-last-180-days = {4}, usage-count-since-2013 = {27}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {cite::channels,country::South\_Africa,inequality::health,inequality::income,out::abstract,region::SSA} } @article{WOS:000361706700002, @@ -22437,7 +23081,8 @@ unique-id = {WOS:000361706700002}, usage-count-last-180-days = {0}, usage-count-since-2013 = {24}, - web-of-science-categories = {Health Care Sciences \& Services} + web-of-science-categories = {Health Care Sciences \& Services}, + keywords = {out::title} } @article{WOS:000361932100003, @@ -22460,7 +23105,8 @@ unique-id = {WOS:000361932100003}, usage-count-last-180-days = {0}, usage-count-since-2013 = {16}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {cite::channels,inequality::gender,method::quantitative,out::abstract} } @article{WOS:000362059500006, @@ -22483,12 +23129,13 @@ unique-id = {WOS:000362059500006}, usage-count-last-180-days = {1}, usage-count-since-2013 = {36}, - web-of-science-categories = {History} + web-of-science-categories = {History}, + keywords = {out::abstract} } @article{WOS:000362603400003, type = {Article}, - title = {International Inequality in {{CO}}{\textexclamdown}sub{\textquestiondown}2{\textexclamdown}/Sub{\textquestiondown} Emissions: {{A}} New Factorial Decomposition Based on {{Kaya}} Factors}, + title = {International Inequality in {{CO2}} Emissions: {{A}} New Factorial Decomposition Based on {{Kaya}} Factors}, author = {Remuzgo, Lorena and Maria Sarabia, Jose}, year = {2015}, month = dec, @@ -22506,7 +23153,8 @@ unique-id = {WOS:000362603400003}, usage-count-last-180-days = {3}, usage-count-since-2013 = {49}, - web-of-science-categories = {Environmental Sciences} + web-of-science-categories = {Environmental Sciences}, + keywords = {out::title} } @article{WOS:000362715700001, @@ -22530,7 +23178,8 @@ unique-id = {WOS:000362715700001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {43}, - web-of-science-categories = {Development Studies; Economics} + web-of-science-categories = {Development Studies; Economics}, + keywords = {out::title} } @article{WOS:000362868400001, @@ -22553,7 +23202,8 @@ unique-id = {WOS:000362868400001}, usage-count-last-180-days = {4}, usage-count-since-2013 = {10}, - web-of-science-categories = {Health Care Sciences \& Services} + web-of-science-categories = {Health Care Sciences \& Services}, + keywords = {out::title} } @article{WOS:000363073800001, @@ -22577,7 +23227,8 @@ unique-id = {WOS:000363073800001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {12}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {inequality::income,relevant,TODO::full-text,type::regulation} } @article{WOS:000363075000006, @@ -22600,7 +23251,8 @@ unique-id = {WOS:000363075000006}, usage-count-last-180-days = {0}, usage-count-since-2013 = {13}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::framework,inequality::income,out::abstract} } @article{WOS:000363458200007, @@ -22622,7 +23274,8 @@ unique-id = {WOS:000363458200007}, usage-count-last-180-days = {0}, usage-count-since-2013 = {10}, - web-of-science-categories = {Medicine, General \& Internal} + web-of-science-categories = {Medicine, General \& Internal}, + keywords = {cite::channels,country::Japan,inequality::gender,out::abstract,region::AP} } @article{WOS:000363888100001, @@ -22644,7 +23297,8 @@ unique-id = {WOS:000363888100001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {6}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::title,review::narrative} } @article{WOS:000364001300001, @@ -22667,7 +23321,8 @@ unique-id = {WOS:000364001300001}, usage-count-last-180-days = {10}, usage-count-since-2013 = {130}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::title} } @article{WOS:000364169600006, @@ -22691,7 +23346,8 @@ unique-id = {WOS:000364169600006}, usage-count-last-180-days = {1}, usage-count-since-2013 = {43}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {out::title} } @article{WOS:000364202800007, @@ -22715,7 +23371,8 @@ unique-id = {WOS:000364202800007}, usage-count-last-180-days = {8}, usage-count-since-2013 = {221}, - web-of-science-categories = {Business; Management} + web-of-science-categories = {Business; Management}, + keywords = {cite::channels,inequality::gender,out::abstract} } @article{WOS:000364726500002, @@ -22761,7 +23418,8 @@ unique-id = {WOS:000365306100001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {34}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {cite::channels,inequality::racial,out::abstract,type::collective\_action} } @article{WOS:000365374800003, @@ -22784,7 +23442,8 @@ unique-id = {WOS:000365374800003}, usage-count-last-180-days = {0}, usage-count-since-2013 = {9}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::channels,inequality::gender,out::abstract} } @article{WOS:000365599300003, @@ -22829,7 +23488,8 @@ unique-id = {WOS:000365601800001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {34}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {cite::channels,inequality::disability,out::abstract} } @article{WOS:000365969900006, @@ -22853,7 +23513,8 @@ unique-id = {WOS:000365969900006}, usage-count-last-180-days = {0}, usage-count-since-2013 = {11}, - web-of-science-categories = {Immunology; Infectious Diseases} + web-of-science-categories = {Immunology; Infectious Diseases}, + keywords = {out::title} } @article{WOS:000367310500015, @@ -22901,7 +23562,8 @@ unique-id = {WOS:000367406900009}, usage-count-last-180-days = {0}, usage-count-since-2013 = {10}, - web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services} + web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services}, + keywords = {out::title} } @article{WOS:000367935200007, @@ -22949,7 +23611,8 @@ unique-id = {WOS:000368421600012}, usage-count-last-180-days = {14}, usage-count-since-2013 = {71}, - web-of-science-categories = {Anthropology; Public, Environmental \& Occupational Health; Social Sciences, Biomedical} + web-of-science-categories = {Anthropology; Public, Environmental \& Occupational Health; Social Sciences, Biomedical}, + keywords = {out::title} } @article{WOS:000368435200002, @@ -22973,6 +23636,7 @@ usage-count-last-180-days = {0}, usage-count-since-2013 = {21}, web-of-science-categories = {Social Issues; Women's Studies}, + keywords = {out::abstract}, note = {Conference on Revisioning Gender: Complex Inequalities and Global Dimensions, Stockholm, SWEDEN, 2014} } @@ -23019,7 +23683,8 @@ unique-id = {WOS:000368840100010}, usage-count-last-180-days = {1}, usage-count-since-2013 = {14}, - web-of-science-categories = {Medicine, General \& Internal} + web-of-science-categories = {Medicine, General \& Internal}, + keywords = {country::Australia,inequality::gender,method::qualitative,out::abstract,region::AP} } @article{WOS:000369014000007, @@ -23113,7 +23778,8 @@ unique-id = {WOS:000369533700002}, usage-count-last-180-days = {0}, usage-count-since-2013 = {34}, - web-of-science-categories = {Economics; Political Science; Sociology} + web-of-science-categories = {Economics; Political Science; Sociology}, + keywords = {out::abstract} } @article{WOS:000372773400002, @@ -23388,7 +24054,8 @@ unique-id = {WOS:000375542100028}, usage-count-last-180-days = {2}, usage-count-since-2013 = {22}, - web-of-science-categories = {Medicine, General \& Internal} + web-of-science-categories = {Medicine, General \& Internal}, + keywords = {out::title} } @article{WOS:000375571900009, @@ -23591,6 +24258,7 @@ usage-count-last-180-days = {0}, usage-count-since-2013 = {7}, web-of-science-categories = {Education \& Educational Research}, + keywords = {cite::channels,inequality::gender,inequality::income,out::abstract}, note = {8th International Conference of Education, Research and Innovation (ICERI), Seville, SPAIN, NOV 16-20, 2015} } @@ -23938,6 +24606,7 @@ usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, web-of-science-categories = {Education \& Educational Research; Education, Scientific Disciplines; Engineering, Multidisciplinary}, + keywords = {cite::framework,out::title}, note = {ASEE Annual Conference, Indianapolis, IN, JUN 15-18, 2014} } @@ -24264,7 +24933,8 @@ unique-id = {WOS:000389445300003}, usage-count-last-180-days = {0}, usage-count-since-2013 = {30}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {review::narrative,TODO::review} } @article{WOS:000389559100005, @@ -25186,6 +25856,7 @@ usage-count-last-180-days = {1}, usage-count-since-2013 = {3}, web-of-science-categories = {Education \& Educational Research}, + keywords = {out::abstract}, note = {9th International Technology, Education and Development Conference (INTED), Madrid, SPAIN, MAR 02-04, 2015} } @@ -25399,7 +26070,8 @@ unique-id = {WOS:000400483700003}, usage-count-last-180-days = {0}, usage-count-since-2013 = {5}, - web-of-science-categories = {Political Science} + web-of-science-categories = {Political Science}, + keywords = {relevant,TODO::abstract} } @article{WOS:000400524900001, @@ -25704,7 +26376,8 @@ unique-id = {WOS:000402721800007}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Sociology; Women's Studies} + web-of-science-categories = {Sociology; Women's Studies}, + keywords = {out::title} } @article{WOS:000403509500008, @@ -26833,7 +27506,8 @@ unique-id = {WOS:000418036500001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {47}, - web-of-science-categories = {Industrial Relations \& Labor; Management} + web-of-science-categories = {Industrial Relations \& Labor; Management}, + keywords = {cite::channels,country::Spain,inequality::gender,inequality::income,out::abstract,region::EU} } @article{WOS:000418317600003, @@ -26927,7 +27601,8 @@ unique-id = {WOS:000418741700015}, usage-count-last-180-days = {0}, usage-count-since-2013 = {9}, - web-of-science-categories = {Education, Scientific Disciplines; Health Care Sciences \& Services} + web-of-science-categories = {Education, Scientific Disciplines; Health Care Sciences \& Services}, + keywords = {out::abstract} } @article{WOS:000419012300008, @@ -26996,7 +27671,8 @@ unique-id = {WOS:000419457600002}, usage-count-last-180-days = {1}, usage-count-since-2013 = {16}, - web-of-science-categories = {Gerontology} + web-of-science-categories = {Gerontology}, + keywords = {out::title} } @article{WOS:000423094600005, @@ -27042,7 +27718,8 @@ unique-id = {WOS:000423309900012}, usage-count-last-180-days = {2}, usage-count-since-2013 = {23}, - web-of-science-categories = {Gerontology} + web-of-science-categories = {Gerontology}, + keywords = {out::abstract} } @article{WOS:000423872000002, @@ -27065,7 +27742,8 @@ unique-id = {WOS:000423872000002}, usage-count-last-180-days = {0}, usage-count-since-2013 = {9}, - web-of-science-categories = {Geriatrics \& Gerontology; Gerontology} + web-of-science-categories = {Geriatrics \& Gerontology; Gerontology}, + keywords = {out::title} } @article{WOS:000423907200006, @@ -27113,7 +27791,8 @@ unique-id = {WOS:000424701900008}, usage-count-last-180-days = {3}, usage-count-since-2013 = {37}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {cite::channels,country::US,inequality::gender,inequality::health,out::abstract,region::NA,type::maternity\_benefit} } @article{WOS:000424753500003, @@ -27137,7 +27816,8 @@ unique-id = {WOS:000424753500003}, usage-count-last-180-days = {1}, usage-count-since-2013 = {55}, - web-of-science-categories = {Education, Special} + web-of-science-categories = {Education, Special}, + keywords = {out::title} } @article{WOS:000424805500002, @@ -27183,7 +27863,8 @@ unique-id = {WOS:000424852900021}, usage-count-last-180-days = {1}, usage-count-since-2013 = {3}, - web-of-science-categories = {Development Studies; Economics} + web-of-science-categories = {Development Studies; Economics}, + keywords = {cite::channels,country::Indonesia,inequality::disability,inequality::income,out::abstract,region::AP} } @inproceedings{WOS:000425331200015, @@ -27229,7 +27910,11 @@ unique-id = {WOS:000426253900008}, usage-count-last-180-days = {1}, usage-count-since-2013 = {16}, - web-of-science-categories = {Rehabilitation} + web-of-science-categories = {Rehabilitation}, + keywords = {inequality::disability,out::abstract}, + note = {looks at LM outcomes for people w disability; +\par +does NOT look at specific policy intervention, nor effects of/on inequality itself} } @article{WOS:000426372800001, @@ -27252,7 +27937,8 @@ unique-id = {WOS:000426372800001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {8}, - web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services} + web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services}, + keywords = {out::title} } @article{WOS:000426383800017, @@ -27299,7 +27985,8 @@ unique-id = {WOS:000426513000002}, usage-count-last-180-days = {2}, usage-count-since-2013 = {30}, - web-of-science-categories = {Medicine, Research \& Experimental} + web-of-science-categories = {Medicine, Research \& Experimental}, + keywords = {out::abstract} } @article{WOS:000427094400005, @@ -27346,7 +28033,8 @@ unique-id = {WOS:000427339200004}, usage-count-last-180-days = {10}, usage-count-since-2013 = {117}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {country::China,inequality::age,inequality::health,out::abstract,region::AP,type::pension} } @article{WOS:000427446400025, @@ -27369,7 +28057,8 @@ unique-id = {WOS:000427446400025}, usage-count-last-180-days = {0}, usage-count-since-2013 = {4}, - web-of-science-categories = {Multidisciplinary Sciences} + web-of-science-categories = {Multidisciplinary Sciences}, + keywords = {country::Israel,inequality::health,method::qualitative,out::abstract,region::MENA} } @article{WOS:000427662800004, @@ -27393,7 +28082,8 @@ unique-id = {WOS:000427662800004}, usage-count-last-180-days = {0}, usage-count-since-2013 = {5}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::title} } @article{WOS:000427883200009, @@ -27416,7 +28106,8 @@ unique-id = {WOS:000427883200009}, usage-count-last-180-days = {2}, usage-count-since-2013 = {12}, - web-of-science-categories = {Rehabilitation} + web-of-science-categories = {Rehabilitation}, + keywords = {cite::channels,inequality::disability,out::abstract} } @article{WOS:000428112000001, @@ -27442,7 +28133,8 @@ unique-id = {WOS:000428112000001}, usage-count-last-180-days = {4}, usage-count-since-2013 = {53}, - web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services} + web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services}, + keywords = {cite::channels,inequality::health,inequality::racial,out::abstract} } @article{WOS:000428113400006, @@ -27465,7 +28157,8 @@ unique-id = {WOS:000428113400006}, usage-count-last-180-days = {1}, usage-count-since-2013 = {5}, - web-of-science-categories = {Family Studies} + web-of-science-categories = {Family Studies}, + keywords = {cite::channels,country::India,inequality::age,inequality::education,inequality::generational,inequality::health,inequality::poverty,method::qualitative,out::abstract,region::AP} } @article{WOS:000428371000007, @@ -27489,7 +28182,8 @@ unique-id = {WOS:000428371000007}, usage-count-last-180-days = {2}, usage-count-since-2013 = {13}, - web-of-science-categories = {Oncology} + web-of-science-categories = {Oncology}, + keywords = {out::title} } @article{WOS:000428564500017, @@ -27512,7 +28206,8 @@ unique-id = {WOS:000428564500017}, usage-count-last-180-days = {1}, usage-count-since-2013 = {6}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {cite::channels,inequality::disability,method::qualitative,out::abstract} } @article{WOS:000429144500006, @@ -27535,7 +28230,8 @@ unique-id = {WOS:000429144500006}, usage-count-last-180-days = {0}, usage-count-since-2013 = {21}, - web-of-science-categories = {Psychology, Multidisciplinary} + web-of-science-categories = {Psychology, Multidisciplinary}, + keywords = {cite::channels,country::US,inequality::age,inequality::disability,method::qualitative,out::abstract,region::NA} } @article{WOS:000429196500001, @@ -27558,7 +28254,8 @@ unique-id = {WOS:000429196500001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {9}, - web-of-science-categories = {Development Studies} + web-of-science-categories = {Development Studies}, + keywords = {inequality::gender,TODO::full-text,type::trade\_liberalization} } @article{WOS:000429325400003, @@ -27605,7 +28302,8 @@ unique-id = {WOS:000429418400002}, usage-count-last-180-days = {0}, usage-count-since-2013 = {15}, - web-of-science-categories = {Management; Women's Studies} + web-of-science-categories = {Management; Women's Studies}, + keywords = {country::Ireland,inequality::gender,out::abstract,region::EU} } @article{WOS:000429426500006, @@ -27628,7 +28326,8 @@ unique-id = {WOS:000429426500006}, usage-count-last-180-days = {0}, usage-count-since-2013 = {7}, - web-of-science-categories = {Social Issues} + web-of-science-categories = {Social Issues}, + keywords = {out::title} } @article{WOS:000429803300001, @@ -27652,7 +28351,8 @@ unique-id = {WOS:000429803300001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {10}, - web-of-science-categories = {Food Science \& Technology; Nutrition \& Dietetics} + web-of-science-categories = {Food Science \& Technology; Nutrition \& Dietetics}, + keywords = {country::Kenya,inequality::gender,method::qualitative,region::SSA,relevant,TODO::full-text} } @article{WOS:000429851700010, @@ -27675,7 +28375,8 @@ unique-id = {WOS:000429851700010}, usage-count-last-180-days = {0}, usage-count-since-2013 = {16}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {cite::channels,country::India,inequality::gender,inequality::spatial,method::qualitative,out::abstract,region::AP} } @article{WOS:000430051900006, @@ -27698,7 +28399,8 @@ unique-id = {WOS:000430051900006}, usage-count-last-180-days = {0}, usage-count-since-2013 = {11}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {country::Australia,inequality::language,inequality::migration,region::AP,relevant,TODO::full-text} } @article{WOS:000430838200008, @@ -27721,7 +28423,8 @@ unique-id = {WOS:000430838200008}, usage-count-last-180-days = {2}, usage-count-since-2013 = {9}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::channels,country::Cameroon,inequality::gender,inequality::income,out::abstract,region::SSA} } @article{WOS:000431011100001, @@ -27742,7 +28445,8 @@ unique-id = {WOS:000431011100001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {1}, - web-of-science-categories = {Social Work} + web-of-science-categories = {Social Work}, + keywords = {cite::channels,country::Lithuania,inequality::income,out::abstract,region::EU} } @article{WOS:000431142300006, @@ -27765,7 +28469,8 @@ unique-id = {WOS:000431142300006}, usage-count-last-180-days = {0}, usage-count-since-2013 = {13}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {cite::channels,country::Sweden,inequality::gender,out::abstract,region::EU} } @article{WOS:000431849600003, @@ -27787,7 +28492,8 @@ unique-id = {WOS:000431849600003}, usage-count-last-180-days = {1}, usage-count-since-2013 = {12}, - web-of-science-categories = {Family Studies; Health Policy \& Services; Social Sciences, Interdisciplinary} + web-of-science-categories = {Family Studies; Health Policy \& Services; Social Sciences, Interdisciplinary}, + keywords = {inequality::age,inequality::racial,out::review,review::narrative} } @article{WOS:000432405400001, @@ -27810,7 +28516,8 @@ unique-id = {WOS:000432405400001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {12}, - web-of-science-categories = {Education \& Educational Research} + web-of-science-categories = {Education \& Educational Research}, + keywords = {out::abstract} } @article{WOS:000432429600046, @@ -27834,6 +28541,7 @@ usage-count-last-180-days = {0}, usage-count-since-2013 = {10}, web-of-science-categories = {Multidisciplinary Sciences}, + keywords = {inequality::health,out::review,review::systematic,type::rtw}, note = {2nd Advanced Research on Business, Management and Humanities (ARBUHUM), Phuket, THAILAND, OCT 10-12, 2017} } @@ -27857,7 +28565,8 @@ unique-id = {WOS:000432486100003}, usage-count-last-180-days = {4}, usage-count-since-2013 = {33}, - web-of-science-categories = {Social Issues; Social Sciences, Interdisciplinary} + web-of-science-categories = {Social Issues; Social Sciences, Interdisciplinary}, + keywords = {inequality::disability,inequality::income,relevant,TODO::full-text} } @article{WOS:000432673200003, @@ -27880,7 +28589,8 @@ unique-id = {WOS:000432673200003}, usage-count-last-180-days = {0}, usage-count-since-2013 = {35}, - web-of-science-categories = {Management} + web-of-science-categories = {Management}, + keywords = {inequality::gender,inequality::income,out::abstract,review::narrative,TODO::review} } @article{WOS:000432699800010, @@ -27903,7 +28613,8 @@ unique-id = {WOS:000432699800010}, usage-count-last-180-days = {4}, usage-count-since-2013 = {26}, - web-of-science-categories = {Business, Finance} + web-of-science-categories = {Business, Finance}, + keywords = {inequality::income,relevant,TODO::full-text,type::trade\_liberalization} } @article{WOS:000432706800004, @@ -27927,7 +28638,8 @@ unique-id = {WOS:000432706800004}, usage-count-last-180-days = {6}, usage-count-since-2013 = {63}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {country::Japan,inequality::gender,region::AP,relevant,TODO::full-text} } @article{WOS:000432845100001, @@ -27950,7 +28662,8 @@ unique-id = {WOS:000432845100001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {22}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {inequality::health,inequality::income,out::title} } @article{WOS:000432868100014, @@ -27973,7 +28686,8 @@ unique-id = {WOS:000432868100014}, usage-count-last-180-days = {0}, usage-count-since-2013 = {15}, - web-of-science-categories = {Public, Environmental \& Occupational Health; Medicine, General \& Internal} + web-of-science-categories = {Public, Environmental \& Occupational Health; Medicine, General \& Internal}, + keywords = {country::US,inequality::health,region::NA,TODO::abstract,type::minimum\_wage} } @article{WOS:000432937400007, @@ -28020,7 +28734,8 @@ unique-id = {WOS:000433032900003}, usage-count-last-180-days = {2}, usage-count-since-2013 = {19}, - web-of-science-categories = {Rehabilitation; Social Issues} + web-of-science-categories = {Rehabilitation; Social Issues}, + keywords = {inequality::disability,inequality::gender,integrated,out::title,review::systematic} } @article{WOS:000433304500001, @@ -28043,7 +28758,8 @@ unique-id = {WOS:000433304500001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {4}, - web-of-science-categories = {Oncology} + web-of-science-categories = {Oncology}, + keywords = {out::title} } @article{WOS:000433656600003, @@ -28066,7 +28782,8 @@ unique-id = {WOS:000433656600003}, usage-count-last-180-days = {1}, usage-count-since-2013 = {7}, - web-of-science-categories = {Rehabilitation} + web-of-science-categories = {Rehabilitation}, + keywords = {cite::channels,country::Sweden,inequality::disability,out::abstract,region::EU} } @article{WOS:000434097300012, @@ -28090,7 +28807,8 @@ unique-id = {WOS:000434097300012}, usage-count-last-180-days = {3}, usage-count-since-2013 = {55}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {inequality::gender,inequality::generational,inequality::income,TODO::full-text} } @article{WOS:000435121100008, @@ -28114,7 +28832,8 @@ unique-id = {WOS:000435121100008}, usage-count-last-180-days = {5}, usage-count-since-2013 = {19}, - web-of-science-categories = {Business; Management} + web-of-science-categories = {Business; Management}, + keywords = {out::title} } @article{WOS:000435487400006, @@ -28137,7 +28856,11 @@ unique-id = {WOS:000435487400006}, usage-count-last-180-days = {2}, usage-count-since-2013 = {17}, - web-of-science-categories = {Health Care Sciences \& Services} + web-of-science-categories = {Health Care Sciences \& Services}, + keywords = {country::US,inequality::ethnicity,inequality::health,out::abstract,region::NA}, + note = {looking at policy intervention and inequality; +\par +but NOT LM adjacent functions} } @article{WOS:000435491300001, @@ -28163,7 +28886,8 @@ unique-id = {WOS:000435491300001}, usage-count-last-180-days = {9}, usage-count-since-2013 = {268}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::title} } @article{WOS:000435705500007, @@ -28185,7 +28909,8 @@ unique-id = {WOS:000435705500007}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Theater} + web-of-science-categories = {Theater}, + keywords = {out::abstract} } @article{WOS:000435714500007, @@ -28209,7 +28934,11 @@ unique-id = {WOS:000435714500007}, usage-count-last-180-days = {0}, usage-count-since-2013 = {1}, - web-of-science-categories = {Rehabilitation} + web-of-science-categories = {Rehabilitation}, + keywords = {out::abstract,type::rtw}, + note = {looks at policy intervention that is LM adjacent; +\par +but not inequalities in specific} } @article{WOS:000435968800007, @@ -28233,7 +28962,8 @@ unique-id = {WOS:000435968800007}, usage-count-last-180-days = {0}, usage-count-since-2013 = {17}, - web-of-science-categories = {Social Sciences, Interdisciplinary; Sociology} + web-of-science-categories = {Social Sciences, Interdisciplinary; Sociology}, + keywords = {inequality::poverty,region::EU,relevant,TODO::full-text,type::cash\_transfer} } @article{WOS:000436127900004, @@ -28256,7 +28986,8 @@ unique-id = {WOS:000436127900004}, usage-count-last-180-days = {1}, usage-count-since-2013 = {4}, - web-of-science-categories = {Neurosciences} + web-of-science-categories = {Neurosciences}, + keywords = {cite::channels,country::US,inequality::health,inequality::racial,out::abstract,region::NA} } @article{WOS:000436226500014, @@ -28279,7 +29010,8 @@ unique-id = {WOS:000436226500014}, usage-count-last-180-days = {0}, usage-count-since-2013 = {8}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::channels,inequality::income,out::abstract,region::EU} } @article{WOS:000436435400012, @@ -28302,7 +29034,8 @@ unique-id = {WOS:000436435400012}, usage-count-last-180-days = {1}, usage-count-since-2013 = {12}, - web-of-science-categories = {Rehabilitation} + web-of-science-categories = {Rehabilitation}, + keywords = {cite::channels,inequality::disability,out::abstract,review::narrative} } @article{WOS:000436548600011, @@ -28325,7 +29058,8 @@ unique-id = {WOS:000436548600011}, usage-count-last-180-days = {1}, usage-count-since-2013 = {19}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::channels,country::US,inequality::education,inequality::generational,inequality::racial,out::abstract,region::NA} } @article{WOS:000436803600001, @@ -28370,7 +29104,8 @@ unique-id = {WOS:000436915700038}, usage-count-last-180-days = {3}, usage-count-since-2013 = {27}, - web-of-science-categories = {Development Studies; Economics} + web-of-science-categories = {Development Studies; Economics}, + keywords = {country::Tanzania,inequality::income,inequality::spatial,region::SSA,relevant,TODO::full-text,type::infrastructure} } @article{WOS:000437256800005, @@ -28393,7 +29128,8 @@ unique-id = {WOS:000437256800005}, usage-count-last-180-days = {0}, usage-count-since-2013 = {4}, - web-of-science-categories = {Hospitality, Leisure, Sport \& Tourism} + web-of-science-categories = {Hospitality, Leisure, Sport \& Tourism}, + keywords = {out::abstract} } @article{WOS:000437421100001, @@ -28440,7 +29176,8 @@ unique-id = {WOS:000437777800017}, usage-count-last-180-days = {0}, usage-count-since-2013 = {12}, - web-of-science-categories = {Demography} + web-of-science-categories = {Demography}, + keywords = {cite::channels,country::US,inequality::gender,inequality::migration,out::abstract,region::NA} } @article{WOS:000438243400003, @@ -28464,7 +29201,8 @@ unique-id = {WOS:000438243400003}, usage-count-last-180-days = {0}, usage-count-since-2013 = {6}, - web-of-science-categories = {Demography} + web-of-science-categories = {Demography}, + keywords = {out::title} } @article{WOS:000438342200019, @@ -28488,7 +29226,8 @@ unique-id = {WOS:000438342200019}, usage-count-last-180-days = {1}, usage-count-since-2013 = {14}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::title} } @article{WOS:000438348100004, @@ -28511,7 +29250,8 @@ unique-id = {WOS:000438348100004}, usage-count-last-180-days = {0}, usage-count-since-2013 = {5}, - web-of-science-categories = {Primary Health Care} + web-of-science-categories = {Primary Health Care}, + keywords = {method::qualitative,out::title} } @article{WOS:000438563400008, @@ -28535,7 +29275,8 @@ unique-id = {WOS:000438563400008}, usage-count-last-180-days = {0}, usage-count-since-2013 = {15}, - web-of-science-categories = {Social Issues; Social Sciences, Interdisciplinary} + web-of-science-categories = {Social Issues; Social Sciences, Interdisciplinary}, + keywords = {country::Korea,method::qualitative,out::abstract,region::AP} } @article{WOS:000438733800005, @@ -28558,7 +29299,8 @@ unique-id = {WOS:000438733800005}, usage-count-last-180-days = {0}, usage-count-since-2013 = {10}, - web-of-science-categories = {Anthropology} + web-of-science-categories = {Anthropology}, + keywords = {cite::channels,country::Mexico,inequality::education,inequality::spatial,method::qualitative,out::abstract,region::LAC} } @article{WOS:000438866600020, @@ -28581,7 +29323,8 @@ unique-id = {WOS:000438866600020}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Multidisciplinary Sciences} + web-of-science-categories = {Multidisciplinary Sciences}, + keywords = {out::abstract} } @article{WOS:000438935600004, @@ -28605,7 +29348,8 @@ unique-id = {WOS:000438935600004}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Education, Scientific Disciplines} + web-of-science-categories = {Education, Scientific Disciplines}, + keywords = {out::title} } @article{WOS:000439058300004, @@ -28628,7 +29372,8 @@ unique-id = {WOS:000439058300004}, usage-count-last-180-days = {0}, usage-count-since-2013 = {7}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {country::Spain,inequality::gender,method::qualitative,region::EU,relevant,TODO::full-text,type::institutional} } @article{WOS:000439426500002, @@ -28651,7 +29396,8 @@ unique-id = {WOS:000439426500002}, usage-count-last-180-days = {4}, usage-count-since-2013 = {10}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {inequality::gender,region::LAC,relevant,TODO::full-text} } @article{WOS:000439450400006, @@ -28672,7 +29418,8 @@ unique-id = {WOS:000439450400006}, usage-count-last-180-days = {1}, usage-count-since-2013 = {23}, - web-of-science-categories = {Environmental Studies} + web-of-science-categories = {Environmental Studies}, + keywords = {inequality::gender,inequality::migration,method::qualitative,out::abstract} } @article{WOS:000439729600003, @@ -28696,7 +29443,8 @@ unique-id = {WOS:000439729600003}, usage-count-last-180-days = {2}, usage-count-since-2013 = {35}, - web-of-science-categories = {Political Science; Public Administration} + web-of-science-categories = {Political Science; Public Administration}, + keywords = {country::Denmark,out::abstract,region::EU,type::welfare} } @article{WOS:000440211000004, @@ -28719,7 +29467,8 @@ unique-id = {WOS:000440211000004}, usage-count-last-180-days = {0}, usage-count-since-2013 = {9}, - web-of-science-categories = {Social Issues; Social Sciences, Interdisciplinary} + web-of-science-categories = {Social Issues; Social Sciences, Interdisciplinary}, + keywords = {cite::channels,country::Spain,inequality::ethnicity,inequality::gender,inequality::income,out::abstract,region::EU} } @article{WOS:000440782200004, @@ -28742,7 +29491,8 @@ unique-id = {WOS:000440782200004}, usage-count-last-180-days = {0}, usage-count-since-2013 = {9}, - web-of-science-categories = {Substance Abuse} + web-of-science-categories = {Substance Abuse}, + keywords = {out::title} } @article{WOS:000440793400004, @@ -28766,7 +29516,8 @@ unique-id = {WOS:000440793400004}, usage-count-last-180-days = {1}, usage-count-since-2013 = {17}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {out::title} } @article{WOS:000440852800004, @@ -28789,7 +29540,8 @@ unique-id = {WOS:000440852800004}, usage-count-last-180-days = {0}, usage-count-since-2013 = {7}, - web-of-science-categories = {Obstetrics \& Gynecology} + web-of-science-categories = {Obstetrics \& Gynecology}, + keywords = {out::title} } @article{WOS:000440861900006, @@ -28812,7 +29564,8 @@ unique-id = {WOS:000440861900006}, usage-count-last-180-days = {0}, usage-count-since-2013 = {25}, - web-of-science-categories = {Information Science \& Library Science} + web-of-science-categories = {Information Science \& Library Science}, + keywords = {out::title} } @article{WOS:000441037500003, @@ -28836,7 +29589,8 @@ unique-id = {WOS:000441037500003}, usage-count-last-180-days = {0}, usage-count-since-2013 = {5}, - web-of-science-categories = {Social Sciences, Interdisciplinary} + web-of-science-categories = {Social Sciences, Interdisciplinary}, + keywords = {out::title} } @article{WOS:000441960300004, @@ -28859,7 +29613,8 @@ unique-id = {WOS:000441960300004}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {country::Turkey,inequality::gender,method::qualitative,out::abstract,region::MENA} } @article{WOS:000442125200001, @@ -28906,7 +29661,8 @@ unique-id = {WOS:000442231900007}, usage-count-last-180-days = {2}, usage-count-since-2013 = {5}, - web-of-science-categories = {Health Policy \& Services} + web-of-science-categories = {Health Policy \& Services}, + keywords = {cite::channels,country::Greece,inequality::health,inequality::income,inequality::migration,out::abstract,region::EU} } @article{WOS:000442238600012, @@ -28930,7 +29686,8 @@ unique-id = {WOS:000442238600012}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Substance Abuse; Public, Environmental \& Occupational Health} + web-of-science-categories = {Substance Abuse; Public, Environmental \& Occupational Health}, + keywords = {out::title} } @article{WOS:000442853200001, @@ -28954,7 +29711,8 @@ unique-id = {WOS:000442853200001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {19}, - web-of-science-categories = {Gerontology} + web-of-science-categories = {Gerontology}, + keywords = {out::title,type::pension} } @article{WOS:000443211000007, @@ -28977,7 +29735,8 @@ unique-id = {WOS:000443211000007}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {International Relations} + web-of-science-categories = {International Relations}, + keywords = {out::abstract} } @article{WOS:000443348900001, @@ -29000,7 +29759,8 @@ unique-id = {WOS:000443348900001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {7}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {inequality::gender,inequality::generational,out::title,review::scoping} } @article{WOS:000443579600016, @@ -29024,7 +29784,8 @@ unique-id = {WOS:000443579600016}, usage-count-last-180-days = {2}, usage-count-since-2013 = {23}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {country::Finland,inequality::age,inequality::gender,inequality::income,region::EU,TODO::full-text,type::pension} } @article{WOS:000443579600020, @@ -29047,7 +29808,8 @@ unique-id = {WOS:000443579600020}, usage-count-last-180-days = {1}, usage-count-since-2013 = {27}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {cite::channels,inequality::disability,out::abstract} } @article{WOS:000443842300001, @@ -29070,7 +29832,8 @@ unique-id = {WOS:000443842300001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {15}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::abstract} } @article{WOS:000444659600008, @@ -29094,7 +29857,8 @@ unique-id = {WOS:000444659600008}, usage-count-last-180-days = {3}, usage-count-since-2013 = {18}, - web-of-science-categories = {Business} + web-of-science-categories = {Business}, + keywords = {cite::channels,inequality::gender,out::abstract,region::MENA} } @article{WOS:000444978600006, @@ -29118,7 +29882,8 @@ unique-id = {WOS:000444978600006}, usage-count-last-180-days = {2}, usage-count-since-2013 = {32}, - web-of-science-categories = {Medicine, General \& Internal} + web-of-science-categories = {Medicine, General \& Internal}, + keywords = {inequality::gender,out::title,review::systematic} } @article{WOS:000445305000001, @@ -29141,7 +29906,8 @@ unique-id = {WOS:000445305000001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {4}, - web-of-science-categories = {Economics; Public, Environmental \& Occupational Health} + web-of-science-categories = {Economics; Public, Environmental \& Occupational Health}, + keywords = {out::title} } @article{WOS:000446144700010, @@ -29164,7 +29930,8 @@ unique-id = {WOS:000446144700010}, usage-count-last-180-days = {2}, usage-count-since-2013 = {77}, - web-of-science-categories = {Development Studies; Economics} + web-of-science-categories = {Development Studies; Economics}, + keywords = {inequality::spatial,out::abstract,review::narrative,TODO::review} } @article{WOS:000446181900238, @@ -29187,7 +29954,8 @@ unique-id = {WOS:000446181900238}, usage-count-last-180-days = {0}, usage-count-since-2013 = {7}, - web-of-science-categories = {Medicine, General \& Internal} + web-of-science-categories = {Medicine, General \& Internal}, + keywords = {country::Bangladesh,inequality::education,inequality::generational,method::qualitative,method::quantitative,region::AP,relevant,TODO::full-text} } @article{WOS:000446344900013, @@ -29211,7 +29979,8 @@ unique-id = {WOS:000446344900013}, usage-count-last-180-days = {2}, usage-count-since-2013 = {20}, - web-of-science-categories = {Political Science} + web-of-science-categories = {Political Science}, + keywords = {cite::further\_reading,method::qualitative,out::abstract} } @article{WOS:000446531400004, @@ -29233,7 +30002,8 @@ unique-id = {WOS:000446531400004}, usage-count-last-180-days = {1}, usage-count-since-2013 = {10}, - web-of-science-categories = {Law} + web-of-science-categories = {Law}, + keywords = {country::Argentina,inequality::gender,inequality::socio-demographic,region::LAC,relevant,TODO::full-text} } @article{WOS:000446544500014, @@ -29257,7 +30027,9 @@ unique-id = {WOS:000446544500014}, usage-count-last-180-days = {0}, usage-count-since-2013 = {7}, - web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services; Public, Environmental \& Occupational Health} + web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services; Public, Environmental \& Occupational Health}, + keywords = {inequality::disability,relevant,TODO::full-text}, + note = {looks at inequality; LM markers; policy intervention (in Medicaid programme independent variable)} } @article{WOS:000447278800007, @@ -29281,7 +30053,8 @@ unique-id = {WOS:000447278800007}, usage-count-last-180-days = {1}, usage-count-since-2013 = {15}, - web-of-science-categories = {Management; Women's Studies} + web-of-science-categories = {Management; Women's Studies}, + keywords = {country::Hungary,inequality::gender,region::EU,TODO::full-text,type::maternity\_benefit} } @inproceedings{WOS:000447408801116, @@ -29304,6 +30077,7 @@ usage-count-last-180-days = {0}, usage-count-since-2013 = {1}, web-of-science-categories = {Education \& Educational Research}, + keywords = {cite::channels,inequality::age,inequality::education,inequality::generational,out::abstract}, note = {12th International Technology, Education and Development Conference (INTED), Valencia, SPAIN, MAR 05-07, 2018} } @@ -29328,7 +30102,8 @@ unique-id = {WOS:000447618200012}, usage-count-last-180-days = {0}, usage-count-since-2013 = {3}, - web-of-science-categories = {Public, Environmental \& Occupational Health; Medicine, General \& Internal} + web-of-science-categories = {Public, Environmental \& Occupational Health; Medicine, General \& Internal}, + keywords = {out::title} } @inproceedings{WOS:000447668100042, @@ -29352,6 +30127,7 @@ usage-count-last-180-days = {1}, usage-count-since-2013 = {3}, web-of-science-categories = {Agriculture, Multidisciplinary; Environmental Sciences}, + keywords = {out::title}, note = {4th International Conference on Sustainable Agriculture and Environment (ICSAE), Surakarta, INDONESIA, AUG 10-12, 2017} } @@ -29399,7 +30175,8 @@ unique-id = {WOS:000450332600004}, usage-count-last-180-days = {157}, usage-count-since-2013 = {2246}, - web-of-science-categories = {Ethics; Medical Ethics; Social Issues; Social Sciences, Biomedical} + web-of-science-categories = {Ethics; Medical Ethics; Social Issues; Social Sciences, Biomedical}, + keywords = {out::title} } @article{WOS:000450513200001, @@ -29422,7 +30199,11 @@ unique-id = {WOS:000450513200001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {9}, - web-of-science-categories = {Public, Environmental \& Occupational Health; Obstetrics \& Gynecology} + web-of-science-categories = {Public, Environmental \& Occupational Health; Obstetrics \& Gynecology}, + keywords = {country::Tanzania,inequality::gender,out::abstract,region::SSA}, + note = {looks at inequality; +\par +does NOT look at LM adjacent markers; policy intervention} } @article{WOS:000450528600003, @@ -29446,7 +30227,11 @@ unique-id = {WOS:000450528600003}, usage-count-last-180-days = {4}, usage-count-since-2013 = {43}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {inequality::generational,inequality::health,inequality::income,relevant,TODO::full-text,type::minimum\_wage}, + note = {looks at inequality; LM adjacent features +\par +might be relevant due to focus on minimum wage policy interventions} } @inproceedings{WOS:000450585000046, @@ -29468,6 +30253,7 @@ usage-count-last-180-days = {0}, usage-count-since-2013 = {1}, web-of-science-categories = {Economics; Regional \& Urban Planning}, + keywords = {inequality::gender,out::abstract}, note = {9th International Scientific Conference on Economic and Social Development (ESD), Varazdin Dev \& Entrepreneurship Agcy, Istanbul, TURKEY, APR 09-10, 2015} } @@ -29492,7 +30278,8 @@ unique-id = {WOS:000450806500001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {12}, - web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services} + web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services}, + keywords = {country::Guatemala,inequality::health,inequality::poverty,inequality::spatial,out::abstract,region::LAC} } @article{WOS:000451081700014, @@ -29515,7 +30302,8 @@ unique-id = {WOS:000451081700014}, usage-count-last-180-days = {0}, usage-count-since-2013 = {15}, - web-of-science-categories = {Green \& Sustainable Science \& Technology; Energy \& Fuels} + web-of-science-categories = {Green \& Sustainable Science \& Technology; Energy \& Fuels}, + keywords = {cite::channels,country::Liberia,inequality::age,inequality::socio-demographic,out::abstract,region::MENA} } @article{WOS:000452566100005, @@ -29538,7 +30326,8 @@ unique-id = {WOS:000452566100005}, usage-count-last-180-days = {6}, usage-count-since-2013 = {89}, - web-of-science-categories = {Geography; Regional \& Urban Planning} + web-of-science-categories = {Geography; Regional \& Urban Planning}, + keywords = {country::US,inequality::spatial,region::NA,TODO::full-text} } @article{WOS:000452634400004, @@ -29562,7 +30351,8 @@ unique-id = {WOS:000452634400004}, usage-count-last-180-days = {0}, usage-count-since-2013 = {4}, - web-of-science-categories = {Public, Environmental \& Occupational Health; Social Work} + web-of-science-categories = {Public, Environmental \& Occupational Health; Social Work}, + keywords = {inequality::gender,inequality::health,inequality::spatial,out::title} } @article{WOS:000452669300003, @@ -29586,7 +30376,8 @@ unique-id = {WOS:000452669300003}, usage-count-last-180-days = {0}, usage-count-since-2013 = {11}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {out::abstract} } @article{WOS:000452729000001, @@ -29610,7 +30401,8 @@ unique-id = {WOS:000452729000001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {19}, - web-of-science-categories = {Development Studies; Economics} + web-of-science-categories = {Development Studies; Economics}, + keywords = {out::abstract} } @article{WOS:000452783400003, @@ -29634,7 +30426,8 @@ unique-id = {WOS:000452783400003}, usage-count-last-180-days = {1}, usage-count-since-2013 = {11}, - web-of-science-categories = {Health Policy \& Services; Public, Environmental \& Occupational Health; Psychology, Multidisciplinary; Respiratory System; Social Sciences, Biomedical} + web-of-science-categories = {Health Policy \& Services; Public, Environmental \& Occupational Health; Psychology, Multidisciplinary; Respiratory System; Social Sciences, Biomedical}, + keywords = {out::title} } @article{WOS:000453183200014, @@ -29677,6 +30470,7 @@ usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, web-of-science-categories = {Industrial Relations \& Labor; Law; Social Issues}, + keywords = {inequality::disability,out::abstract}, note = {Conference on The Right to Work for Persons with Disabilities - International Perspectives, Kassel, GERMANY, MAR 08-10, 2017} } @@ -29699,7 +30493,8 @@ unique-id = {WOS:000454059900001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {15}, - web-of-science-categories = {Computer Science, Information Systems; Engineering, Electrical \& Electronic; Telecommunications} + web-of-science-categories = {Computer Science, Information Systems; Engineering, Electrical \& Electronic; Telecommunications}, + keywords = {country::China,inequality::spatial,region::AP,relevant,TODO::full-text} } @article{WOS:000454467200036, @@ -29722,7 +30517,8 @@ unique-id = {WOS:000454467200036}, usage-count-last-180-days = {1}, usage-count-since-2013 = {21}, - web-of-science-categories = {Environmental Studies; International Relations} + web-of-science-categories = {Environmental Studies; International Relations}, + keywords = {out::abstract} } @article{WOS:000454642800005, @@ -29745,7 +30541,8 @@ unique-id = {WOS:000454642800005}, usage-count-last-180-days = {0}, usage-count-since-2013 = {3}, - web-of-science-categories = {Health Policy \& Services; Public, Environmental \& Occupational Health; Psychology, Multidisciplinary; Respiratory System; Social Sciences, Biomedical} + web-of-science-categories = {Health Policy \& Services; Public, Environmental \& Occupational Health; Psychology, Multidisciplinary; Respiratory System; Social Sciences, Biomedical}, + keywords = {country::Botswana,inequality::age,inequality::gender,inequality::poverty,region::SSA,relevant,TODO::full-text,type::structural} } @article{WOS:000454774900011, @@ -29769,7 +30566,8 @@ unique-id = {WOS:000454774900011}, usage-count-last-180-days = {0}, usage-count-since-2013 = {10}, - web-of-science-categories = {Health Policy \& Services} + web-of-science-categories = {Health Policy \& Services}, + keywords = {out::title} } @article{WOS:000454949600002, @@ -29793,7 +30591,8 @@ unique-id = {WOS:000454949600002}, usage-count-last-180-days = {3}, usage-count-since-2013 = {30}, - web-of-science-categories = {Economics; Women's Studies} + web-of-science-categories = {Economics; Women's Studies}, + keywords = {cite::framework,inequality::gender,out::abstract} } @article{WOS:000455085500005, @@ -29816,12 +30615,16 @@ unique-id = {WOS:000455085500005}, usage-count-last-180-days = {0}, usage-count-since-2013 = {7}, - web-of-science-categories = {Area Studies} + web-of-science-categories = {Area Studies}, + keywords = {country::Italy,inequality::migration,out::abstract,region::EU}, + note = {looks at inequality; looks partly at LM adjacency; +\par +does NOT look at specific policy interventions} } @inproceedings{WOS:000455655600012, type = {Proceedings Paper}, - title = {{{WOMEN}}'{{S EMPOWERMENT AND WELFARE TRAFORMATION IN THE CONTEXT OF MICROCREDIT IN TURKEY}}}, + title = {Women's Empowerment and Welfare Transformation in the Context of Microcredit in Turkey}, booktitle = {Global Business Research Congress (Gbrc)}, author = {Sarica, Y. Pinar Soykut and Cagli, Elif}, editor = {Guner, {\relax AB} and Teker, D and Teker, S and Teraman, {\relax BS}}, @@ -29841,6 +30644,7 @@ usage-count-last-180-days = {2}, usage-count-since-2013 = {5}, web-of-science-categories = {Business; Ergonomics}, + keywords = {cite::channels,country::Turkey,inequality::gender,out::abstract,region::MENA,type::microcredit}, note = {Global Business Research Congress (GBRC), Istanbul, TURKEY, JUN 04-05, 2015} } @@ -29865,7 +30669,8 @@ unique-id = {WOS:000455914800003}, usage-count-last-180-days = {0}, usage-count-since-2013 = {3}, - web-of-science-categories = {Development Studies} + web-of-science-categories = {Development Studies}, + keywords = {cite::channels,country::West\_Bank,inequality::gender,out::abstract,region::MENA} } @article{WOS:000456064500001, @@ -29889,7 +30694,8 @@ unique-id = {WOS:000456064500001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {24}, - web-of-science-categories = {Environmental Studies; Management; Public Administration} + web-of-science-categories = {Environmental Studies; Management; Public Administration}, + keywords = {country::South\_Africa,inequality::income,out::abstract,region::SSA,review::narrative,TODO::review} } @article{WOS:000456088600004, @@ -29913,7 +30719,8 @@ unique-id = {WOS:000456088600004}, usage-count-last-180-days = {0}, usage-count-since-2013 = {10}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::abstract} } @inproceedings{WOS:000456256700003, @@ -29934,6 +30741,7 @@ usage-count-last-180-days = {0}, usage-count-since-2013 = {4}, web-of-science-categories = {Social Issues; Women's Studies}, + keywords = {country::Russia,out::abstract,region::AP}, note = {5th International Conference on Women \& Gender Studies, Bangkok, THAILAND, JUN 29-30, 2018} } @@ -29958,7 +30766,8 @@ unique-id = {WOS:000456442700003}, usage-count-last-180-days = {0}, usage-count-since-2013 = {12}, - web-of-science-categories = {Public, Environmental \& Occupational Health; Pharmacology \& Pharmacy} + web-of-science-categories = {Public, Environmental \& Occupational Health; Pharmacology \& Pharmacy}, + keywords = {out::title} } @article{WOS:000456737300006, @@ -29982,7 +30791,8 @@ unique-id = {WOS:000456737300006}, usage-count-last-180-days = {2}, usage-count-since-2013 = {27}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {cite::channels,inequality::gender,inequality::income,out::abstract,region::EU,type::maternity\_benefit} } @inproceedings{WOS:000456927000034, @@ -30031,7 +30841,8 @@ unique-id = {WOS:000456972900006}, usage-count-last-180-days = {4}, usage-count-since-2013 = {60}, - web-of-science-categories = {Agriculture, Multidisciplinary; Green \& Sustainable Science \& Technology} + web-of-science-categories = {Agriculture, Multidisciplinary; Green \& Sustainable Science \& Technology}, + keywords = {inequality::gender,out::title,region::SSA,review::systematic} } @article{WOS:000457012100044, @@ -30054,7 +30865,8 @@ unique-id = {WOS:000457012100044}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Social Sciences, Interdisciplinary} + web-of-science-categories = {Social Sciences, Interdisciplinary}, + keywords = {out::title} } @article{WOS:000457504700007, @@ -30077,7 +30889,8 @@ unique-id = {WOS:000457504700007}, usage-count-last-180-days = {3}, usage-count-since-2013 = {33}, - web-of-science-categories = {Development Studies; Economics} + web-of-science-categories = {Development Studies; Economics}, + keywords = {country::Ecuador,inequality::age,inequality::gender,inequality::income,inequality::poverty,region::LAC,relevant,TODO::full-text,type::minimum\_wage} } @article{WOS:000458029100006, @@ -30101,7 +30914,8 @@ unique-id = {WOS:000458029100006}, usage-count-last-180-days = {0}, usage-count-since-2013 = {4}, - web-of-science-categories = {Psychology, Clinical; Rehabilitation} + web-of-science-categories = {Psychology, Clinical; Rehabilitation}, + keywords = {cite::channels,country::US,inequality::disability,inequality::gender,inequality::income,inequality::racial,out::abstract,region::NA} } @article{WOS:000458332300005, @@ -30125,7 +30939,8 @@ unique-id = {WOS:000458332300005}, usage-count-last-180-days = {0}, usage-count-since-2013 = {34}, - web-of-science-categories = {Development Studies; Economics} + web-of-science-categories = {Development Studies; Economics}, + keywords = {cite::channels,inequality::gender,inequality::income,out::abstract} } @article{WOS:000458709800019, @@ -30148,7 +30963,8 @@ unique-id = {WOS:000458709800019}, usage-count-last-180-days = {3}, usage-count-since-2013 = {56}, - web-of-science-categories = {Economics; Transportation} + web-of-science-categories = {Economics; Transportation}, + keywords = {cite::channels,country::Canada,inequality::socio-demographic,inequality::spatial,out::abstract,region::NA} } @article{WOS:000459291700003, @@ -30172,7 +30988,8 @@ unique-id = {WOS:000459291700003}, usage-count-last-180-days = {5}, usage-count-since-2013 = {53}, - web-of-science-categories = {Business} + web-of-science-categories = {Business}, + keywords = {cite::channels,country::Jordan,inequality::gender,method::qualitative,out::abstract,region::MENA} } @article{WOS:000459553100003, @@ -30196,7 +31013,8 @@ unique-id = {WOS:000459553100003}, usage-count-last-180-days = {1}, usage-count-since-2013 = {20}, - web-of-science-categories = {Management} + web-of-science-categories = {Management}, + keywords = {inequality::age,method::qualitative,out::abstract} } @article{WOS:000459623200006, @@ -30219,7 +31037,8 @@ unique-id = {WOS:000459623200006}, usage-count-last-180-days = {0}, usage-count-since-2013 = {7}, - web-of-science-categories = {Education \& Educational Research} + web-of-science-categories = {Education \& Educational Research}, + keywords = {out::abstract} } @article{WOS:000460184600007, @@ -30242,7 +31061,8 @@ unique-id = {WOS:000460184600007}, usage-count-last-180-days = {2}, usage-count-since-2013 = {49}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {cite::framework,inequality::gender,method::qualitative,out::abstract} } @incollection{WOS:000460290600009, @@ -30266,7 +31086,8 @@ unique-id = {WOS:000460290600009}, usage-count-last-180-days = {2}, usage-count-since-2013 = {61}, - web-of-science-categories = {Psychology, Applied; Management} + web-of-science-categories = {Psychology, Applied; Management}, + keywords = {out::abstract,review::narrative} } @article{WOS:000460406100001, @@ -30286,7 +31107,8 @@ unique-id = {WOS:000460406100001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {5}, - web-of-science-categories = {Law} + web-of-science-categories = {Law}, + keywords = {cite::framework,inequality::income,out::abstract,type::trade\_liberalization} } @article{WOS:000461121600009, @@ -30335,7 +31157,8 @@ unique-id = {WOS:000461873300009}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {History} + web-of-science-categories = {History}, + keywords = {out::title} } @article{WOS:000462071200002, @@ -30359,7 +31182,8 @@ unique-id = {WOS:000462071200002}, usage-count-last-180-days = {0}, usage-count-since-2013 = {31}, - web-of-science-categories = {Industrial Relations \& Labor; Management} + web-of-science-categories = {Industrial Relations \& Labor; Management}, + keywords = {cite::channels,country::Britain,inequality::income,out::abstract,region::EU,type::collective\_action} } @article{WOS:000462109800001, @@ -30382,7 +31206,8 @@ unique-id = {WOS:000462109800001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {8}, - web-of-science-categories = {Social Sciences, Interdisciplinary} + web-of-science-categories = {Social Sciences, Interdisciplinary}, + keywords = {cite::channels,country::Finland,country::US,inequality::gender,inequality::generational,out::abstract,region::EU,region::NA} } @article{WOS:000462693700024, @@ -30405,7 +31230,8 @@ unique-id = {WOS:000462693700024}, usage-count-last-180-days = {3}, usage-count-since-2013 = {19}, - web-of-science-categories = {Development Studies; Economics} + web-of-science-categories = {Development Studies; Economics}, + keywords = {cite::channels,inequality::gender,out::abstract,type::trade\_liberalization} } @article{WOS:000463163600004, @@ -30429,7 +31255,8 @@ unique-id = {WOS:000463163600004}, usage-count-last-180-days = {1}, usage-count-since-2013 = {11}, - web-of-science-categories = {Development Studies; Public Administration; Social Issues; Social Work} + web-of-science-categories = {Development Studies; Public Administration; Social Issues; Social Work}, + keywords = {cite::channels,country::Kazakhstan,country::Mongolia,country::Russia,inequality::gender,inequality::generational,out::abstract,region::AP} } @article{WOS:000463889900001, @@ -30453,7 +31280,8 @@ unique-id = {WOS:000463889900001}, usage-count-last-180-days = {6}, usage-count-since-2013 = {43}, - web-of-science-categories = {Industrial Relations \& Labor; Sociology} + web-of-science-categories = {Industrial Relations \& Labor; Sociology}, + keywords = {cite::channels,inequality::gender,inequality::income,out::abstract,region::EU} } @inproceedings{WOS:000464091900021, @@ -30501,7 +31329,8 @@ unique-id = {WOS:000464656700006}, usage-count-last-180-days = {1}, usage-count-since-2013 = {7}, - web-of-science-categories = {Anthropology; Social Sciences, Interdisciplinary} + web-of-science-categories = {Anthropology; Social Sciences, Interdisciplinary}, + keywords = {cite::channels,country::Australia,inequality::racial,inequality::socio-demographic,method::qualitative,out::abstract,region::AP} } @article{WOS:000465003400003, @@ -30525,7 +31354,8 @@ unique-id = {WOS:000465003400003}, usage-count-last-180-days = {0}, usage-count-since-2013 = {29}, - web-of-science-categories = {International Relations; Political Science} + web-of-science-categories = {International Relations; Political Science}, + keywords = {out::title} } @article{WOS:000465413100020, @@ -30549,7 +31379,8 @@ unique-id = {WOS:000465413100020}, usage-count-last-180-days = {0}, usage-count-since-2013 = {7}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::title} } @article{WOS:000465945700001, @@ -30572,7 +31403,8 @@ unique-id = {WOS:000465945700001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {4}, - web-of-science-categories = {Rehabilitation} + web-of-science-categories = {Rehabilitation}, + keywords = {out::title} } @article{WOS:000466379700001, @@ -30595,7 +31427,8 @@ unique-id = {WOS:000466379700001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {11}, - web-of-science-categories = {Psychology, Applied} + web-of-science-categories = {Psychology, Applied}, + keywords = {cite::channels,country::Kenya,inequality::gender,out::abstract,region::SSA} } @inproceedings{WOS:000466742800022, @@ -30639,7 +31472,8 @@ unique-id = {WOS:000467014900003}, usage-count-last-180-days = {1}, usage-count-since-2013 = {3}, - web-of-science-categories = {Law} + web-of-science-categories = {Law}, + keywords = {cite::channels,method::qualitative,out::abstract,type::collective\_action} } @article{WOS:000467019900010, @@ -30662,7 +31496,8 @@ unique-id = {WOS:000467019900010}, usage-count-last-180-days = {6}, usage-count-since-2013 = {18}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {cite::channels,inequality::age,inequality::health,method::qualitative,out::abstract,type::rtw} } @article{WOS:000467434300002, @@ -30686,7 +31521,8 @@ unique-id = {WOS:000467434300002}, usage-count-last-180-days = {0}, usage-count-since-2013 = {13}, - web-of-science-categories = {Management; Women's Studies} + web-of-science-categories = {Management; Women's Studies}, + keywords = {country::Britain,inequality::gender,inequality::income,region::EU,relevant,TODO::full-text} } @article{WOS:000467669200007, @@ -30709,7 +31545,8 @@ unique-id = {WOS:000467669200007}, usage-count-last-180-days = {2}, usage-count-since-2013 = {20}, - web-of-science-categories = {Engineering, Industrial; Operations Research \& Management Science} + web-of-science-categories = {Engineering, Industrial; Operations Research \& Management Science}, + keywords = {out::title} } @article{WOS:000467860700021, @@ -30733,7 +31570,8 @@ unique-id = {WOS:000467860700021}, usage-count-last-180-days = {0}, usage-count-since-2013 = {12}, - web-of-science-categories = {Political Science; Sociology} + web-of-science-categories = {Political Science; Sociology}, + keywords = {cite::channels,inequality::ethnicity,inequality::income,out::abstract,type::minimum\_wage} } @article{WOS:000468651600001, @@ -30758,7 +31596,8 @@ unique-id = {WOS:000468651600001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {22}, - web-of-science-categories = {Political Science; Public Administration} + web-of-science-categories = {Political Science; Public Administration}, + keywords = {country::Poland,inequality::gender,inequality::generational,region::EU,relevant,TODO::full-text} } @article{WOS:000469365600003, @@ -30782,7 +31621,8 @@ unique-id = {WOS:000469365600003}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Psychology, Applied} + web-of-science-categories = {Psychology, Applied}, + keywords = {cite::channels,country::Australia,inequality::disability,inequality::education,inequality::income,out::abstract,region::AP} } @article{WOS:000469384400010, @@ -30806,7 +31646,8 @@ unique-id = {WOS:000469384400010}, usage-count-last-180-days = {0}, usage-count-since-2013 = {25}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {out::abstract} } @article{WOS:000469518700090, @@ -30829,7 +31670,8 @@ unique-id = {WOS:000469518700090}, usage-count-last-180-days = {2}, usage-count-since-2013 = {16}, - web-of-science-categories = {Green \& Sustainable Science \& Technology; Environmental Sciences; Environmental Studies} + web-of-science-categories = {Green \& Sustainable Science \& Technology; Environmental Sciences; Environmental Studies}, + keywords = {country::Romania,inequality::income,region::EU,relevant,TODO::full-text,type::minimum\_wage} } @article{WOS:000469805500004, @@ -30851,7 +31693,8 @@ unique-id = {WOS:000469805500004}, usage-count-last-180-days = {0}, usage-count-since-2013 = {5}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::channels,inequality::consumption,inequality::income,out::abstract,type::collective\_action} } @article{WOS:000469824700004, @@ -30874,7 +31717,8 @@ unique-id = {WOS:000469824700004}, usage-count-last-180-days = {3}, usage-count-since-2013 = {25}, - web-of-science-categories = {Industrial Relations \& Labor; Management} + web-of-science-categories = {Industrial Relations \& Labor; Management}, + keywords = {cite::channels,country::Spain,inequality::gender,inequality::income,inequality::migration,inequality::poverty,intersectional,out::abstract,region::EU} } @article{WOS:000469998300003, @@ -30898,7 +31742,8 @@ unique-id = {WOS:000469998300003}, usage-count-last-180-days = {0}, usage-count-since-2013 = {10}, - web-of-science-categories = {Psychiatry; Rehabilitation} + web-of-science-categories = {Psychiatry; Rehabilitation}, + keywords = {cite::channels,country::US,inequality::disability,out::abstract,region::NA} } @article{WOS:000470120000005, @@ -30921,7 +31766,8 @@ unique-id = {WOS:000470120000005}, usage-count-last-180-days = {2}, usage-count-since-2013 = {30}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {cite::channels,country::Netherlands,inequality::ethnicity,inequality::gender,out::abstract,region::EU} } @article{WOS:000470123800005, @@ -30943,7 +31789,8 @@ unique-id = {WOS:000470123800005}, usage-count-last-180-days = {0}, usage-count-since-2013 = {12}, - web-of-science-categories = {Development Studies} + web-of-science-categories = {Development Studies}, + keywords = {country::Canada,inequality::education,inequality::migration,out::abstract,region::NA} } @article{WOS:000470135800003, @@ -30966,7 +31813,8 @@ unique-id = {WOS:000470135800003}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {out::abstract} } @article{WOS:000470343600016, @@ -30990,7 +31838,8 @@ unique-id = {WOS:000470343600016}, usage-count-last-180-days = {1}, usage-count-since-2013 = {10}, - web-of-science-categories = {Obstetrics \& Gynecology} + web-of-science-categories = {Obstetrics \& Gynecology}, + keywords = {out::title} } @article{WOS:000470518200001, @@ -31015,7 +31864,8 @@ unique-id = {WOS:000470518200001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {7}, - web-of-science-categories = {Nutrition \& Dietetics} + web-of-science-categories = {Nutrition \& Dietetics}, + keywords = {out::title} } @article{WOS:000470769000010, @@ -31039,7 +31889,8 @@ unique-id = {WOS:000470769000010}, usage-count-last-180-days = {0}, usage-count-since-2013 = {6}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::title} } @article{WOS:000470887400006, @@ -31062,12 +31913,13 @@ unique-id = {WOS:000470887400006}, usage-count-last-180-days = {2}, usage-count-since-2013 = {9}, - web-of-science-categories = {Industrial Relations \& Labor} + web-of-science-categories = {Industrial Relations \& Labor}, + keywords = {country::Spain,inequality::gender,method::qualitative,out::abstract,region::EU} } @article{WOS:000470901000010, type = {{Article}}, - title = {{FEMINIZATION OF THE TEACHING PROFESSION: A SOCIOCULTURAL ANALYSIS OF THE GENDER EVOLUTION OF EDUCATIONAL WORK IN GERMANY}}, + title = {{Feminization of the teaching profession: a sociocultural analysis of the gender evolution of educational work in germany}}, author = {Danilova, Larisa N.}, year = {2019}, month = apr, @@ -31085,7 +31937,8 @@ unique-id = {WOS:000470901000010}, usage-count-last-180-days = {2}, usage-count-since-2013 = {17}, - web-of-science-categories = {Social Sciences, Interdisciplinary} + web-of-science-categories = {Social Sciences, Interdisciplinary}, + keywords = {cite::channels,country::Germany,inequality::gender,method::qualitative,out::abstract,region::EU} } @article{WOS:000470937100004, @@ -31109,7 +31962,8 @@ unique-id = {WOS:000470937100004}, usage-count-last-180-days = {1}, usage-count-since-2013 = {11}, - web-of-science-categories = {Management; Women's Studies} + web-of-science-categories = {Management; Women's Studies}, + keywords = {out::title} } @article{WOS:000471001000002, @@ -31132,7 +31986,8 @@ unique-id = {WOS:000471001000002}, usage-count-last-180-days = {3}, usage-count-since-2013 = {10}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::title} } @article{WOS:000471144900130, @@ -31155,7 +32010,8 @@ unique-id = {WOS:000471144900130}, usage-count-last-180-days = {0}, usage-count-since-2013 = {8}, - web-of-science-categories = {Medicine, General \& Internal} + web-of-science-categories = {Medicine, General \& Internal}, + keywords = {out::title} } @article{WOS:000471156400010, @@ -31179,7 +32035,8 @@ unique-id = {WOS:000471156400010}, usage-count-last-180-days = {1}, usage-count-since-2013 = {11}, - web-of-science-categories = {Geriatrics \& Gerontology; Gerontology; Psychiatry} + web-of-science-categories = {Geriatrics \& Gerontology; Gerontology; Psychiatry}, + keywords = {out::title} } @article{WOS:000471198600026, @@ -31202,7 +32059,8 @@ unique-id = {WOS:000471198600026}, usage-count-last-180-days = {1}, usage-count-since-2013 = {17}, - web-of-science-categories = {Medicine, General \& Internal} + web-of-science-categories = {Medicine, General \& Internal}, + keywords = {inequality::health,out::title} } @article{WOS:000471206500012, @@ -31225,7 +32083,8 @@ unique-id = {WOS:000471206500012}, usage-count-last-180-days = {0}, usage-count-since-2013 = {19}, - web-of-science-categories = {Economics; Geography; Transportation} + web-of-science-categories = {Economics; Geography; Transportation}, + keywords = {cite::channels,country::Saudi\_Arabia,inequality::gender,inequality::spatial,out::abstract,region::MENA} } @article{WOS:000471245500001, @@ -31248,7 +32107,8 @@ unique-id = {WOS:000471245500001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {21}, - web-of-science-categories = {Peripheral Vascular Disease} + web-of-science-categories = {Peripheral Vascular Disease}, + keywords = {out::title} } @article{WOS:000471604500005, @@ -31270,7 +32130,8 @@ unique-id = {WOS:000471604500005}, usage-count-last-180-days = {0}, usage-count-since-2013 = {3}, - web-of-science-categories = {Geography, Physical} + web-of-science-categories = {Geography, Physical}, + keywords = {out::title} } @inproceedings{WOS:000471634700028, @@ -31292,6 +32153,7 @@ usage-count-last-180-days = {1}, usage-count-since-2013 = {20}, web-of-science-categories = {Social Issues}, + keywords = {cite::channels,inequality::gender,out::abstract,region::EU}, note = {2nd International Conference on Gender Research (ICGR), Roma Tre Univ, Ipazia Sci Observ Gender Issues, Rome, ITALY, APR 11-12, 2019} } @@ -31314,6 +32176,7 @@ usage-count-last-180-days = {0}, usage-count-since-2013 = {3}, web-of-science-categories = {Social Issues}, + keywords = {cite::channels,inequality::gender,out::abstract}, note = {2nd International Conference on Gender Research (ICGR), Roma Tre Univ, Ipazia Sci Observ Gender Issues, Rome, ITALY, APR 11-12, 2019} } @@ -31338,7 +32201,8 @@ unique-id = {WOS:000471771800004}, usage-count-last-180-days = {0}, usage-count-since-2013 = {9}, - web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services; Public, Environmental \& Occupational Health; Rehabilitation} + web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services; Public, Environmental \& Occupational Health; Rehabilitation}, + keywords = {inequality::disability,inequality::health,out::title} } @article{WOS:000472053900001, @@ -31361,7 +32225,8 @@ unique-id = {WOS:000472053900001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {16}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::title} } @article{WOS:000472156500013, @@ -31384,7 +32249,8 @@ unique-id = {WOS:000472156500013}, usage-count-last-180-days = {0}, usage-count-since-2013 = {5}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {cite::channels,country::Spain,inequality::gender,method::qualitative,out::abstract,region::EU} } @article{WOS:000472236200040, @@ -31408,7 +32274,8 @@ unique-id = {WOS:000472236200040}, usage-count-last-180-days = {2}, usage-count-since-2013 = {86}, - web-of-science-categories = {Medicine, General \& Internal} + web-of-science-categories = {Medicine, General \& Internal}, + keywords = {inequality::gender,inequality::generational,inequality::health,relevant,review::narrative,TODO::review} } @article{WOS:000472695000004, @@ -31432,6 +32299,7 @@ usage-count-last-180-days = {0}, usage-count-since-2013 = {7}, web-of-science-categories = {Economics}, + keywords = {cite::channels,country::Italy,inequality::gender,out::abstract,region::EU,type::collective\_action}, note = {15th International Conference on Developments in Economic Theory and Policy, Bilbao, SPAIN, JUN 28-29, 2018} } @@ -31455,7 +32323,8 @@ unique-id = {WOS:000472705800016}, usage-count-last-180-days = {4}, usage-count-since-2013 = {47}, - web-of-science-categories = {Geography; Regional \& Urban Planning} + web-of-science-categories = {Geography; Regional \& Urban Planning}, + keywords = {country::Kenya,inequality::gender,inequality::income,inequality::spatial,region::SSA,TODO::full-text} } @article{WOS:000472907500002, @@ -31479,7 +32348,8 @@ unique-id = {WOS:000472907500002}, usage-count-last-180-days = {14}, usage-count-since-2013 = {56}, - web-of-science-categories = {Demography} + web-of-science-categories = {Demography}, + keywords = {cite::channels,inequality::gender,inequality::generational,out::abstract} } @article{WOS:000473099400006, @@ -31503,7 +32373,8 @@ unique-id = {WOS:000473099400006}, usage-count-last-180-days = {0}, usage-count-since-2013 = {10}, - web-of-science-categories = {Geriatrics \& Gerontology; Gerontology} + web-of-science-categories = {Geriatrics \& Gerontology; Gerontology}, + keywords = {out::title} } @article{WOS:000473234300009, @@ -31527,7 +32398,8 @@ unique-id = {WOS:000473234300009}, usage-count-last-180-days = {0}, usage-count-since-2013 = {13}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {country::Taiwan,inequality::gender,inequality::income,region::AP,TODO::full-text} } @article{WOS:000473656800001, @@ -31552,7 +32424,8 @@ unique-id = {WOS:000473656800001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {14}, - web-of-science-categories = {Women's Studies} + web-of-science-categories = {Women's Studies}, + keywords = {out::abstract} } @article{WOS:000474245400011, @@ -31576,7 +32449,8 @@ unique-id = {WOS:000474245400011}, usage-count-last-180-days = {0}, usage-count-since-2013 = {7}, - web-of-science-categories = {Political Science} + web-of-science-categories = {Political Science}, + keywords = {out::abstract} } @article{WOS:000474498900006, @@ -31599,7 +32473,8 @@ unique-id = {WOS:000474498900006}, usage-count-last-180-days = {2}, usage-count-since-2013 = {44}, - web-of-science-categories = {Environmental Sciences} + web-of-science-categories = {Environmental Sciences}, + keywords = {out::title} } @article{WOS:000474682700001, @@ -31623,7 +32498,8 @@ unique-id = {WOS:000474682700001}, usage-count-last-180-days = {4}, usage-count-since-2013 = {19}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::channels,inequality::education,inequality::income,out::abstract} } @article{WOS:000474757900001, @@ -31646,7 +32522,8 @@ unique-id = {WOS:000474757900001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {16}, - web-of-science-categories = {Social Sciences, Interdisciplinary} + web-of-science-categories = {Social Sciences, Interdisciplinary}, + keywords = {cite::channels,country::US,inequality::disability,out::abstract,region::NA} } @article{WOS:000475096800001, @@ -31671,7 +32548,8 @@ unique-id = {WOS:000475096800001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {10}, - web-of-science-categories = {Public, Environmental \& Occupational Health; Social Work} + web-of-science-categories = {Public, Environmental \& Occupational Health; Social Work}, + keywords = {cite::channels,country::Australia,inequality::disability,inequality::income,out::abstract,region::AP} } @article{WOS:000475785700005, @@ -31695,7 +32573,8 @@ unique-id = {WOS:000475785700005}, usage-count-last-180-days = {0}, usage-count-since-2013 = {5}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {country::Japan,inequality::gender,inequality::generational,region::AP,TODO::full-text} } @article{WOS:000475981900008, @@ -31719,7 +32598,8 @@ unique-id = {WOS:000475981900008}, usage-count-last-180-days = {0}, usage-count-since-2013 = {6}, - web-of-science-categories = {Anthropology; Environmental Studies; Sociology} + web-of-science-categories = {Anthropology; Environmental Studies; Sociology}, + keywords = {country::Morocco,inequality::gender,region::MENA,TODO::full-text} } @article{WOS:000476576100001, @@ -31742,7 +32622,8 @@ unique-id = {WOS:000476576100001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {26}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::title} } @article{WOS:000476884300003, @@ -31766,7 +32647,8 @@ unique-id = {WOS:000476884300003}, usage-count-last-180-days = {1}, usage-count-since-2013 = {13}, - web-of-science-categories = {Rehabilitation} + web-of-science-categories = {Rehabilitation}, + keywords = {cite::channels,country::Armenia,inequality::disability,out::abstract,region::AP} } @article{WOS:000477001600001, @@ -31790,7 +32672,8 @@ unique-id = {WOS:000477001600001}, usage-count-last-180-days = {5}, usage-count-since-2013 = {79}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::further\_reading,inequality::income,out::title} } @article{WOS:000477260700001, @@ -31815,7 +32698,8 @@ unique-id = {WOS:000477260700001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {21}, - web-of-science-categories = {Development Studies; Green \& Sustainable Science \& Technology; Regional \& Urban Planning} + web-of-science-categories = {Development Studies; Green \& Sustainable Science \& Technology; Regional \& Urban Planning}, + keywords = {cite::channels,country::Nigeria,inequality::education,inequality::gender,inequality::health,out::abstract,region::SSA} } @article{WOS:000477890100001, @@ -31838,7 +32722,8 @@ unique-id = {WOS:000477890100001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {8}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::title} } @article{WOS:000478397900001, @@ -31863,7 +32748,8 @@ unique-id = {WOS:000478397900001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {10}, - web-of-science-categories = {Family Studies; Social Sciences, Biomedical} + web-of-science-categories = {Family Studies; Social Sciences, Biomedical}, + keywords = {out::title} } @article{WOS:000478650000003, @@ -31887,7 +32773,8 @@ unique-id = {WOS:000478650000003}, usage-count-last-180-days = {1}, usage-count-since-2013 = {11}, - web-of-science-categories = {Development Studies; Public Administration; Social Issues; Social Work} + web-of-science-categories = {Development Studies; Public Administration; Social Issues; Social Work}, + keywords = {country::Australia,inequality::income,region::AP,TODO::full-text,type::trade\_liberalization} } @article{WOS:000478655300019, @@ -31910,7 +32797,8 @@ unique-id = {WOS:000478655300019}, usage-count-last-180-days = {4}, usage-count-since-2013 = {12}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::channels,country::Ukraine,inequality::gender,inequality::income,inequality::spatial,method::qualitative,out::abstract,region::EU} } @article{WOS:000478814300004, @@ -31933,7 +32821,8 @@ unique-id = {WOS:000478814300004}, usage-count-last-180-days = {0}, usage-count-since-2013 = {3}, - web-of-science-categories = {Primary Health Care} + web-of-science-categories = {Primary Health Care}, + keywords = {out::title} } @article{WOS:000478935700006, @@ -31956,7 +32845,8 @@ unique-id = {WOS:000478935700006}, usage-count-last-180-days = {2}, usage-count-since-2013 = {17}, - web-of-science-categories = {Hospitality, Leisure, Sport \& Tourism} + web-of-science-categories = {Hospitality, Leisure, Sport \& Tourism}, + keywords = {out::abstract} } @article{WOS:000479364800001, @@ -31981,7 +32871,8 @@ unique-id = {WOS:000479364800001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {10}, - web-of-science-categories = {Management; Women's Studies} + web-of-science-categories = {Management; Women's Studies}, + keywords = {out::abstract} } @article{WOS:000480260400009, @@ -32005,7 +32896,8 @@ unique-id = {WOS:000480260400009}, usage-count-last-180-days = {1}, usage-count-since-2013 = {1}, - web-of-science-categories = {Industrial Relations \& Labor} + web-of-science-categories = {Industrial Relations \& Labor}, + keywords = {cite::channels,country::Australia,inequality::income,out::abstract,region::AP,type::collective\_action} } @article{WOS:000481137500001, @@ -32030,7 +32922,8 @@ unique-id = {WOS:000481137500001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {1}, - web-of-science-categories = {History; History Of Social Sciences; Industrial Relations \& Labor} + web-of-science-categories = {History; History Of Social Sciences; Industrial Relations \& Labor}, + keywords = {out::title} } @article{WOS:000481342900001, @@ -32055,7 +32948,8 @@ unique-id = {WOS:000481342900001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {16}, - web-of-science-categories = {Education \& Educational Research} + web-of-science-categories = {Education \& Educational Research}, + keywords = {out::title} } @article{WOS:000482245600013, @@ -32078,7 +32972,8 @@ unique-id = {WOS:000482245600013}, usage-count-last-180-days = {1}, usage-count-since-2013 = {23}, - web-of-science-categories = {Development Studies; Economics} + web-of-science-categories = {Development Studies; Economics}, + keywords = {out::title} } @article{WOS:000482810000001, @@ -32103,7 +32998,8 @@ unique-id = {WOS:000482810000001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {5}, - web-of-science-categories = {Education \& Educational Research; Psychology, Educational; Psychology, Developmental} + web-of-science-categories = {Education \& Educational Research; Psychology, Educational; Psychology, Developmental}, + keywords = {out::abstract} } @article{WOS:000484927300023, @@ -32126,7 +33022,8 @@ unique-id = {WOS:000484927300023}, usage-count-last-180-days = {0}, usage-count-since-2013 = {24}, - web-of-science-categories = {Multidisciplinary Sciences} + web-of-science-categories = {Multidisciplinary Sciences}, + keywords = {country::Malaysia,inequality::health,inequality::migration,out::abstract,region::AP} } @incollection{WOS:000485280200022, @@ -32150,7 +33047,8 @@ unique-id = {WOS:000485280200022}, usage-count-last-180-days = {0}, usage-count-since-2013 = {13}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {out::abstract} } @article{WOS:000486107800013, @@ -32173,7 +33071,8 @@ unique-id = {WOS:000486107800013}, usage-count-last-180-days = {2}, usage-count-since-2013 = {24}, - web-of-science-categories = {Development Studies; Economics} + web-of-science-categories = {Development Studies; Economics}, + keywords = {cite::further\_reading,country::Mexico,inequality::ethnicity,inequality::racial,out::abstract,region::LAC,type::cash\_transfer} } @article{WOS:000486108800008, @@ -32197,7 +33096,8 @@ unique-id = {WOS:000486108800008}, usage-count-last-180-days = {6}, usage-count-since-2013 = {45}, - web-of-science-categories = {Business} + web-of-science-categories = {Business}, + keywords = {cite::framework,inequality::gender,out::abstract} } @article{WOS:000486720100001, @@ -32222,7 +33122,8 @@ unique-id = {WOS:000486720100001}, usage-count-last-180-days = {7}, usage-count-since-2013 = {44}, - web-of-science-categories = {Economics; Women's Studies} + web-of-science-categories = {Economics; Women's Studies}, + keywords = {cite::channels,inequality::gender,method::quantitative,out::abstract,type::institutional,type::marketization,type::trade\_liberalization} } @article{WOS:000487007200010, @@ -32246,7 +33147,8 @@ unique-id = {WOS:000487007200010}, usage-count-last-180-days = {2}, usage-count-since-2013 = {15}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {country::Australia,inequality::gender,method::qualitative,out::abstract,region::AP} } @incollection{WOS:000487242600004, @@ -32269,7 +33171,8 @@ unique-id = {WOS:000487242600004}, usage-count-last-180-days = {0}, usage-count-since-2013 = {4}, - web-of-science-categories = {Demography; Social Issues} + web-of-science-categories = {Demography; Social Issues}, + keywords = {cite::channels,country::New\_Zealand,inequality::migration,method::qualitative,out::abstract,region::AP} } @article{WOS:000487339100003, @@ -32291,7 +33194,8 @@ unique-id = {WOS:000487339100003}, usage-count-last-180-days = {1}, usage-count-since-2013 = {7}, - web-of-science-categories = {Business, Finance} + web-of-science-categories = {Business, Finance}, + keywords = {cite::channels,country::India,inequality::gender,inequality::income,out::abstract,region::AP} } @incollection{WOS:000489273300005, @@ -32314,7 +33218,8 @@ unique-id = {WOS:000489273300005}, usage-count-last-180-days = {2}, usage-count-since-2013 = {14}, - web-of-science-categories = {Education \& Educational Research} + web-of-science-categories = {Education \& Educational Research}, + keywords = {out::title} } @article{WOS:000489610400012, @@ -32337,7 +33242,8 @@ unique-id = {WOS:000489610400012}, usage-count-last-180-days = {0}, usage-count-since-2013 = {11}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {inequality::health,inequality::migration,out::abstract} } @article{WOS:000489705100001, @@ -32360,7 +33266,8 @@ unique-id = {WOS:000489705100001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {3}, - web-of-science-categories = {Social Issues; Women's Studies} + web-of-science-categories = {Social Issues; Women's Studies}, + keywords = {out::title} } @article{WOS:000491087800007, @@ -32384,7 +33291,8 @@ unique-id = {WOS:000491087800007}, usage-count-last-180-days = {1}, usage-count-since-2013 = {19}, - web-of-science-categories = {Health Policy \& Services} + web-of-science-categories = {Health Policy \& Services}, + keywords = {inequality::disability,inequality::health,out::abstract} } @article{WOS:000491685300010, @@ -32407,7 +33315,8 @@ unique-id = {WOS:000491685300010}, usage-count-last-180-days = {6}, usage-count-since-2013 = {69}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::channels,inequality::gender,out::abstract,region::EU} } @article{WOS:000491708700001, @@ -32432,7 +33341,8 @@ unique-id = {WOS:000491708700001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {17}, - web-of-science-categories = {Family Studies; Social Sciences, Biomedical} + web-of-science-categories = {Family Studies; Social Sciences, Biomedical}, + keywords = {inequality::gender,method::qualitative,out::abstract} } @article{WOS:000491908900004, @@ -32456,7 +33366,8 @@ unique-id = {WOS:000491908900004}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Pharmacology \& Pharmacy} + web-of-science-categories = {Pharmacology \& Pharmacy}, + keywords = {out::title} } @article{WOS:000492031800010, @@ -32480,7 +33391,8 @@ unique-id = {WOS:000492031800010}, usage-count-last-180-days = {0}, usage-count-since-2013 = {25}, - web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services; Public, Environmental \& Occupational Health} + web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services; Public, Environmental \& Occupational Health}, + keywords = {cite::channels,country::US,inequality::disability,out::abstract,region::NA} } @article{WOS:000492354900001, @@ -32505,7 +33417,8 @@ unique-id = {WOS:000492354900001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {6}, - web-of-science-categories = {Psychiatry} + web-of-science-categories = {Psychiatry}, + keywords = {cite::channels,inequality::disability,method::quantitative,out::abstract} } @article{WOS:000492408700001, @@ -32529,7 +33442,8 @@ unique-id = {WOS:000492408700001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {3}, - web-of-science-categories = {Women's Studies} + web-of-science-categories = {Women's Studies}, + keywords = {out::abstract} } @article{WOS:000493090800014, @@ -32553,7 +33467,8 @@ unique-id = {WOS:000493090800014}, usage-count-last-180-days = {4}, usage-count-since-2013 = {16}, - web-of-science-categories = {Development Studies; Economics} + web-of-science-categories = {Development Studies; Economics}, + keywords = {cite::channels,inequality::income,inequality::spatial,out::abstract} } @article{WOS:000493401900004, @@ -32577,7 +33492,8 @@ unique-id = {WOS:000493401900004}, usage-count-last-180-days = {0}, usage-count-since-2013 = {1}, - web-of-science-categories = {Rehabilitation} + web-of-science-categories = {Rehabilitation}, + keywords = {out::abstract} } @article{WOS:000493603700001, @@ -32600,7 +33516,8 @@ unique-id = {WOS:000493603700001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {18}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::channels,inequality::gender,inequality::income,out::abstract,region::LAC} } @article{WOS:000493955700008, @@ -32648,7 +33565,8 @@ unique-id = {WOS:000494046300015}, usage-count-last-180-days = {0}, usage-count-since-2013 = {4}, - web-of-science-categories = {Substance Abuse} + web-of-science-categories = {Substance Abuse}, + keywords = {out::title} } @article{WOS:000494155000001, @@ -32673,7 +33591,8 @@ unique-id = {WOS:000494155000001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {20}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {out::title} } @article{WOS:000495099300012, @@ -32697,7 +33616,8 @@ unique-id = {WOS:000495099300012}, usage-count-last-180-days = {2}, usage-count-since-2013 = {53}, - web-of-science-categories = {Rehabilitation; Social Issues} + web-of-science-categories = {Rehabilitation; Social Issues}, + keywords = {inequality::disability,out::title,review::systematic,TODO::review} } @article{WOS:000496757200146, @@ -32720,7 +33640,8 @@ unique-id = {WOS:000496757200146}, usage-count-last-180-days = {1}, usage-count-since-2013 = {8}, - web-of-science-categories = {Agriculture, Dairy \& Animal Science; Veterinary Sciences; Zoology} + web-of-science-categories = {Agriculture, Dairy \& Animal Science; Veterinary Sciences; Zoology}, + keywords = {out::title} } @article{WOS:000496920300030, @@ -32746,7 +33667,8 @@ unique-id = {WOS:000496920300030}, usage-count-last-180-days = {3}, usage-count-since-2013 = {38}, - web-of-science-categories = {Medicine, General \& Internal} + web-of-science-categories = {Medicine, General \& Internal}, + keywords = {out::title} } @article{WOS:000497746000002, @@ -32769,7 +33691,8 @@ unique-id = {WOS:000497746000002}, usage-count-last-180-days = {0}, usage-count-since-2013 = {5}, - web-of-science-categories = {Psychiatry} + web-of-science-categories = {Psychiatry}, + keywords = {country::Timor-Leste,inequality::health,out::title,region::AP} } @article{WOS:000500120800001, @@ -32794,7 +33717,8 @@ unique-id = {WOS:000500120800001}, usage-count-last-180-days = {5}, usage-count-since-2013 = {11}, - web-of-science-categories = {Industrial Relations \& Labor} + web-of-science-categories = {Industrial Relations \& Labor}, + keywords = {country::Ghana,inequality::gender,method::qualitative,region::SSA,relevant,TODO::full-text} } @article{WOS:000500713200001, @@ -32818,7 +33742,8 @@ unique-id = {WOS:000500713200001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {6}, - web-of-science-categories = {Women's Studies} + web-of-science-categories = {Women's Studies}, + keywords = {out::abstract} } @article{WOS:000500748100001, @@ -32843,7 +33768,8 @@ unique-id = {WOS:000500748100001}, usage-count-last-180-days = {5}, usage-count-since-2013 = {26}, - web-of-science-categories = {Business, Finance; Economics; International Relations} + web-of-science-categories = {Business, Finance; Economics; International Relations}, + keywords = {country::China,region::NA,relevant,TODO::full-text,type::trade\_liberalization} } @article{WOS:000501224300004, @@ -32867,7 +33793,8 @@ unique-id = {WOS:000501224300004}, usage-count-last-180-days = {2}, usage-count-since-2013 = {7}, - web-of-science-categories = {Public Administration; Social Issues} + web-of-science-categories = {Public Administration; Social Issues}, + keywords = {cite::channels,country::Norway,inequality::gender,inequality::generational,out::abstract,region::EU} } @article{WOS:000501555400001, @@ -32892,7 +33819,8 @@ unique-id = {WOS:000501555400001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {9}, - web-of-science-categories = {Education, Special; Rehabilitation} + web-of-science-categories = {Education, Special; Rehabilitation}, + keywords = {country::Australia,inequality::disability,region::AP,TODO::full-text} } @article{WOS:000501641200044, @@ -32915,7 +33843,8 @@ unique-id = {WOS:000501641200044}, usage-count-last-180-days = {3}, usage-count-since-2013 = {17}, - web-of-science-categories = {Physics, Multidisciplinary} + web-of-science-categories = {Physics, Multidisciplinary}, + keywords = {relevant,TODO::abstract} } @article{WOS:000501746200001, @@ -32940,7 +33869,8 @@ unique-id = {WOS:000501746200001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {23}, - web-of-science-categories = {Information Science \& Library Science} + web-of-science-categories = {Information Science \& Library Science}, + keywords = {out::title} } @article{WOS:000502794400016, @@ -32963,7 +33893,8 @@ unique-id = {WOS:000502794400016}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Surgery} + web-of-science-categories = {Surgery}, + keywords = {out::abstract} } @article{WOS:000502818100006, @@ -32986,7 +33917,8 @@ unique-id = {WOS:000502818100006}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Regional \& Urban Planning} + web-of-science-categories = {Regional \& Urban Planning}, + keywords = {out::title} } @article{WOS:000502871100001, @@ -33011,7 +33943,8 @@ unique-id = {WOS:000502871100001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {10}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {inequality::racial,out::abstract,type::collective\_action} } @article{WOS:000502887100002, @@ -33034,7 +33967,8 @@ unique-id = {WOS:000502887100002}, usage-count-last-180-days = {0}, usage-count-since-2013 = {19}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::framework,inequality::income,inequality::spatial,out::abstract} } @article{WOS:000502978700001, @@ -33059,7 +33993,8 @@ unique-id = {WOS:000502978700001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {22}, - web-of-science-categories = {Management} + web-of-science-categories = {Management}, + keywords = {cite::channels,country::Malaysia,inequality::gender,inequality::migration,method::qualitative,out::abstract,region::AP} } @article{WOS:000503419400002, @@ -33082,12 +34017,13 @@ unique-id = {WOS:000503419400002}, usage-count-last-180-days = {1}, usage-count-since-2013 = {16}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::channels,country::Spain,inequality::age,inequality::gender,inequality::income,out::abstract,region::EU,type::cooperative\_entrepreneurship} } @article{WOS:000503551600001, type = {Article}, - title = {`{{Cycles}} of Disadvantage' Revisited: Young People, Families and Poverty across Generations*}, + title = {'{{Cycles}} of Disadvantage' Revisited: Young People, Families and Poverty across Generations}, author = {MacDonald, Robert and Shildrick, Tracy and Furlong, Andy}, year = {2020}, month = jan, @@ -33107,7 +34043,8 @@ unique-id = {WOS:000503551600001}, usage-count-last-180-days = {4}, usage-count-since-2013 = {16}, - web-of-science-categories = {Social Sciences, Interdisciplinary} + web-of-science-categories = {Social Sciences, Interdisciplinary}, + keywords = {out::title} } @article{WOS:000503716400001, @@ -33132,7 +34069,8 @@ unique-id = {WOS:000503716400001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Gerontology} + web-of-science-categories = {Gerontology}, + keywords = {out::title} } @article{WOS:000503720700001, @@ -33156,7 +34094,8 @@ unique-id = {WOS:000503720700001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {12}, - web-of-science-categories = {Women's Studies} + web-of-science-categories = {Women's Studies}, + keywords = {out::title} } @article{WOS:000503809100009, @@ -33179,7 +34118,8 @@ unique-id = {WOS:000503809100009}, usage-count-last-180-days = {1}, usage-count-since-2013 = {6}, - web-of-science-categories = {Transportation} + web-of-science-categories = {Transportation}, + keywords = {cite::channels,inequality::education,inequality::income,out::abstract} } @article{WOS:000503851700001, @@ -33204,7 +34144,8 @@ unique-id = {WOS:000503851700001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {3}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {country::Cyprus,inequality::health,inequality::migration,out::title,region::EU} } @article{WOS:000504578900001, @@ -33228,7 +34169,8 @@ unique-id = {WOS:000504578900001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {3}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {inequality::racial,out::abstract} } @article{WOS:000505933400001, @@ -33253,7 +34195,8 @@ unique-id = {WOS:000505933400001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {6}, - web-of-science-categories = {Dermatology} + web-of-science-categories = {Dermatology}, + keywords = {out::title} } @article{WOS:000506713800019, @@ -33277,7 +34220,8 @@ unique-id = {WOS:000506713800019}, usage-count-last-180-days = {0}, usage-count-since-2013 = {5}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::channels,inequality::gender,method::quantitative,out::abstract,region::MENA} } @article{WOS:000508039100001, @@ -33302,7 +34246,11 @@ unique-id = {WOS:000508039100001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {38}, - web-of-science-categories = {Family Studies; Sociology} + web-of-science-categories = {Family Studies; Sociology}, + keywords = {out::abstract}, + note = {inequality; policy; +\par +no LM adjacency} } @article{WOS:000508355700011, @@ -33325,7 +34273,8 @@ unique-id = {WOS:000508355700011}, usage-count-last-180-days = {0}, usage-count-since-2013 = {9}, - web-of-science-categories = {Public, Environmental \& Occupational Health; Medicine, General \& Internal} + web-of-science-categories = {Public, Environmental \& Occupational Health; Medicine, General \& Internal}, + keywords = {out::title} } @article{WOS:000508477300002, @@ -33373,7 +34322,8 @@ unique-id = {WOS:000508750500013}, usage-count-last-180-days = {2}, usage-count-since-2013 = {14}, - web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services} + web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services}, + keywords = {out::title} } @article{WOS:000509400100008, @@ -33397,7 +34347,8 @@ unique-id = {WOS:000509400100008}, usage-count-last-180-days = {0}, usage-count-since-2013 = {8}, - web-of-science-categories = {Psychology, Clinical} + web-of-science-categories = {Psychology, Clinical}, + keywords = {inequality::age,inequality::disability,TODO::full-text,type::training} } @article{WOS:000509532800001, @@ -33422,7 +34373,8 @@ unique-id = {WOS:000509532800001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {13}, - web-of-science-categories = {Management} + web-of-science-categories = {Management}, + keywords = {cite::channels,inequality::education,inequality::gender,inequality::income,out::abstract,region::SSA} } @article{WOS:000509788300004, @@ -33445,7 +34397,8 @@ unique-id = {WOS:000509788300004}, usage-count-last-180-days = {2}, usage-count-since-2013 = {10}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::framework,inequality::income,out::abstract,type::taxation} } @article{WOS:000509921200006, @@ -33467,7 +34420,8 @@ unique-id = {WOS:000509921200006}, usage-count-last-180-days = {2}, usage-count-since-2013 = {33}, - web-of-science-categories = {Area Studies} + web-of-science-categories = {Area Studies}, + keywords = {cite::channels,country::China,inequality::education,inequality::migration,out::abstract,region::NA} } @article{WOS:000510823700029, @@ -33490,7 +34444,8 @@ unique-id = {WOS:000510823700029}, usage-count-last-180-days = {17}, usage-count-since-2013 = {143}, - web-of-science-categories = {Green \& Sustainable Science \& Technology; Engineering, Environmental; Environmental Sciences} + web-of-science-categories = {Green \& Sustainable Science \& Technology; Engineering, Environmental; Environmental Sciences}, + keywords = {country::China,inequality::income,inequality::spatial,region::AP,relevant,TODO::full-text,type::structural} } @article{WOS:000511249100001, @@ -33515,7 +34470,8 @@ unique-id = {WOS:000511249100001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {22}, - web-of-science-categories = {Business; Management} + web-of-science-categories = {Business; Management}, + keywords = {inequality::gender,out::abstract} } @article{WOS:000511639000001, @@ -33538,7 +34494,8 @@ unique-id = {WOS:000511639000001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {24}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {inequality::health,out::title,review::umbrella} } @article{WOS:000512857200001, @@ -33563,7 +34520,8 @@ unique-id = {WOS:000512857200001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {6}, - web-of-science-categories = {Political Science} + web-of-science-categories = {Political Science}, + keywords = {out::abstract,region::EU} } @article{WOS:000512916100001, @@ -33588,7 +34546,8 @@ unique-id = {WOS:000512916100001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {11}, - web-of-science-categories = {Psychology, Educational; Rehabilitation} + web-of-science-categories = {Psychology, Educational; Rehabilitation}, + keywords = {inequality::disability,TODO::full-text} } @article{WOS:000513067400001, @@ -33613,7 +34572,8 @@ unique-id = {WOS:000513067400001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {33}, - web-of-science-categories = {Psychology, Social; Sociology} + web-of-science-categories = {Psychology, Social; Sociology}, + keywords = {cite::further\_reading,inequality::income,out::title,region::EU} } @article{WOS:000514105200003, @@ -33636,7 +34596,8 @@ unique-id = {WOS:000514105200003}, usage-count-last-180-days = {6}, usage-count-since-2013 = {25}, - web-of-science-categories = {Social Sciences, Interdisciplinary} + web-of-science-categories = {Social Sciences, Interdisciplinary}, + keywords = {cite::channels,country::Spain,inequality::socio-demographic,inequality::spatial,out::abstract,region::EU} } @article{WOS:000514461400007, @@ -33660,7 +34621,8 @@ unique-id = {WOS:000514461400007}, usage-count-last-180-days = {15}, usage-count-since-2013 = {142}, - web-of-science-categories = {Business; Management} + web-of-science-categories = {Business; Management}, + keywords = {inequality::gender,method::qualitative,relevant,TODO::full-text} } @article{WOS:000514545100005, @@ -33683,7 +34645,8 @@ unique-id = {WOS:000514545100005}, usage-count-last-180-days = {4}, usage-count-since-2013 = {18}, - web-of-science-categories = {Business; Management; Transportation} + web-of-science-categories = {Business; Management; Transportation}, + keywords = {cite::channels,country::Colombia,country::Kenya,country::Mexico,country::South\_Africa,country::Thailand,inequality::gender,method::qualitative,out::abstract,region::AP,region::LAC,region::SSA} } @article{WOS:000514833200047, @@ -33706,7 +34669,8 @@ unique-id = {WOS:000514833200047}, usage-count-last-180-days = {1}, usage-count-since-2013 = {18}, - web-of-science-categories = {Environmental Sciences; Meteorology \& Atmospheric Sciences} + web-of-science-categories = {Environmental Sciences; Meteorology \& Atmospheric Sciences}, + keywords = {cite::channels,country::US,inequality::gender,inequality::income,inequality::racial,inequality::spatial,out::abstract,region::NA} } @article{WOS:000515380600001, @@ -33731,7 +34695,8 @@ unique-id = {WOS:000515380600001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {25}, - web-of-science-categories = {Management} + web-of-science-categories = {Management}, + keywords = {inequality::gender,method::qualitative,out::abstract} } @article{WOS:000515381000001, @@ -33756,7 +34721,8 @@ unique-id = {WOS:000515381000001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Management} + web-of-science-categories = {Management}, + keywords = {cite::channels,country::US,inequality::racial,inequality::spatial,out::abstract,region::NA} } @article{WOS:000515427900010, @@ -33779,7 +34745,8 @@ unique-id = {WOS:000515427900010}, usage-count-last-180-days = {3}, usage-count-since-2013 = {29}, - web-of-science-categories = {Development Studies; Economics} + web-of-science-categories = {Development Studies; Economics}, + keywords = {cite::further\_reading,inequality::gender,out::abstract} } @article{WOS:000515976400001, @@ -33804,7 +34771,8 @@ unique-id = {WOS:000515976400001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {6}, - web-of-science-categories = {Gerontology} + web-of-science-categories = {Gerontology}, + keywords = {country::Italy,inequality::age,region::EU,relevant,TODO::full-text} } @article{WOS:000516017300004, @@ -33818,7 +34786,7 @@ number = {2}, pages = {193--215}, doi = {10.1177/1468017318793479}, - abstract = {Comparative international data on patterns of inequality in child welfare interventions, for example, the proportion of children about whom there are substantiated child protection concerns or who are in out-of-home care, are far less developed than data about inequalities in health. Few countries collect reliable, comprehensive information and definitions, methods of data collection and analysis are rarely consistent. The four UK countries (England, Northern Ireland, Scotland and Wales) provide a potential `natural experiment' for comparing intervention patterns. This study reports on a large quantitative, descriptive study focusing on children in contact with children's services on a single date in 2015. It found that children's chances of receiving a child protection intervention were related to family socio-economic circumstances, measured by neighbourhood deprivation, within all four countries. There was a strong social gradient which was significantly steeper in some countries than others. Ethnicity was another important factor underlying inequalities. While inequalities in patterns of intervention between the four countries were considerable, they did not mirror relative levels of deprivation in the child population. Inequalities in intervention rates result from a combination of demand and supply factors. The level and extent of inequity raise profound ethical, economic and practical challenges to those involved in child protection, the wider society and the state.}, + abstract = {Comparative international data on patterns of inequality in child welfare interventions, for example, the proportion of children about whom there are substantiated child protection concerns or who are in out-of-home care, are far less developed than data about inequalities in health. Few countries collect reliable, comprehensive information and definitions, methods of data collection and analysis are rarely consistent. The four UK countries (England, Northern Ireland, Scotland and Wales) provide a potential 'natural experiment' for comparing intervention patterns. This study reports on a large quantitative, descriptive study focusing on children in contact with children's services on a single date in 2015. It found that children's chances of receiving a child protection intervention were related to family socio-economic circumstances, measured by neighbourhood deprivation, within all four countries. There was a strong social gradient which was significantly steeper in some countries than others. Ethnicity was another important factor underlying inequalities. While inequalities in patterns of intervention between the four countries were considerable, they did not mirror relative levels of deprivation in the child population. Inequalities in intervention rates result from a combination of demand and supply factors. The level and extent of inequity raise profound ethical, economic and practical challenges to those involved in child protection, the wider society and the state.}, affiliation = {Scourfield, J (Corresponding Author), Cardiff Sch Social Sci, Glamorgan Bldg,Edward VII Ave, Cardiff CF10 3WT, Wales. Bywaters, Paul, Univ Huddersfield, Huddersfield, W Yorkshire, England. Scourfield, Jonathan; Elliott, Martin, Cardiff Univ, Cardiff, Wales. Jones, Chantel; Sparks, Tim, Coventry Univ, Coventry, W Midlands, England. Hooper, Jade; Shapira, Marina, Univ Stirling, Stirling, Scotland. McCartan, Claire; Bunting, Lisa, Queens Univ, Belfast, Antrim, North Ireland. Daniel, Brigid, Queen Margarets Univ, Edinburgh, Midlothian, Scotland.}, author-email = {Scourfield@cardiff.ac.uk}, da = {2023-11-02}, @@ -33828,7 +34796,8 @@ unique-id = {WOS:000516017300004}, usage-count-last-180-days = {2}, usage-count-since-2013 = {26}, - web-of-science-categories = {Social Work} + web-of-science-categories = {Social Work}, + keywords = {cite::channels,country::Britain,inequality::education,inequality::generational,inequality::racial,inequality::socio-demographic,out::abstract,region::EU} } @article{WOS:000516425000001, @@ -33853,7 +34822,8 @@ unique-id = {WOS:000516425000001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {17}, - web-of-science-categories = {Psychology, Multidisciplinary; Women's Studies} + web-of-science-categories = {Psychology, Multidisciplinary; Women's Studies}, + keywords = {out::title} } @article{WOS:000516726700001, @@ -33878,7 +34848,8 @@ unique-id = {WOS:000516726700001}, usage-count-last-180-days = {4}, usage-count-since-2013 = {27}, - web-of-science-categories = {Education \& Educational Research} + web-of-science-categories = {Education \& Educational Research}, + keywords = {cite::channels,country::Czech\_Republic,inequality::gender,out::abstract,region::EU,type::training} } @article{WOS:000516727900001, @@ -33903,7 +34874,8 @@ unique-id = {WOS:000516727900001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {4}, - web-of-science-categories = {History; History Of Social Sciences; Industrial Relations \& Labor} + web-of-science-categories = {History; History Of Social Sciences; Industrial Relations \& Labor}, + keywords = {cite::channels,country::Sweden,inequality::income,out::abstract,region::EU} } @article{WOS:000517335200001, @@ -33928,7 +34900,8 @@ unique-id = {WOS:000517335200001}, usage-count-last-180-days = {10}, usage-count-since-2013 = {43}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {cite::channels,inequality::education,inequality::gender,out::abstract,region::EU} } @article{WOS:000517661700011, @@ -33951,7 +34924,8 @@ unique-id = {WOS:000517661700011}, usage-count-last-180-days = {0}, usage-count-since-2013 = {1}, - web-of-science-categories = {Family Studies; Social Work} + web-of-science-categories = {Family Studies; Social Work}, + keywords = {out::title} } @article{WOS:000519113300013, @@ -33974,7 +34948,8 @@ unique-id = {WOS:000519113300013}, usage-count-last-180-days = {3}, usage-count-since-2013 = {43}, - web-of-science-categories = {Environmental Studies} + web-of-science-categories = {Environmental Studies}, + keywords = {inequality::spatial,out::abstract} } @article{WOS:000519306600102, @@ -33997,7 +34972,8 @@ unique-id = {WOS:000519306600102}, usage-count-last-180-days = {2}, usage-count-since-2013 = {10}, - web-of-science-categories = {Medicine, General \& Internal} + web-of-science-categories = {Medicine, General \& Internal}, + keywords = {out::abstract} } @article{WOS:000519652400010, @@ -34020,7 +34996,8 @@ unique-id = {WOS:000519652400010}, usage-count-last-180-days = {3}, usage-count-since-2013 = {27}, - web-of-science-categories = {Development Studies; Economics} + web-of-science-categories = {Development Studies; Economics}, + keywords = {country::Sri\_Lanka,inequality::gender,inequality::income,region::AP,TODO::full-text} } @article{WOS:000519937100001, @@ -34043,7 +35020,8 @@ unique-id = {WOS:000519937100001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {28}, - web-of-science-categories = {Medicine, General \& Internal} + web-of-science-categories = {Medicine, General \& Internal}, + keywords = {inequality::gender,out::title,review::systematic} } @inproceedings{WOS:000521742100037, @@ -34066,6 +35044,7 @@ usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, web-of-science-categories = {Business}, + keywords = {country::Russia,inequality::income,out::abstract,region::AP}, note = {2nd International Scientific conference on New Industrialization - Global, National, Regional Dimension (SICNI), Ural State Univ Econ, Ekaterinburg, RUSSIA, DEC 04-05, 2018} } @@ -34089,7 +35068,8 @@ unique-id = {WOS:000521955600429}, usage-count-last-180-days = {5}, usage-count-since-2013 = {26}, - web-of-science-categories = {Green \& Sustainable Science \& Technology; Environmental Sciences; Environmental Studies} + web-of-science-categories = {Green \& Sustainable Science \& Technology; Environmental Sciences; Environmental Studies}, + keywords = {inequality::income,out::abstract} } @article{WOS:000523143300001, @@ -34114,7 +35094,8 @@ unique-id = {WOS:000523143300001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {13}, - web-of-science-categories = {Economics; Women's Studies} + web-of-science-categories = {Economics; Women's Studies}, + keywords = {country::Australia,inequality::gender,inequality::poverty,region::AP,relevant,TODO::full-text,type::maternity\_benefit,type::rtw} } @article{WOS:000523200900001, @@ -34137,7 +35118,8 @@ unique-id = {WOS:000523200900001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {20}, - web-of-science-categories = {Political Science} + web-of-science-categories = {Political Science}, + keywords = {cite::channels,inequality::gender,method::qualitative,out::abstract,type::ubi} } @article{WOS:000523362600010, @@ -34160,7 +35142,8 @@ unique-id = {WOS:000523362600010}, usage-count-last-180-days = {2}, usage-count-since-2013 = {9}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {country::Spain,inequality::gender,inequality::generational,region::EU,relevant,TODO::full-text,type::pension} } @article{WOS:000523977200001, @@ -34185,7 +35168,8 @@ unique-id = {WOS:000523977200001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {31}, - web-of-science-categories = {Multidisciplinary Sciences; Social Sciences, Interdisciplinary} + web-of-science-categories = {Multidisciplinary Sciences; Social Sciences, Interdisciplinary}, + keywords = {cite::channels,inequality::gender,out::abstract} } @article{WOS:000524209700001, @@ -34210,7 +35194,8 @@ unique-id = {WOS:000524209700001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {23}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {cite::channels,inequality::income,method::quantitative,out::abstract,type::trade\_liberalization} } @article{WOS:000524518500001, @@ -34234,7 +35219,8 @@ unique-id = {WOS:000524518500001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Rheumatology} + web-of-science-categories = {Rheumatology}, + keywords = {out::title} } @article{WOS:000525951500001, @@ -34257,7 +35243,8 @@ unique-id = {WOS:000525951500001}, usage-count-last-180-days = {6}, usage-count-since-2013 = {33}, - web-of-science-categories = {Management} + web-of-science-categories = {Management}, + keywords = {cite::channels,inequality::gender,out::abstract} } @article{WOS:000526214500030, @@ -34281,7 +35268,8 @@ unique-id = {WOS:000526214500030}, usage-count-last-180-days = {0}, usage-count-since-2013 = {4}, - web-of-science-categories = {Public, Environmental \& Occupational Health; Infectious Diseases} + web-of-science-categories = {Public, Environmental \& Occupational Health; Infectious Diseases}, + keywords = {out::title} } @article{WOS:000527127900001, @@ -34306,7 +35294,8 @@ unique-id = {WOS:000527127900001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {17}, - web-of-science-categories = {Industrial Relations \& Labor} + web-of-science-categories = {Industrial Relations \& Labor}, + keywords = {out::title} } @article{WOS:000527161700001, @@ -34331,7 +35320,8 @@ unique-id = {WOS:000527161700001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {3}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::title} } @article{WOS:000527245600006, @@ -34355,7 +35345,8 @@ unique-id = {WOS:000527245600006}, usage-count-last-180-days = {5}, usage-count-since-2013 = {41}, - web-of-science-categories = {Development Studies; Public Administration; Social Issues; Social Work} + web-of-science-categories = {Development Studies; Public Administration; Social Issues; Social Work}, + keywords = {cite::channels,country::Australia,inequality::disability,out::abstract,region::AP} } @inproceedings{WOS:000527792100176, @@ -34403,7 +35394,8 @@ unique-id = {WOS:000528876600001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {22}, - web-of-science-categories = {Education \& Educational Research} + web-of-science-categories = {Education \& Educational Research}, + keywords = {cite::channels,country::Canada,inequality::disability,inequality::education,out::abstract,region::NA} } @article{WOS:000529332000023, @@ -34426,7 +35418,8 @@ unique-id = {WOS:000529332000023}, usage-count-last-180-days = {1}, usage-count-since-2013 = {2}, - web-of-science-categories = {Food Science \& Technology} + web-of-science-categories = {Food Science \& Technology}, + keywords = {cite::channels,inequality::gender,out::abstract} } @article{WOS:000529442900004, @@ -34450,7 +35443,8 @@ unique-id = {WOS:000529442900004}, usage-count-last-180-days = {2}, usage-count-since-2013 = {3}, - web-of-science-categories = {Law} + web-of-science-categories = {Law}, + keywords = {inequality::migration,out::abstract} } @article{WOS:000530055200001, @@ -34475,7 +35469,8 @@ unique-id = {WOS:000530055200001}, usage-count-last-180-days = {4}, usage-count-since-2013 = {19}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::channels,inequality::poverty,out::abstract,region::SSA,type::cash\_transfer} } @article{WOS:000530313300001, @@ -34500,7 +35495,8 @@ unique-id = {WOS:000530313300001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {17}, - web-of-science-categories = {Hospitality, Leisure, Sport \& Tourism} + web-of-science-categories = {Hospitality, Leisure, Sport \& Tourism}, + keywords = {out::abstract} } @article{WOS:000530510100001, @@ -34525,7 +35521,8 @@ unique-id = {WOS:000530510100001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {10}, - web-of-science-categories = {Agronomy; Biotechnology \& Applied Microbiology; Energy \& Fuels} + web-of-science-categories = {Agronomy; Biotechnology \& Applied Microbiology; Energy \& Fuels}, + keywords = {out::abstract} } @article{WOS:000530781400002, @@ -34550,7 +35547,8 @@ unique-id = {WOS:000530781400002}, usage-count-last-180-days = {3}, usage-count-since-2013 = {7}, - web-of-science-categories = {Education \& Educational Research} + web-of-science-categories = {Education \& Educational Research}, + keywords = {inequality::gender,relevant,TODO::abstract} } @article{WOS:000530907200007, @@ -34573,7 +35571,8 @@ unique-id = {WOS:000530907200007}, usage-count-last-180-days = {0}, usage-count-since-2013 = {14}, - web-of-science-categories = {Economics; Transportation; Transportation Science \& Technology} + web-of-science-categories = {Economics; Transportation; Transportation Science \& Technology}, + keywords = {cite::channels,country::US,inequality::disability,inequality::spatial,out::abstract,region::NA} } @article{WOS:000531980600001, @@ -34598,7 +35597,8 @@ unique-id = {WOS:000531980600001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {5}, - web-of-science-categories = {Geriatrics \& Gerontology; Gerontology; Psychiatry} + web-of-science-categories = {Geriatrics \& Gerontology; Gerontology; Psychiatry}, + keywords = {out::title} } @article{WOS:000532104900001, @@ -34623,7 +35623,8 @@ unique-id = {WOS:000532104900001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {11}, - web-of-science-categories = {Gerontology} + web-of-science-categories = {Gerontology}, + keywords = {country::Russia,inequality::age,out::abstract,region::AP} } @article{WOS:000532389000003, @@ -34647,12 +35648,13 @@ unique-id = {WOS:000532389000003}, usage-count-last-180-days = {0}, usage-count-since-2013 = {3}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {cite::channels,inequality::health,inequality::income,out::abstract,region::LAC} } @article{WOS:000532444100045, type = {Article}, - title = {States with {\textexclamdown}i{\textquestiondown}higher{\textexclamdown}/I{\textquestiondown} Minimum Wages Have {\textexclamdown}i{\textquestiondown}lower{\textexclamdown}/I{\textquestiondown} {{STI}} Rates among Women: {{Results}} of an Ecological Study of 66 {{US}} Metropolitan Areas, 2003-2015}, + title = {States with Higher Minimum Wages Have Lower {{STI}} Rates among Women: {{Results}} of an Ecological Study of 66 {{US}} Metropolitan Areas, 2003-2015}, author = {Ibragimov, Umedjon and Beane, Stephanie and Friedman, Samuel R. and Komro, Kelli and Adimora, Adaora A. and Edwards, Jessie K. and Williams, Leslie D. and Tempalski, Barbara and Livingston, Melvin D. and Stall, Ronald D. and Wingood, Gina M. and Cooper, Hannah L. F.}, year = {2019}, month = oct, @@ -34670,12 +35672,13 @@ unique-id = {WOS:000532444100045}, usage-count-last-180-days = {0}, usage-count-since-2013 = {1}, - web-of-science-categories = {Multidisciplinary Sciences} + web-of-science-categories = {Multidisciplinary Sciences}, + keywords = {country::US,inequality::health,out::title,region::NA,type::minimum\_wage} } @article{WOS:000532670600060, type = {Article}, - title = {``{\textexclamdown}i{\textquestiondown}{{The}} Car Is My Extra Legs{\textexclamdown}/I{\textquestiondown}'' - {{Experiences}} of Outdoor Mobility amongst Immigrants in {{Sweden}} with Late Effects of Polio}, + title = {``{{The}} Car Is My Extra Legs'' - {{Experiences}} of Outdoor Mobility amongst Immigrants in {{Sweden}} with Late Effects of Polio}, author = {Selander, Helena and Silva, Iolanda Santos Tavares and Kjellgren, Felicia and Sunnerhagen, Katharina S.}, year = {2019}, month = oct, @@ -34693,7 +35696,8 @@ unique-id = {WOS:000532670600060}, usage-count-last-180-days = {0}, usage-count-since-2013 = {1}, - web-of-science-categories = {Multidisciplinary Sciences} + web-of-science-categories = {Multidisciplinary Sciences}, + keywords = {cite::channels,country::Sweden,inequality::disability,inequality::migration,inequality::spatial,out::abstract,region::EU} } @article{WOS:000532680100028, @@ -34716,12 +35720,13 @@ unique-id = {WOS:000532680100028}, usage-count-last-180-days = {0}, usage-count-since-2013 = {3}, - web-of-science-categories = {Multidisciplinary Sciences} + web-of-science-categories = {Multidisciplinary Sciences}, + keywords = {out::title} } @article{WOS:000533552800003, type = {{Article}}, - title = {{Some variables that influence gender perceptions in the Chilean}}, + title = {{Some variables that influence gender perceptions in the Chilean Judicial Branch}}, author = {Fuentealba Carrasco, Pablo and Sanchez Pezo, Gabriela and Gauche Marchetti, Ximena and Santana Silva, Daniela and Rioseco Vallejos, Valentina and Sanhueza Riffo, Cynthia and Gonzalez Fuente, Rodrigo and Dominguez Montoya, Alvaro and Bustos Ibarra, Cecilia and Perez Diaz, Cecilia and Barria Paredes, Manuel}, year = {2020}, month = jan, @@ -34739,7 +35744,8 @@ unique-id = {WOS:000533552800003}, usage-count-last-180-days = {0}, usage-count-since-2013 = {4}, - web-of-science-categories = {Law} + web-of-science-categories = {Law}, + keywords = {country::Chile,inequality::gender,issue::language,out::abstract,region::LAC} } @article{WOS:000534960600016, @@ -34763,7 +35769,8 @@ unique-id = {WOS:000534960600016}, usage-count-last-180-days = {0}, usage-count-since-2013 = {13}, - web-of-science-categories = {Oncology; Education, Scientific Disciplines; Public, Environmental \& Occupational Health} + web-of-science-categories = {Oncology; Education, Scientific Disciplines; Public, Environmental \& Occupational Health}, + keywords = {out::title} } @article{WOS:000535093600001, @@ -34788,7 +35795,8 @@ unique-id = {WOS:000535093600001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {23}, - web-of-science-categories = {Business, Finance} + web-of-science-categories = {Business, Finance}, + keywords = {country::South\_Africa,out::abstract,region::SSA,type::ubi} } @article{WOS:000535130100010, @@ -34811,7 +35819,8 @@ unique-id = {WOS:000535130100010}, usage-count-last-180-days = {5}, usage-count-since-2013 = {32}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {country::Germany,inequality::income,region::EU,TODO::full-text,type::minimum\_wage} } @article{WOS:000535615600001, @@ -34834,7 +35843,8 @@ unique-id = {WOS:000535615600001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {1}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::title} } @article{WOS:000535697500014, @@ -34857,7 +35867,8 @@ unique-id = {WOS:000535697500014}, usage-count-last-180-days = {1}, usage-count-since-2013 = {10}, - web-of-science-categories = {Geography; Regional \& Urban Planning} + web-of-science-categories = {Geography; Regional \& Urban Planning}, + keywords = {cite::channels,inequality::age,inequality::spatial,out::abstract,region::SSA} } @inproceedings{WOS:000536018101149, @@ -34880,6 +35891,7 @@ usage-count-last-180-days = {0}, usage-count-since-2013 = {1}, web-of-science-categories = {Education \& Educational Research; Psychology, Educational}, + keywords = {out::title}, note = {13th International Technology, Education and Development Conference (INTED), Valencia, SPAIN, MAR 11-13, 2019} } @@ -34906,6 +35918,7 @@ usage-count-last-180-days = {0}, usage-count-since-2013 = {10}, web-of-science-categories = {Health Care Sciences \& Services; Medicine, General \& Internal}, + keywords = {cite::channels,country::US,inequality::health,inequality::poverty,method::qualitative,out::abstract,region::NA}, note = {Academy-Health Annual Research Meeting, Washington, DC, JUN 02-04, 2019} } @@ -34930,7 +35943,8 @@ unique-id = {WOS:000536507600007}, usage-count-last-180-days = {2}, usage-count-since-2013 = {27}, - web-of-science-categories = {Economics; Political Science; Sociology} + web-of-science-categories = {Economics; Political Science; Sociology}, + keywords = {relevant,TODO::abstract} } @article{WOS:000536597900012, @@ -34979,7 +35993,8 @@ unique-id = {WOS:000537155300001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {7}, - web-of-science-categories = {Industrial Relations \& Labor} + web-of-science-categories = {Industrial Relations \& Labor}, + keywords = {TODO::abstract,type::collective\_action} } @article{WOS:000537156700001, @@ -35004,12 +36019,13 @@ unique-id = {WOS:000537156700001}, usage-count-last-180-days = {13}, usage-count-since-2013 = {65}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {cite::channels,inequality::gender,inequality::generational,out::abstract} } @article{WOS:000537294000002, type = {Article}, - title = {The Right to Work, Power Resources, and Economic {{Inequality}}{\textexclamdown}{{SUP}}{\textquestiondown}1{\textexclamdown}/{{SUP}}{\textquestiondown}}, + title = {The Right to Work, Power Resources, and Economic {{Inequality}}}, author = {VanHeuvelen, Tom}, year = {2020}, month = mar, @@ -35028,7 +36044,8 @@ unique-id = {WOS:000537294000002}, usage-count-last-180-days = {1}, usage-count-since-2013 = {16}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {cite::channels,country::US,inequality::income,out::abstract,region::NA,type::collective\_action} } @article{WOS:000537860400006, @@ -35051,7 +36068,8 @@ unique-id = {WOS:000537860400006}, usage-count-last-180-days = {0}, usage-count-since-2013 = {8}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::title} } @article{WOS:000538600100006, @@ -35075,7 +36093,8 @@ unique-id = {WOS:000538600100006}, usage-count-last-180-days = {0}, usage-count-since-2013 = {7}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::channels,country::India,inequality::gender,inequality::income,out::abstract,region::AP} } @article{WOS:000539552200001, @@ -35100,7 +36119,8 @@ unique-id = {WOS:000539552200001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {8}, - web-of-science-categories = {Industrial Relations \& Labor; Management} + web-of-science-categories = {Industrial Relations \& Labor; Management}, + keywords = {cite::channels,country::Britain,inequality::gender,inequality::migration,method::qualitative,out::abstract,region::EU} } @article{WOS:000540610600004, @@ -35123,7 +36143,8 @@ unique-id = {WOS:000540610600004}, usage-count-last-180-days = {1}, usage-count-since-2013 = {6}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {cite::channels,inequality::racial,method::qualitative,out::abstract} } @article{WOS:000540681200001, @@ -35148,7 +36169,8 @@ unique-id = {WOS:000540681200001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {3}, - web-of-science-categories = {Industrial Relations \& Labor} + web-of-science-categories = {Industrial Relations \& Labor}, + keywords = {out::title} } @article{WOS:000540756700007, @@ -35172,12 +36194,13 @@ unique-id = {WOS:000540756700007}, usage-count-last-180-days = {1}, usage-count-since-2013 = {14}, - web-of-science-categories = {Business} + web-of-science-categories = {Business}, + keywords = {cite::channels,inequality::gender,out::abstract,type::maternity\_benefit} } @inproceedings{WOS:000541042201047, type = {Proceedings Paper}, - title = {{{CHILDHOOD}}, {{SCIENCE}}, {{AND TECHNOLOGY}}: {{A GENDER ANALYSIS FROM THE FAMILY}}, {{EDUCATIONAL AND CULTURAL ENVIRONMENT POINT OF VIEW}}}, + title = {Childhood, Science, and Technology: A Gender Analysis from the Family, Educational and Cultural Environment Point of View}, booktitle = {13th International Technology, Education and Development Conference (Inted2019)}, author = {Reiman, M.}, editor = {Chova, {\relax LG} and Martinez, {\relax AL} and Torres, {\relax IC}}, @@ -35195,6 +36218,7 @@ usage-count-last-180-days = {8}, usage-count-since-2013 = {14}, web-of-science-categories = {Education \& Educational Research; Psychology, Educational}, + keywords = {inequality::education,inequality::gender,region::LAC,TODO::full-text}, note = {13th International Technology, Education and Development Conference (INTED), Valencia, SPAIN, MAR 11-13, 2019} } @@ -35218,6 +36242,7 @@ usage-count-last-180-days = {3}, usage-count-since-2013 = {8}, web-of-science-categories = {Education \& Educational Research; Psychology, Educational}, + keywords = {cite::further\_reading,inequality::disability,method::qualitative,out::abstract}, note = {13th International Technology, Education and Development Conference (INTED), Valencia, SPAIN, MAR 11-13, 2019} } @@ -35241,7 +36266,8 @@ unique-id = {WOS:000541371200011}, usage-count-last-180-days = {1}, usage-count-since-2013 = {5}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::title} } @article{WOS:000542329200001, @@ -35266,7 +36292,8 @@ unique-id = {WOS:000542329200001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {3}, - web-of-science-categories = {Health Care Sciences \& Services} + web-of-science-categories = {Health Care Sciences \& Services}, + keywords = {out::title,review::integrative} } @article{WOS:000542634700002, @@ -35289,7 +36316,8 @@ unique-id = {WOS:000542634700002}, usage-count-last-180-days = {0}, usage-count-since-2013 = {7}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::title} } @article{WOS:000543421400237, @@ -35312,7 +36340,8 @@ unique-id = {WOS:000543421400237}, usage-count-last-180-days = {3}, usage-count-since-2013 = {19}, - web-of-science-categories = {Green \& Sustainable Science \& Technology; Environmental Sciences; Environmental Studies} + web-of-science-categories = {Green \& Sustainable Science \& Technology; Environmental Sciences; Environmental Studies}, + keywords = {cite::channels,country::Vietnam,inequality::education,inequality::migration,method::qualitative,out::abstract,region::AP} } @article{WOS:000543556000001, @@ -35337,7 +36366,8 @@ unique-id = {WOS:000543556000001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {20}, - web-of-science-categories = {Rehabilitation; Social Sciences, Interdisciplinary} + web-of-science-categories = {Rehabilitation; Social Sciences, Interdisciplinary}, + keywords = {cite::channels,country::Switzerland,method::qualitative,out::abstract,region::EU} } @article{WOS:000544261100001, @@ -35362,7 +36392,11 @@ unique-id = {WOS:000544261100001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {14}, - web-of-science-categories = {Public Administration; Social Issues} + web-of-science-categories = {Public Administration; Social Issues}, + keywords = {country::Belgium,country::Norway,inequality::gender,inequality::generational,region::EU,relevant,TODO::full-text}, + note = {looks at inequality; LM adjacency; +\par +specific PI is cash benefit - though see if its impacts are measured} } @article{WOS:000544423900028, @@ -35385,7 +36419,8 @@ unique-id = {WOS:000544423900028}, usage-count-last-180-days = {1}, usage-count-since-2013 = {13}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::further\_reading,inequality::income,out::abstract,type::marketization} } @article{WOS:000545530600001, @@ -35410,7 +36445,8 @@ unique-id = {WOS:000545530600001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {9}, - web-of-science-categories = {Health Policy \& Services} + web-of-science-categories = {Health Policy \& Services}, + keywords = {inequality::age,inequality::gender,out::title,review::scoping,TODO::review} } @article{WOS:000546056600001, @@ -35435,7 +36471,8 @@ unique-id = {WOS:000546056600001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {6}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {cite::channels,inequality::gender,out::abstract,type::maternity\_benefit} } @article{WOS:000546520900001, @@ -35458,12 +36495,13 @@ unique-id = {WOS:000546520900001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {13}, - web-of-science-categories = {Education \& Educational Research} + web-of-science-categories = {Education \& Educational Research}, + keywords = {out::title} } @article{WOS:000546600100001, type = {Article}, - title = {The State as Regulator? {{The}} `dual-Track' System of Employment in the {{Chinese}} Public Sector and Barriers to Equal Pay for Equal Work}, + title = {The State as Regulator? {{The}} 'dual-Track' System of Employment in the {{Chinese}} Public Sector and Barriers to Equal Pay for Equal Work}, author = {Feng, Xiliang and Cooke, Fang Lee and Zhao, Chenhui}, year = {2020}, month = sep, @@ -35483,7 +36521,8 @@ unique-id = {WOS:000546600100001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {13}, - web-of-science-categories = {Industrial Relations \& Labor} + web-of-science-categories = {Industrial Relations \& Labor}, + keywords = {cite::channels,country::China,inequality::gender,out::abstract,region::AP,type::institutional} } @article{WOS:000546999700009, @@ -35506,7 +36545,8 @@ unique-id = {WOS:000546999700009}, usage-count-last-180-days = {0}, usage-count-since-2013 = {6}, - web-of-science-categories = {Rehabilitation} + web-of-science-categories = {Rehabilitation}, + keywords = {out::abstract} } @article{WOS:000547771200001, @@ -35531,7 +36571,8 @@ unique-id = {WOS:000547771200001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {21}, - web-of-science-categories = {Geography} + web-of-science-categories = {Geography}, + keywords = {out::title} } @article{WOS:000548567700001, @@ -35556,7 +36597,8 @@ unique-id = {WOS:000548567700001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {6}, - web-of-science-categories = {Industrial Relations \& Labor} + web-of-science-categories = {Industrial Relations \& Labor}, + keywords = {country::New\_Zealand,inequality::gender,inequality::income,method::qualitative,region::AP,relevant,TODO::full-text} } @article{WOS:000548781200001, @@ -35581,7 +36623,8 @@ unique-id = {WOS:000548781200001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {3}, - web-of-science-categories = {Environmental Studies; Geography; Regional \& Urban Planning} + web-of-science-categories = {Environmental Studies; Geography; Regional \& Urban Planning}, + keywords = {country::Britain,inequality::spatial,region::EU,relevant,TODO::full-text,type::work\_programme} } @article{WOS:000548894200001, @@ -35606,7 +36649,8 @@ unique-id = {WOS:000548894200001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {51}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {cite::channels,country::Britain,country::Germany,country::US,inequality::gender,inequality::generational,out::abstract,region::EU,region::NA} } @article{WOS:000549102500008, @@ -35629,7 +36673,8 @@ unique-id = {WOS:000549102500008}, usage-count-last-180-days = {2}, usage-count-since-2013 = {4}, - web-of-science-categories = {International Relations} + web-of-science-categories = {International Relations}, + keywords = {country::India,inequality::poverty,out::abstract,region::AP} } @article{WOS:000549102500009, @@ -35652,7 +36697,8 @@ unique-id = {WOS:000549102500009}, usage-count-last-180-days = {3}, usage-count-since-2013 = {23}, - web-of-science-categories = {International Relations} + web-of-science-categories = {International Relations}, + keywords = {country::Japan,inequality::gender,method::qualitative,out::abstract,region::AP} } @article{WOS:000549188300042, @@ -35675,7 +36721,8 @@ unique-id = {WOS:000549188300042}, usage-count-last-180-days = {0}, usage-count-since-2013 = {4}, - web-of-science-categories = {Public, Environmental \& Occupational Health; Social Sciences, Biomedical} + web-of-science-categories = {Public, Environmental \& Occupational Health; Social Sciences, Biomedical}, + keywords = {out::title} } @article{WOS:000549818200001, @@ -35698,7 +36745,8 @@ unique-id = {WOS:000549818200001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {7}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {country::Tanzania,inequality::gender,inequality::health,region::SSA,relevant,TODO::full-text} } @article{WOS:000549898000126, @@ -35721,7 +36769,8 @@ unique-id = {WOS:000549898000126}, usage-count-last-180-days = {1}, usage-count-since-2013 = {5}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::title} } @article{WOS:000549902100012, @@ -35745,7 +36794,8 @@ unique-id = {WOS:000549902100012}, usage-count-last-180-days = {0}, usage-count-since-2013 = {5}, - web-of-science-categories = {Nursing} + web-of-science-categories = {Nursing}, + keywords = {out::title} } @article{WOS:000551017100001, @@ -35770,7 +36820,8 @@ unique-id = {WOS:000551017100001}, usage-count-last-180-days = {5}, usage-count-since-2013 = {51}, - web-of-science-categories = {Social Issues; Psychology, Social} + web-of-science-categories = {Social Issues; Psychology, Social}, + keywords = {out::title} } @article{WOS:000551352700013, @@ -35794,7 +36845,8 @@ unique-id = {WOS:000551352700013}, usage-count-last-180-days = {1}, usage-count-since-2013 = {19}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::channels,country::Korea,inequality::income,out::abstract,region::AP} } @inproceedings{WOS:000553304901142, @@ -35817,6 +36869,7 @@ usage-count-last-180-days = {0}, usage-count-since-2013 = {1}, web-of-science-categories = {Education \& Educational Research}, + keywords = {out::title}, note = {11th International Conference on Education and New Learning Technologies (EDULEARN), Palma, SPAIN, JUL 01-03, 2019} } @@ -35840,7 +36893,8 @@ unique-id = {WOS:000556581200001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {3}, - web-of-science-categories = {Veterinary Sciences} + web-of-science-categories = {Veterinary Sciences}, + keywords = {out::title} } @article{WOS:000558029400001, @@ -35865,7 +36919,8 @@ unique-id = {WOS:000558029400001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {9}, - web-of-science-categories = {Family Studies; Social Work} + web-of-science-categories = {Family Studies; Social Work}, + keywords = {out::title,review::meta} } @incollection{WOS:000558611200003, @@ -35887,7 +36942,8 @@ unique-id = {WOS:000558611200003}, usage-count-last-180-days = {0}, usage-count-since-2013 = {1}, - web-of-science-categories = {Criminology \& Penology} + web-of-science-categories = {Criminology \& Penology}, + keywords = {out::title} } @article{WOS:000559119400001, @@ -35910,7 +36966,8 @@ unique-id = {WOS:000559119400001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {9}, - web-of-science-categories = {Green \& Sustainable Science \& Technology; Environmental Sciences; Environmental Studies} + web-of-science-categories = {Green \& Sustainable Science \& Technology; Environmental Sciences; Environmental Studies}, + keywords = {relevant,TODO::abstract} } @article{WOS:000559266700001, @@ -35935,7 +36992,8 @@ unique-id = {WOS:000559266700001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {2}, - web-of-science-categories = {Genetics \& Heredity} + web-of-science-categories = {Genetics \& Heredity}, + keywords = {out::title} } @inproceedings{WOS:000560060900078, @@ -35958,6 +37016,7 @@ usage-count-last-180-days = {0}, usage-count-since-2013 = {7}, web-of-science-categories = {Social Issues; Women's Studies}, + keywords = {cite::channels,country::Iran,country::Malaysia,method::qualitative,out::abstract}, note = {International Conference on Gender Research (ICGR), ISCAP, P Porto, Porto, PORTUGAL, APR 12-13, 2018} } @@ -35981,7 +37040,8 @@ unique-id = {WOS:000561343700005}, usage-count-last-180-days = {0}, usage-count-since-2013 = {22}, - web-of-science-categories = {Geography} + web-of-science-categories = {Geography}, + keywords = {out::abstract} } @article{WOS:000561433300012, @@ -36003,7 +37063,8 @@ unique-id = {WOS:000561433300012}, usage-count-last-180-days = {0}, usage-count-since-2013 = {1}, - web-of-science-categories = {Medicine, General \& Internal} + web-of-science-categories = {Medicine, General \& Internal}, + keywords = {out::title,review::scoping} } @article{WOS:000562009500001, @@ -36026,7 +37087,8 @@ unique-id = {WOS:000562009500001}, usage-count-last-180-days = {6}, usage-count-since-2013 = {30}, - web-of-science-categories = {Economics; International Relations; Law} + web-of-science-categories = {Economics; International Relations; Law}, + keywords = {inequality::gender,method::qualitative,out::abstract,type::trade\_liberalization} } @article{WOS:000562542400001, @@ -36051,7 +37113,8 @@ unique-id = {WOS:000562542400001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {9}, - web-of-science-categories = {Urban Studies} + web-of-science-categories = {Urban Studies}, + keywords = {out::title} } @article{WOS:000563428800001, @@ -36076,7 +37139,8 @@ unique-id = {WOS:000563428800001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Health Policy \& Services; Public, Environmental \& Occupational Health; Psychology, Multidisciplinary; Respiratory System; Social Sciences, Biomedical} + web-of-science-categories = {Health Policy \& Services; Public, Environmental \& Occupational Health; Psychology, Multidisciplinary; Respiratory System; Social Sciences, Biomedical}, + keywords = {out::title} } @article{WOS:000564212100001, @@ -36099,7 +37163,8 @@ unique-id = {WOS:000564212100001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {7}, - web-of-science-categories = {Social Work} + web-of-science-categories = {Social Work}, + keywords = {out::title} } @article{WOS:000565504400001, @@ -36124,7 +37189,8 @@ unique-id = {WOS:000565504400001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {8}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {cite::channels,inequality::health,inequality::racial,inequality::spatial,out::abstract} } @article{WOS:000565842100023, @@ -36148,7 +37214,8 @@ unique-id = {WOS:000565842100023}, usage-count-last-180-days = {3}, usage-count-since-2013 = {24}, - web-of-science-categories = {Public Administration} + web-of-science-categories = {Public Administration}, + keywords = {out::title} } @article{WOS:000567189100012, @@ -36171,7 +37238,8 @@ unique-id = {WOS:000567189100012}, usage-count-last-180-days = {2}, usage-count-since-2013 = {16}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::channels,inequality::gender,inequality::income,out::abstract,region::SSA} } @article{WOS:000568999600009, @@ -36195,7 +37263,8 @@ unique-id = {WOS:000568999600009}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {country::Brazil,inequality::income,region::LAC,relevant,TODO::full-text} } @article{WOS:000569313300010, @@ -36218,7 +37287,8 @@ unique-id = {WOS:000569313300010}, usage-count-last-180-days = {0}, usage-count-since-2013 = {3}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {inequality::gender,inequality::income,method::quantitative,TODO::full-text} } @article{WOS:000570884600001, @@ -36243,7 +37313,8 @@ unique-id = {WOS:000570884600001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {23}, - web-of-science-categories = {Psychology, Clinical; Criminology \& Penology; Family Studies; Psychiatry} + web-of-science-categories = {Psychology, Clinical; Criminology \& Penology; Family Studies; Psychiatry}, + keywords = {out::title} } @article{WOS:000571126200012, @@ -36267,7 +37338,8 @@ unique-id = {WOS:000571126200012}, usage-count-last-180-days = {1}, usage-count-since-2013 = {9}, - web-of-science-categories = {Clinical Neurology; Neurosciences} + web-of-science-categories = {Clinical Neurology; Neurosciences}, + keywords = {out::title} } @article{WOS:000571536400002, @@ -36290,7 +37362,8 @@ unique-id = {WOS:000571536400002}, usage-count-last-180-days = {2}, usage-count-since-2013 = {13}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {inequality::gender,method::qualitative,out::abstract} } @article{WOS:000571536400007, @@ -36313,7 +37386,8 @@ unique-id = {WOS:000571536400007}, usage-count-last-180-days = {1}, usage-count-since-2013 = {15}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {cite::channels,country::China,inequality::income,out::abstract,region::AP} } @article{WOS:000571879900008, @@ -36337,7 +37411,8 @@ unique-id = {WOS:000571879900008}, usage-count-last-180-days = {6}, usage-count-since-2013 = {47}, - web-of-science-categories = {Social Sciences, Interdisciplinary; Sociology} + web-of-science-categories = {Social Sciences, Interdisciplinary; Sociology}, + keywords = {cite::channels,country::Britain,inequality::gender,method::qualitative,out::abstract,region::EU} } @article{WOS:000573850700008, @@ -36361,7 +37436,8 @@ unique-id = {WOS:000573850700008}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services} + web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services}, + keywords = {cite::channels,inequality::gender,out::abstract} } @article{WOS:000574041300001, @@ -36386,7 +37462,8 @@ unique-id = {WOS:000574041300001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {18}, - web-of-science-categories = {Management; Nursing} + web-of-science-categories = {Management; Nursing}, + keywords = {inequality::age,inequality::lgbt,out::title,review::systematic} } @article{WOS:000574478600007, @@ -36410,7 +37487,8 @@ unique-id = {WOS:000574478600007}, usage-count-last-180-days = {5}, usage-count-since-2013 = {72}, - web-of-science-categories = {Business; Ethics} + web-of-science-categories = {Business; Ethics}, + keywords = {cite::framework,inequality::disability,out::abstract} } @incollection{WOS:000575015200009, @@ -36433,7 +37511,8 @@ unique-id = {WOS:000575015200009}, usage-count-last-180-days = {2}, usage-count-since-2013 = {4}, - web-of-science-categories = {Ethnic Studies; Psychology, Applied; Management; Social Issues} + web-of-science-categories = {Ethnic Studies; Psychology, Applied; Management; Social Issues}, + keywords = {inequality::racial,out::abstract} } @article{WOS:000575142300001, @@ -36458,7 +37537,8 @@ unique-id = {WOS:000575142300001}, usage-count-last-180-days = {10}, usage-count-since-2013 = {82}, - web-of-science-categories = {Information Science \& Library Science; Management} + web-of-science-categories = {Information Science \& Library Science; Management}, + keywords = {out::abstract} } @article{WOS:000575594000001, @@ -36483,7 +37563,8 @@ unique-id = {WOS:000575594000001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Education, Special; Rehabilitation} + web-of-science-categories = {Education, Special; Rehabilitation}, + keywords = {out::abstract} } @article{WOS:000575951700006, @@ -36507,7 +37588,8 @@ unique-id = {WOS:000575951700006}, usage-count-last-180-days = {1}, usage-count-since-2013 = {2}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {out::title} } @article{WOS:000576475700004, @@ -36531,7 +37613,8 @@ unique-id = {WOS:000576475700004}, usage-count-last-180-days = {1}, usage-count-since-2013 = {2}, - web-of-science-categories = {Social Issues; Social Sciences, Interdisciplinary} + web-of-science-categories = {Social Issues; Social Sciences, Interdisciplinary}, + keywords = {country::Britain,region::EU,relevant,TODO::full-text,type::work\_programme} } @article{WOS:000576971300001, @@ -36554,7 +37637,8 @@ unique-id = {WOS:000576971300001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {7}, - web-of-science-categories = {Primary Health Care} + web-of-science-categories = {Primary Health Care}, + keywords = {country::Bangladesh,inequality::health,inequality::migration,out::title,region::AP} } @article{WOS:000577116700003, @@ -36578,7 +37662,8 @@ unique-id = {WOS:000577116700003}, usage-count-last-180-days = {1}, usage-count-since-2013 = {8}, - web-of-science-categories = {Oncology} + web-of-science-categories = {Oncology}, + keywords = {out::title} } @article{WOS:000577275400002, @@ -36603,7 +37688,8 @@ unique-id = {WOS:000577275400002}, usage-count-last-180-days = {2}, usage-count-since-2013 = {19}, - web-of-science-categories = {Agriculture, Multidisciplinary; History \& Philosophy Of Science; Sociology} + web-of-science-categories = {Agriculture, Multidisciplinary; History \& Philosophy Of Science; Sociology}, + keywords = {inequality::gender,TODO::full-text,type::collective\_action} } @article{WOS:000577283400001, @@ -36628,7 +37714,8 @@ unique-id = {WOS:000577283400001}, usage-count-last-180-days = {6}, usage-count-since-2013 = {38}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {inequality::gender,region::EU,TODO::full-text} } @article{WOS:000578333300001, @@ -36653,7 +37740,8 @@ unique-id = {WOS:000578333300001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {24}, - web-of-science-categories = {Management; Women's Studies} + web-of-science-categories = {Management; Women's Studies}, + keywords = {out::abstract} } @article{WOS:000578850100001, @@ -36678,7 +37766,8 @@ unique-id = {WOS:000578850100001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {8}, - web-of-science-categories = {Criminology \& Penology; Family Studies; Psychology, Applied} + web-of-science-categories = {Criminology \& Penology; Family Studies; Psychology, Applied}, + keywords = {cite::channels,inequality::gender,out::title} } @article{WOS:000579441400007, @@ -36702,7 +37791,8 @@ unique-id = {WOS:000579441400007}, usage-count-last-180-days = {1}, usage-count-since-2013 = {9}, - web-of-science-categories = {Gerontology; Health Policy \& Services} + web-of-science-categories = {Gerontology; Health Policy \& Services}, + keywords = {out::title} } @article{WOS:000580051200051, @@ -36725,7 +37815,8 @@ unique-id = {WOS:000580051200051}, usage-count-last-180-days = {1}, usage-count-since-2013 = {6}, - web-of-science-categories = {Family Studies; Social Work} + web-of-science-categories = {Family Studies; Social Work}, + keywords = {cite::channels,country::US,inequality::disability,inequality::education,out::abstract,region::NA} } @article{WOS:000580902900009, @@ -36748,7 +37839,8 @@ unique-id = {WOS:000580902900009}, usage-count-last-180-days = {3}, usage-count-since-2013 = {20}, - web-of-science-categories = {Social Issues; Social Sciences, Interdisciplinary} + web-of-science-categories = {Social Issues; Social Sciences, Interdisciplinary}, + keywords = {inequality::gender,inequality::migration,TODO::full-text} } @article{WOS:000581108900016, @@ -36771,7 +37863,8 @@ unique-id = {WOS:000581108900016}, usage-count-last-180-days = {0}, usage-count-since-2013 = {21}, - web-of-science-categories = {Architecture; Urban Studies} + web-of-science-categories = {Architecture; Urban Studies}, + keywords = {out::title} } @article{WOS:000582114900002, @@ -36794,7 +37887,8 @@ unique-id = {WOS:000582114900002}, usage-count-last-180-days = {0}, usage-count-since-2013 = {1}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {inequality::age,inequality::gender,out::title} } @article{WOS:000583059500060, @@ -36818,7 +37912,8 @@ unique-id = {WOS:000583059500060}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Clinical Neurology; Peripheral Vascular Disease} + web-of-science-categories = {Clinical Neurology; Peripheral Vascular Disease}, + keywords = {out::title} } @article{WOS:000583996600002, @@ -36843,7 +37938,8 @@ unique-id = {WOS:000583996600002}, usage-count-last-180-days = {1}, usage-count-since-2013 = {10}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::abstract} } @article{WOS:000584318300001, @@ -36866,7 +37962,8 @@ unique-id = {WOS:000584318300001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {15}, - web-of-science-categories = {Green \& Sustainable Science \& Technology; Environmental Sciences; Environmental Studies} + web-of-science-categories = {Green \& Sustainable Science \& Technology; Environmental Sciences; Environmental Studies}, + keywords = {inequality::disability,TODO::full-text} } @article{WOS:000587347100001, @@ -36891,7 +37988,8 @@ unique-id = {WOS:000587347100001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {12}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {cite::further\_reading,out::abstract} } @article{WOS:000590940300001, @@ -36918,7 +38016,8 @@ unique-id = {WOS:000590940300001}, usage-count-last-180-days = {25}, usage-count-since-2013 = {110}, - web-of-science-categories = {Public, Environmental \& Occupational Health; Medicine, General \& Internal; Obstetrics \& Gynecology; Women's Studies} + web-of-science-categories = {Public, Environmental \& Occupational Health; Medicine, General \& Internal; Obstetrics \& Gynecology; Women's Studies}, + keywords = {out::title} } @article{WOS:000591272300001, @@ -36943,7 +38042,8 @@ unique-id = {WOS:000591272300001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {8}, - web-of-science-categories = {Geography} + web-of-science-categories = {Geography}, + keywords = {country::Argentina,inequality::education,inequality::spatial,region::LAC,TODO::full-text} } @article{WOS:000592283100025, @@ -36967,7 +38067,8 @@ unique-id = {WOS:000592283100025}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Education, Scientific Disciplines; Health Care Sciences \& Services} + web-of-science-categories = {Education, Scientific Disciplines; Health Care Sciences \& Services}, + keywords = {out::title} } @article{WOS:000592315200001, @@ -36991,7 +38092,8 @@ unique-id = {WOS:000592315200001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {9}, - web-of-science-categories = {Industrial Relations \& Labor} + web-of-science-categories = {Industrial Relations \& Labor}, + keywords = {country::Britain,inequality::disability,out::abstract,region::EU} } @article{WOS:000592315700001, @@ -37016,7 +38118,8 @@ unique-id = {WOS:000592315700001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {13}, - web-of-science-categories = {Industrial Relations \& Labor; Management} + web-of-science-categories = {Industrial Relations \& Labor; Management}, + keywords = {cite::channels,country::Indonesia,inequality::disability,inequality::income,out::abstract,region::AP} } @article{WOS:000593030300009, @@ -37040,7 +38143,8 @@ unique-id = {WOS:000593030300009}, usage-count-last-180-days = {1}, usage-count-since-2013 = {4}, - web-of-science-categories = {Health Policy \& Services; Public, Environmental \& Occupational Health} + web-of-science-categories = {Health Policy \& Services; Public, Environmental \& Occupational Health}, + keywords = {country::Australia,inequality::gender,inequality::generational,method::qualitative,out::abstract,region::AP} } @article{WOS:000593054900001, @@ -37065,7 +38169,8 @@ unique-id = {WOS:000593054900001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {6}, - web-of-science-categories = {Psychology, Educational; Rehabilitation} + web-of-science-categories = {Psychology, Educational; Rehabilitation}, + keywords = {inequality::disability,out::title,review::scoping} } @article{WOS:000593204500029, @@ -37089,7 +38194,8 @@ unique-id = {WOS:000593204500029}, usage-count-last-180-days = {1}, usage-count-since-2013 = {5}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {inequality::migration,relevant,TODO::full-text} } @article{WOS:000593335800002, @@ -37112,7 +38218,8 @@ unique-id = {WOS:000593335800002}, usage-count-last-180-days = {1}, usage-count-since-2013 = {20}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::channels,inequality::gender,out::abstract} } @article{WOS:000593772000004, @@ -37136,7 +38243,8 @@ unique-id = {WOS:000593772000004}, usage-count-last-180-days = {0}, usage-count-since-2013 = {6}, - web-of-science-categories = {Computer Science, Theory \& Methods} + web-of-science-categories = {Computer Science, Theory \& Methods}, + keywords = {out::title} } @article{WOS:000593987800005, @@ -37160,7 +38268,8 @@ unique-id = {WOS:000593987800005}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Political Science} + web-of-science-categories = {Political Science}, + keywords = {cite::channels,country::Mexico,inequality::disability,inequality::education,out::abstract,region::LAC} } @article{WOS:000594372600006, @@ -37183,7 +38292,8 @@ unique-id = {WOS:000594372600006}, usage-count-last-180-days = {4}, usage-count-since-2013 = {44}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {country::China,inequality::income,inequality::spatial,region::AP,relevant,TODO::full-text,type::subsidy} } @article{WOS:000594634100010, @@ -37207,7 +38317,8 @@ unique-id = {WOS:000594634100010}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Public, Environmental \& Occupational Health; Pharmacology \& Pharmacy} + web-of-science-categories = {Public, Environmental \& Occupational Health; Pharmacology \& Pharmacy}, + keywords = {out::title} } @article{WOS:000595019000001, @@ -37232,7 +38343,8 @@ unique-id = {WOS:000595019000001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {4}, - web-of-science-categories = {Business, Finance} + web-of-science-categories = {Business, Finance}, + keywords = {country::Thailand,inequality::income,region::AP,TODO::full-text,type::cooperative\_entrepreneurship} } @article{WOS:000595546800016, @@ -37254,7 +38366,8 @@ unique-id = {WOS:000595546800016}, usage-count-last-180-days = {0}, usage-count-since-2013 = {8}, - web-of-science-categories = {Religion} + web-of-science-categories = {Religion}, + keywords = {out::title} } @article{WOS:000595669900001, @@ -37279,7 +38392,8 @@ unique-id = {WOS:000595669900001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {6}, - web-of-science-categories = {Public, Environmental \& Occupational Health; Social Work} + web-of-science-categories = {Public, Environmental \& Occupational Health; Social Work}, + keywords = {cite::channels,country::Chile,inequality::gender,out::abstract,region::LAC} } @article{WOS:000596272200005, @@ -37303,7 +38417,8 @@ unique-id = {WOS:000596272200005}, usage-count-last-180-days = {1}, usage-count-since-2013 = {1}, - web-of-science-categories = {Anesthesiology; Critical Care Medicine} + web-of-science-categories = {Anesthesiology; Critical Care Medicine}, + keywords = {out::title} } @article{WOS:000596516400001, @@ -37326,7 +38441,8 @@ unique-id = {WOS:000596516400001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {1}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {country::Thailand,inequality::health,inequality::migration,out::abstract,region::AP} } @article{WOS:000597770100001, @@ -37351,7 +38467,8 @@ unique-id = {WOS:000597770100001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {24}, - web-of-science-categories = {Economics; Family Studies} + web-of-science-categories = {Economics; Family Studies}, + keywords = {cite::channels,country::France,country::Italy,inequality::gender,out::abstract,region::EU} } @inproceedings{WOS:000598368600001, @@ -37398,7 +38515,8 @@ unique-id = {WOS:000598879300012}, usage-count-last-180-days = {4}, usage-count-since-2013 = {10}, - web-of-science-categories = {Food Science \& Technology} + web-of-science-categories = {Food Science \& Technology}, + keywords = {inequality::gender,out::abstract,region::AP} } @article{WOS:000598928600004, @@ -37421,7 +38539,8 @@ unique-id = {WOS:000598928600004}, usage-count-last-180-days = {18}, usage-count-since-2013 = {108}, - web-of-science-categories = {Environmental Studies} + web-of-science-categories = {Environmental Studies}, + keywords = {country::China,inequality::spatial,out::abstract,region::AP} } @article{WOS:000598996400001, @@ -37446,7 +38565,8 @@ unique-id = {WOS:000598996400001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {12}, - web-of-science-categories = {Economics; Family Studies} + web-of-science-categories = {Economics; Family Studies}, + keywords = {country::Ghana,inequality::disability,inequality::income,out::abstract,region::SSA} } @article{WOS:000599211900004, @@ -37469,7 +38589,8 @@ unique-id = {WOS:000599211900004}, usage-count-last-180-days = {0}, usage-count-since-2013 = {3}, - web-of-science-categories = {Industrial Relations \& Labor} + web-of-science-categories = {Industrial Relations \& Labor}, + keywords = {out::title} } @article{WOS:000599710000013, @@ -37493,7 +38614,8 @@ unique-id = {WOS:000599710000013}, usage-count-last-180-days = {0}, usage-count-since-2013 = {3}, - web-of-science-categories = {Infectious Diseases} + web-of-science-categories = {Infectious Diseases}, + keywords = {inequality::health,out::abstract} } @article{WOS:000600192300001, @@ -37518,7 +38640,8 @@ unique-id = {WOS:000600192300001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {1}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {country::Britain,country::Germany,inequality::income,region::EU,TODO::full-text,type::cash\_transfer} } @article{WOS:000600320900008, @@ -37541,7 +38664,8 @@ unique-id = {WOS:000600320900008}, usage-count-last-180-days = {3}, usage-count-since-2013 = {16}, - web-of-science-categories = {Environmental Studies; International Relations} + web-of-science-categories = {Environmental Studies; International Relations}, + keywords = {cite::channels,inequality::gender,out::abstract,region::AP} } @article{WOS:000600777900004, @@ -37565,7 +38689,8 @@ unique-id = {WOS:000600777900004}, usage-count-last-180-days = {1}, usage-count-since-2013 = {6}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {country::New\_Zealand,inequality::income,region::AP,relevant,TODO::full-text,type::minimum\_wage} } @article{WOS:000601162800036, @@ -37588,7 +38713,8 @@ unique-id = {WOS:000601162800036}, usage-count-last-180-days = {3}, usage-count-since-2013 = {49}, - web-of-science-categories = {Development Studies; Economics} + web-of-science-categories = {Development Studies; Economics}, + keywords = {country::Brazil,inequality::income,region::LAC,relevant,TODO::full-text} } @article{WOS:000601162800039, @@ -37611,7 +38737,8 @@ unique-id = {WOS:000601162800039}, usage-count-last-180-days = {1}, usage-count-since-2013 = {18}, - web-of-science-categories = {Development Studies; Economics} + web-of-science-categories = {Development Studies; Economics}, + keywords = {country::India,inequality::gender,method::qualitative,method::quantitative,region::AP,relevant,TODO::full-text,type::structural} } @article{WOS:000601167800011, @@ -37635,7 +38762,8 @@ unique-id = {WOS:000601167800011}, usage-count-last-180-days = {3}, usage-count-since-2013 = {23}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::channels,country::Ukraine,inequality::gender,out::abstract,region::EU} } @article{WOS:000601323400004, @@ -37681,7 +38809,8 @@ unique-id = {WOS:000603073600002}, usage-count-last-180-days = {3}, usage-count-since-2013 = {45}, - web-of-science-categories = {Education \& Educational Research} + web-of-science-categories = {Education \& Educational Research}, + keywords = {cite::channels,inequality::migration,inequality::spatial,method::qualitative,out::abstract} } @article{WOS:000604402900009, @@ -37703,7 +38832,8 @@ unique-id = {WOS:000604402900009}, usage-count-last-180-days = {5}, usage-count-since-2013 = {35}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::channels,inequality::gender,out::abstract} } @article{WOS:000604806100003, @@ -37728,7 +38858,8 @@ unique-id = {WOS:000604806100003}, usage-count-last-180-days = {0}, usage-count-since-2013 = {11}, - web-of-science-categories = {Business; Ethics} + web-of-science-categories = {Business; Ethics}, + keywords = {cite::framework,inequality::age,inequality::migration,method::qualitative,out::abstract} } @article{WOS:000604869400005, @@ -37753,12 +38884,13 @@ unique-id = {WOS:000604869400005}, usage-count-last-180-days = {0}, usage-count-since-2013 = {22}, - web-of-science-categories = {Social Sciences, Interdisciplinary; Sociology} + web-of-science-categories = {Social Sciences, Interdisciplinary; Sociology}, + keywords = {cite::channels,country::Australia,inequality::gender,out::abstract,region::AP} } @article{WOS:000605118700002, type = {Article}, - title = {{\textexclamdown}i{\textquestiondown}{{Meet}} Me Where {{I Am}}{\textexclamdown}/I{\textquestiondown}: {{An}} Evaluation of an {{HIV}} Patient Navigation Intervention to Increase Uptake of {{PrEP}} among Black Men Who Have Sex with Men in the Deep South}, + title = {Meet Me Where {{I Am}}: {{An}} Evaluation of an {{HIV}} Patient Navigation Intervention to Increase Uptake of {{PrEP}} among Black Men Who Have Sex with Men in the Deep South}, author = {Burns, Paul A. and Omondi, Angela A. and Monger, Mauda and Ward, Lori and Washington, Rodney and Gomillia, Courtney E. Sims and {Bamrick-Fernandez}, Daniel R. and Anyimukwu, Chizoba and Mena, Leandro A.}, year = {2022}, month = feb, @@ -37778,7 +38910,8 @@ unique-id = {WOS:000605118700002}, usage-count-last-180-days = {0}, usage-count-since-2013 = {6}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::title} } @article{WOS:000607253600001, @@ -37803,7 +38936,8 @@ unique-id = {WOS:000607253600001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {3}, - web-of-science-categories = {Psychology, Clinical; Clinical Neurology; Psychology} + web-of-science-categories = {Psychology, Clinical; Clinical Neurology; Psychology}, + keywords = {out::title} } @article{WOS:000608008500007, @@ -37851,7 +38985,8 @@ unique-id = {WOS:000608135400003}, usage-count-last-180-days = {4}, usage-count-since-2013 = {20}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {out::title} } @article{WOS:000609006200002, @@ -37874,7 +39009,8 @@ unique-id = {WOS:000609006200002}, usage-count-last-180-days = {1}, usage-count-since-2013 = {8}, - web-of-science-categories = {Law} + web-of-science-categories = {Law}, + keywords = {cite::channels,country::Colombia,inequality::disability,out::abstract,region::LAC} } @article{WOS:000610971900001, @@ -37896,7 +39032,8 @@ unique-id = {WOS:000610971900001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {11}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {cite::channels,inequality::disability,inequality::poverty,out::abstract,region::LAC} } @article{WOS:000612198000004, @@ -37919,7 +39056,8 @@ unique-id = {WOS:000612198000004}, usage-count-last-180-days = {15}, usage-count-since-2013 = {73}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::channels,inequality::income,inequality::racial,out::abstract,type::minimum\_wage} } @inproceedings{WOS:000612991500054, @@ -37969,7 +39107,8 @@ unique-id = {WOS:000616337900001}, usage-count-last-180-days = {6}, usage-count-since-2013 = {35}, - web-of-science-categories = {Demography} + web-of-science-categories = {Demography}, + keywords = {country::China,inequality::gender,inequality::spatial,out::abstract,region::AP,type::trade\_liberalization} } @article{WOS:000618732000054, @@ -37992,7 +39131,8 @@ unique-id = {WOS:000618732000054}, usage-count-last-180-days = {0}, usage-count-since-2013 = {5}, - web-of-science-categories = {Business, Finance; Economics} + web-of-science-categories = {Business, Finance; Economics}, + keywords = {out::title} } @article{WOS:000619749900006, @@ -38015,7 +39155,11 @@ unique-id = {WOS:000619749900006}, usage-count-last-180-days = {1}, usage-count-since-2013 = {6}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::abstract}, + note = {looks at inequalities; +\par +does NOT look at policy intervention w LM adjacency} } @article{WOS:000620755200001, @@ -38040,7 +39184,8 @@ unique-id = {WOS:000620755200001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Gerontology} + web-of-science-categories = {Gerontology}, + keywords = {inequality::age,out::abstract} } @article{WOS:000621632000022, @@ -38064,7 +39209,8 @@ unique-id = {WOS:000621632000022}, usage-count-last-180-days = {0}, usage-count-since-2013 = {11}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::channels,country::US,inequality::income,out::abstract,region::NA} } @article{WOS:000624433400007, @@ -38111,12 +39257,13 @@ unique-id = {WOS:000625292500052}, usage-count-last-180-days = {5}, usage-count-since-2013 = {32}, - web-of-science-categories = {Green \& Sustainable Science \& Technology; Energy \& Fuels} + web-of-science-categories = {Green \& Sustainable Science \& Technology; Energy \& Fuels}, + keywords = {country::Japan,inequality::income,inequality::spatial,region::AP,relevant,TODO::full-text,type::structural} } @article{WOS:000625320600016, type = {{Article}}, - title = {{Inside the symbolic boundaries of the {\textexclamdown}i{\textquestiondown}gender order{\textexclamdown}/i{\textquestiondown} in volunteering: practices and narratives of women's participation}}, + title = {{Inside the symbolic boundaries of the gender order in volunteering: practices and narratives of women's participation}}, author = {Milani, Stella}, year = {2020}, journal = {SOCIETAMUTAMENTOPOLITICA-RIVISTA ITALIANA DI SOCIOLOGIA}, @@ -38133,7 +39280,8 @@ unique-id = {WOS:000625320600016}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {cite::further\_reading,inequality::gender,method::qualitative,out::abstract,type::volunteering} } @article{WOS:000625402300001, @@ -38158,7 +39306,8 @@ unique-id = {WOS:000625402300001}, usage-count-last-180-days = {8}, usage-count-since-2013 = {32}, - web-of-science-categories = {Development Studies} + web-of-science-categories = {Development Studies}, + keywords = {inequality::income,region::SSA,relevant,TODO::full-text,type::trade\_liberalization} } @article{WOS:000629254700004, @@ -38182,7 +39331,8 @@ unique-id = {WOS:000629254700004}, usage-count-last-180-days = {0}, usage-count-since-2013 = {5}, - web-of-science-categories = {Business} + web-of-science-categories = {Business}, + keywords = {inequality::disability,inequality::health,out::title,review::scoping} } @article{WOS:000629536400001, @@ -38207,7 +39357,11 @@ unique-id = {WOS:000629536400001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {10}, - web-of-science-categories = {Economics; Public Administration} + web-of-science-categories = {Economics; Public Administration}, + keywords = {inequality::education,inequality::gender,TODO::full-text,type::institutional}, + note = {looks at inequalities; looks at impacts of PI; +\par +does NOT directly look at LM adjacency markers (but education outcomes)} } @inproceedings{WOS:000630165800003, @@ -38230,6 +39384,7 @@ usage-count-last-180-days = {1}, usage-count-since-2013 = {13}, web-of-science-categories = {Business; Green \& Sustainable Science \& Technology}, + keywords = {cite::framework,inequality::gender,method::qualitative,out::abstract,type::structural}, note = {6th BASIQ International Conference on New Trends in Sustainable Business and Consumption, Messina, ITALY, JUN 04-06, 2020} } @@ -38254,7 +39409,8 @@ unique-id = {WOS:000630173800010}, usage-count-last-180-days = {3}, usage-count-since-2013 = {21}, - web-of-science-categories = {Development Studies; Economics} + web-of-science-categories = {Development Studies; Economics}, + keywords = {cite::channels,inequality::spatial,out::title} } @article{WOS:000632892300008, @@ -38278,7 +39434,8 @@ unique-id = {WOS:000632892300008}, usage-count-last-180-days = {1}, usage-count-since-2013 = {25}, - web-of-science-categories = {Transportation} + web-of-science-categories = {Transportation}, + keywords = {out::title} } @article{WOS:000634020200001, @@ -38303,7 +39460,8 @@ unique-id = {WOS:000634020200001}, usage-count-last-180-days = {5}, usage-count-since-2013 = {24}, - web-of-science-categories = {Industrial Relations \& Labor} + web-of-science-categories = {Industrial Relations \& Labor}, + keywords = {inequality::gender,out::abstract} } @article{WOS:000634489800001, @@ -38328,7 +39486,8 @@ unique-id = {WOS:000634489800001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {30}, - web-of-science-categories = {Psychology, Clinical; Social Sciences, Interdisciplinary} + web-of-science-categories = {Psychology, Clinical; Social Sciences, Interdisciplinary}, + keywords = {relevant,TODO::abstract} } @article{WOS:000635187900005, @@ -38352,7 +39511,8 @@ unique-id = {WOS:000635187900005}, usage-count-last-180-days = {0}, usage-count-since-2013 = {6}, - web-of-science-categories = {Area Studies; Economics} + web-of-science-categories = {Area Studies; Economics}, + keywords = {cite::channels,country::Russia,inequality::gender,out::abstract,region::AP} } @article{WOS:000635276600007, @@ -38376,7 +39536,8 @@ unique-id = {WOS:000635276600007}, usage-count-last-180-days = {0}, usage-count-since-2013 = {1}, - web-of-science-categories = {Surgery} + web-of-science-categories = {Surgery}, + keywords = {out::abstract} } @article{WOS:000636094900001, @@ -38401,7 +39562,8 @@ unique-id = {WOS:000636094900001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {4}, - web-of-science-categories = {Development Studies; Regional \& Urban Planning} + web-of-science-categories = {Development Studies; Regional \& Urban Planning}, + keywords = {out::abstract} } @article{WOS:000636764300011, @@ -38423,7 +39585,8 @@ unique-id = {WOS:000636764300011}, usage-count-last-180-days = {2}, usage-count-since-2013 = {9}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {country::US,inequality::income,region::NA,TODO::full-text,type::minimum\_wage} } @article{WOS:000637687600002, @@ -38448,7 +39611,8 @@ unique-id = {WOS:000637687600002}, usage-count-last-180-days = {0}, usage-count-since-2013 = {5}, - web-of-science-categories = {Clinical Neurology; Rehabilitation} + web-of-science-categories = {Clinical Neurology; Rehabilitation}, + keywords = {cite::channels,country::Indonesia,inequality::disability,out::abstract,region::AP} } @article{WOS:000639760300001, @@ -38473,7 +39637,8 @@ unique-id = {WOS:000639760300001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {10}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {inequality::income,out::abstract} } @article{WOS:000641247500001, @@ -38496,7 +39661,8 @@ unique-id = {WOS:000641247500001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {10}, - web-of-science-categories = {Health Policy \& Services; Industrial Relations \& Labor} + web-of-science-categories = {Health Policy \& Services; Industrial Relations \& Labor}, + keywords = {out::abstract} } @article{WOS:000641538300001, @@ -38521,7 +39687,8 @@ unique-id = {WOS:000641538300001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {8}, - web-of-science-categories = {Development Studies; Regional \& Urban Planning} + web-of-science-categories = {Development Studies; Regional \& Urban Planning}, + keywords = {cite::channels,country::Eswatini,inequality::gender,inequality::income,out::abstract,region::SSA} } @article{WOS:000641697900032, @@ -38545,7 +39712,8 @@ unique-id = {WOS:000641697900032}, usage-count-last-180-days = {5}, usage-count-since-2013 = {10}, - web-of-science-categories = {Development Studies; Economics} + web-of-science-categories = {Development Studies; Economics}, + keywords = {country::Tanzania,inequality::education,inequality::gender,region::SSA,relevant,TODO::full-text} } @article{WOS:000642332400038, @@ -38569,7 +39737,8 @@ unique-id = {WOS:000642332400038}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {cite::framework,inequality::poverty,out::abstract} } @article{WOS:000642595600050, @@ -38593,7 +39762,8 @@ unique-id = {WOS:000642595600050}, usage-count-last-180-days = {1}, usage-count-since-2013 = {13}, - web-of-science-categories = {Criminology \& Penology; Family Studies; Psychology, Applied} + web-of-science-categories = {Criminology \& Penology; Family Studies; Psychology, Applied}, + keywords = {country::Paraguay,method::qualitative,out::abstract,region::LAC} } @article{WOS:000643291200010, @@ -38618,7 +39788,8 @@ unique-id = {WOS:000643291200010}, usage-count-last-180-days = {8}, usage-count-since-2013 = {34}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {out::title} } @article{WOS:000643731600002, @@ -38642,7 +39813,8 @@ unique-id = {WOS:000643731600002}, usage-count-last-180-days = {6}, usage-count-since-2013 = {41}, - web-of-science-categories = {Development Studies; Economics} + web-of-science-categories = {Development Studies; Economics}, + keywords = {inequality::gender,inequality::health,integrated,out::title,review::narrative} } @article{WOS:000643731700004, @@ -38665,7 +39837,8 @@ unique-id = {WOS:000643731700004}, usage-count-last-180-days = {5}, usage-count-since-2013 = {22}, - web-of-science-categories = {Development Studies; Economics} + web-of-science-categories = {Development Studies; Economics}, + keywords = {country::India,inequality::gender,inequality::health,region::AP,TODO::full-text} } @article{WOS:000645500400024, @@ -38689,7 +39862,8 @@ unique-id = {WOS:000645500400024}, usage-count-last-180-days = {6}, usage-count-since-2013 = {16}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::channels,inequality::income,out::abstract} } @article{WOS:000646002300001, @@ -38714,7 +39888,8 @@ unique-id = {WOS:000646002300001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {4}, - web-of-science-categories = {Management; Women's Studies} + web-of-science-categories = {Management; Women's Studies}, + keywords = {country::Finland,inequality::gender,region::EU,TODO::full-text,type::collective\_action,type::trade\_liberalization} } @article{WOS:000646947300001, @@ -38739,7 +39914,8 @@ unique-id = {WOS:000646947300001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {20}, - web-of-science-categories = {Business; Business, Finance; Management} + web-of-science-categories = {Business; Business, Finance; Management}, + keywords = {out::abstract} } @article{WOS:000647009400011, @@ -38764,7 +39940,8 @@ unique-id = {WOS:000647009400011}, usage-count-last-180-days = {6}, usage-count-since-2013 = {18}, - web-of-science-categories = {Health Care Sciences \& Services; Medicine, General \& Internal} + web-of-science-categories = {Health Care Sciences \& Services; Medicine, General \& Internal}, + keywords = {inequality::gender,method::qualitative,out::title,review::systematic,TODO::review} } @article{WOS:000647110100015, @@ -38787,7 +39964,8 @@ unique-id = {WOS:000647110100015}, usage-count-last-180-days = {1}, usage-count-since-2013 = {10}, - web-of-science-categories = {Computer Science, Information Systems} + web-of-science-categories = {Computer Science, Information Systems}, + keywords = {out::title} } @article{WOS:000647871400001, @@ -38812,7 +39990,8 @@ unique-id = {WOS:000647871400001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {3}, - web-of-science-categories = {Health Care Sciences \& Services; Medicine, General \& Internal} + web-of-science-categories = {Health Care Sciences \& Services; Medicine, General \& Internal}, + keywords = {out::title} } @article{WOS:000648615600002, @@ -38834,7 +40013,8 @@ unique-id = {WOS:000648615600002}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Political Science} + web-of-science-categories = {Political Science}, + keywords = {out::title} } @article{WOS:000649039800001, @@ -38859,7 +40039,8 @@ unique-id = {WOS:000649039800001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {13}, - web-of-science-categories = {Business; Management; Women's Studies} + web-of-science-categories = {Business; Management; Women's Studies}, + keywords = {cite::channels,inequality::lgbt,inequality::poverty,out::abstract} } @article{WOS:000649127200001, @@ -38884,7 +40065,9 @@ unique-id = {WOS:000649127200001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {10}, - web-of-science-categories = {Criminology \& Penology; Family Studies; Psychology, Applied} + web-of-science-categories = {Criminology \& Penology; Family Studies; Psychology, Applied}, + keywords = {cite::channels,inequality::education,inequality::gender,inequality::income,out::abstract}, + note = {looks at socioeconomic factors -{$>$} domestic violence; does not look at specific policy outcomes} } @article{WOS:000649342900001, @@ -38909,7 +40092,8 @@ unique-id = {WOS:000649342900001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {11}, - web-of-science-categories = {Education \& Educational Research} + web-of-science-categories = {Education \& Educational Research}, + keywords = {cite::channels,country::Canada,country::Germany,inequality::education,inequality::gender,out::abstract} } @article{WOS:000649820200001, @@ -38934,7 +40118,8 @@ unique-id = {WOS:000649820200001}, usage-count-last-180-days = {8}, usage-count-since-2013 = {40}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {inequality::income,relevant,TODO::full-text,type::minimum\_wage} } @article{WOS:000650247500001, @@ -38957,7 +40142,8 @@ unique-id = {WOS:000650247500001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {13}, - web-of-science-categories = {Environmental Sciences; Public, Environmental \& Occupational Health} + web-of-science-categories = {Environmental Sciences; Public, Environmental \& Occupational Health}, + keywords = {out::title} } @article{WOS:000650528900001, @@ -38982,7 +40168,8 @@ unique-id = {WOS:000650528900001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {11}, - web-of-science-categories = {Political Science} + web-of-science-categories = {Political Science}, + keywords = {cite::further\_reading,out::title} } @article{WOS:000651324100001, @@ -39007,7 +40194,8 @@ unique-id = {WOS:000651324100001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {27}, - web-of-science-categories = {Social Sciences, Interdisciplinary; Sociology} + web-of-science-categories = {Social Sciences, Interdisciplinary; Sociology}, + keywords = {cite::channels,inequality::gender,out::abstract} } @article{WOS:000651888600002, @@ -39032,7 +40220,8 @@ unique-id = {WOS:000651888600002}, usage-count-last-180-days = {4}, usage-count-since-2013 = {21}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {inequality::income,TODO::full-text,type::trade\_liberalization} } @article{WOS:000652217200001, @@ -39057,7 +40246,8 @@ unique-id = {WOS:000652217200001}, usage-count-last-180-days = {4}, usage-count-since-2013 = {22}, - web-of-science-categories = {Psychiatry} + web-of-science-categories = {Psychiatry}, + keywords = {out::title} } @article{WOS:000652842000021, @@ -39081,7 +40271,8 @@ unique-id = {WOS:000652842000021}, usage-count-last-180-days = {0}, usage-count-since-2013 = {8}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {country::Italy,inequality::income,region::EU,relevant,TODO::full-text,type::ubi} } @article{WOS:000652845500025, @@ -39108,7 +40299,8 @@ unique-id = {WOS:000652845500025}, usage-count-last-180-days = {5}, usage-count-since-2013 = {35}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::abstract} } @article{WOS:000653833900002, @@ -39132,7 +40324,8 @@ unique-id = {WOS:000653833900002}, usage-count-last-180-days = {5}, usage-count-since-2013 = {12}, - web-of-science-categories = {Industrial Relations \& Labor} + web-of-science-categories = {Industrial Relations \& Labor}, + keywords = {inequality::income,out::abstract,review::narrative} } @article{WOS:000654161500003, @@ -39156,7 +40349,8 @@ unique-id = {WOS:000654161500003}, usage-count-last-180-days = {1}, usage-count-since-2013 = {9}, - web-of-science-categories = {Computer Science, Interdisciplinary Applications} + web-of-science-categories = {Computer Science, Interdisciplinary Applications}, + keywords = {cite::channels,inequality::gender,out::abstract} } @article{WOS:000654258200001, @@ -39181,7 +40375,8 @@ unique-id = {WOS:000654258200001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {6}, - web-of-science-categories = {Green \& Sustainable Science \& Technology; Environmental Studies; Geography; Regional \& Urban Planning; Urban Studies} + web-of-science-categories = {Green \& Sustainable Science \& Technology; Environmental Studies; Geography; Regional \& Urban Planning; Urban Studies}, + keywords = {inequality::health,out::abstract,review::systematic} } @article{WOS:000654636800007, @@ -39205,7 +40400,8 @@ unique-id = {WOS:000654636800007}, usage-count-last-180-days = {3}, usage-count-since-2013 = {24}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {country::Pakistan,inequality::income,region::AP,relevant,TODO::full-text,type::trade\_liberalization} } @article{WOS:000654673800010, @@ -39229,7 +40425,8 @@ unique-id = {WOS:000654673800010}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Health Policy \& Services} + web-of-science-categories = {Health Policy \& Services}, + keywords = {out::title} } @article{WOS:000655506700001, @@ -39253,7 +40450,8 @@ unique-id = {WOS:000655506700001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {3}, - web-of-science-categories = {Oncology} + web-of-science-categories = {Oncology}, + keywords = {inequality::health,out::title} } @article{WOS:000655609000003, @@ -39276,7 +40474,8 @@ unique-id = {WOS:000655609000003}, usage-count-last-180-days = {0}, usage-count-since-2013 = {3}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {country::Tanzania,inequality::gender,inequality::generational,inequality::health,out::abstract,region::SSA} } @article{WOS:000656203200001, @@ -39299,7 +40498,8 @@ unique-id = {WOS:000656203200001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {3}, - web-of-science-categories = {Health Policy \& Services} + web-of-science-categories = {Health Policy \& Services}, + keywords = {out::title} } @article{WOS:000656252000003, @@ -39323,7 +40523,8 @@ unique-id = {WOS:000656252000003}, usage-count-last-180-days = {2}, usage-count-since-2013 = {13}, - web-of-science-categories = {Social Sciences, Interdisciplinary} + web-of-science-categories = {Social Sciences, Interdisciplinary}, + keywords = {country::China,inequality::age,out::abstract,region::AP} } @article{WOS:000656593400001, @@ -39348,7 +40549,8 @@ unique-id = {WOS:000656593400001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {7}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {inequality::income,relevant,TODO::full-text} } @article{WOS:000656755200025, @@ -39371,7 +40573,8 @@ unique-id = {WOS:000656755200025}, usage-count-last-180-days = {2}, usage-count-since-2013 = {15}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {inequality::income,region::EU,TODO::abstract} } @article{WOS:000657298500007, @@ -39395,7 +40598,8 @@ unique-id = {WOS:000657298500007}, usage-count-last-180-days = {1}, usage-count-since-2013 = {9}, - web-of-science-categories = {Psychiatry; Rehabilitation} + web-of-science-categories = {Psychiatry; Rehabilitation}, + keywords = {country::US,inequality::age,inequality::disability,region::NA,relevant,TODO::full-text} } @article{WOS:000657458300001, @@ -39420,7 +40624,8 @@ unique-id = {WOS:000657458300001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {1}, - web-of-science-categories = {Geography} + web-of-science-categories = {Geography}, + keywords = {out::abstract} } @article{WOS:000658361400002, @@ -39444,7 +40649,8 @@ unique-id = {WOS:000658361400002}, usage-count-last-180-days = {5}, usage-count-since-2013 = {16}, - web-of-science-categories = {Education, Special; Rehabilitation} + web-of-science-categories = {Education, Special; Rehabilitation}, + keywords = {cite::channels,inequality::disability,out::abstract} } @article{WOS:000659769500001, @@ -39469,7 +40675,8 @@ unique-id = {WOS:000659769500001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {3}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::title} } @article{WOS:000659967800012, @@ -39492,7 +40699,8 @@ unique-id = {WOS:000659967800012}, usage-count-last-180-days = {0}, usage-count-since-2013 = {6}, - web-of-science-categories = {Law} + web-of-science-categories = {Law}, + keywords = {out::abstract} } @article{WOS:000660290800011, @@ -39515,7 +40723,8 @@ unique-id = {WOS:000660290800011}, usage-count-last-180-days = {0}, usage-count-since-2013 = {13}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {cite::channels,inequality::age,inequality::education,inequality::racial,out::abstract} } @article{WOS:000660505100001, @@ -39540,7 +40749,8 @@ unique-id = {WOS:000660505100001}, usage-count-last-180-days = {5}, usage-count-since-2013 = {26}, - web-of-science-categories = {Business; Economics; Management} + web-of-science-categories = {Business; Economics; Management}, + keywords = {out::title} } @inproceedings{WOS:000661127409052, @@ -39562,6 +40772,7 @@ usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, web-of-science-categories = {Business; Green \& Sustainable Science \& Technology; Economics; Management}, + keywords = {out::title}, note = {35th International-Business-Information-Management-Association Conference (IBIMA), Seville, SPAIN, APR 01-02, 2020} } @@ -39585,7 +40796,8 @@ unique-id = {WOS:000661192400006}, usage-count-last-180-days = {5}, usage-count-since-2013 = {22}, - web-of-science-categories = {Social Issues; Social Sciences, Interdisciplinary} + web-of-science-categories = {Social Issues; Social Sciences, Interdisciplinary}, + keywords = {relevant,TODO::full-text,type::maternity\_benefit} } @article{WOS:000661193800004, @@ -39605,7 +40817,8 @@ unique-id = {WOS:000661193800004}, usage-count-last-180-days = {0}, usage-count-since-2013 = {7}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {inequality::gender,out::abstract} } @incollection{WOS:000661646100014, @@ -39628,7 +40841,8 @@ unique-id = {WOS:000661646100014}, usage-count-last-180-days = {0}, usage-count-since-2013 = {1}, - web-of-science-categories = {Family Studies; Social Issues; Women's Studies} + web-of-science-categories = {Family Studies; Social Issues; Women's Studies}, + keywords = {cite::further\_reading,inequality::gender,inequality::generational,method::qualitative,out::abstract} } @inproceedings{WOS:000662554705092, @@ -39652,6 +40866,7 @@ usage-count-last-180-days = {0}, usage-count-since-2013 = {1}, web-of-science-categories = {Computer Science, Artificial Intelligence; Computer Science, Information Systems; Computer Science, Theory \& Methods}, + keywords = {out::title}, note = {8th IEEE International Conference on Big Data (Big Data), ELECTR NETWORK, DEC 10-13, 2020} } @@ -39677,7 +40892,8 @@ unique-id = {WOS:000664780600001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {9}, - web-of-science-categories = {Public Administration} + web-of-science-categories = {Public Administration}, + keywords = {country::Australia,inequality::disability,region::AP,relevant,TODO::abstract} } @article{WOS:000664930500001, @@ -39702,7 +40918,8 @@ unique-id = {WOS:000664930500001}, usage-count-last-180-days = {4}, usage-count-since-2013 = {39}, - web-of-science-categories = {Nursing} + web-of-science-categories = {Nursing}, + keywords = {inequality::health,inequality::racial,inequality::spatial,out::abstract} } @article{WOS:000665828700001, @@ -39727,7 +40944,8 @@ unique-id = {WOS:000665828700001}, usage-count-last-180-days = {6}, usage-count-since-2013 = {21}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {inequality::income,relevant,TODO::full-text,type::minimum\_wage} } @article{WOS:000667739500018, @@ -39750,7 +40968,8 @@ unique-id = {WOS:000667739500018}, usage-count-last-180-days = {0}, usage-count-since-2013 = {1}, - web-of-science-categories = {Health Policy \& Services} + web-of-science-categories = {Health Policy \& Services}, + keywords = {out::title} } @article{WOS:000669433300004, @@ -39771,12 +40990,13 @@ unique-id = {WOS:000669433300004}, usage-count-last-180-days = {1}, usage-count-since-2013 = {15}, - web-of-science-categories = {Environmental Studies} + web-of-science-categories = {Environmental Studies}, + keywords = {country::Spain,inequality::income,region::EU,relevant,TODO::full-text,type::ubi} } @article{WOS:000669536100003, type = {{Article}}, - title = {{{\textexclamdown}i{\textquestiondown}Ex ante{\textexclamdown}/i{\textquestiondown} evaluation of the basic income in Ecuador: Effects on poverty and inequality}}, + title = {{Ex ante evaluation of the basic income in Ecuador: Effects on poverty and inequality}}, author = {Albuja Echeverria, Wilson Santiago}, year = {2021}, month = jul, @@ -39795,7 +41015,8 @@ unique-id = {WOS:000669536100003}, usage-count-last-180-days = {1}, usage-count-since-2013 = {3}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {country::Ecuador,inequality::income,inequality::poverty,region::LAC,relevant,TODO::full-text,type::ubi} } @article{WOS:000670676400001, @@ -39820,7 +41041,8 @@ unique-id = {WOS:000670676400001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {12}, - web-of-science-categories = {Economics; Industrial Relations \& Labor} + web-of-science-categories = {Economics; Industrial Relations \& Labor}, + keywords = {cite::channels,country::India,inequality::gender,inequality::income,out::abstract,region::AP} } @article{WOS:000671140800004, @@ -39844,7 +41066,8 @@ unique-id = {WOS:000671140800004}, usage-count-last-180-days = {0}, usage-count-since-2013 = {7}, - web-of-science-categories = {Geriatrics \& Gerontology; Gerontology; Psychology; Psychology, Multidisciplinary} + web-of-science-categories = {Geriatrics \& Gerontology; Gerontology; Psychology; Psychology, Multidisciplinary}, + keywords = {cite::further\_reading,out::abstract} } @article{WOS:000672080600001, @@ -39869,7 +41092,8 @@ unique-id = {WOS:000672080600001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {4}, - web-of-science-categories = {Social Issues; Social Sciences, Interdisciplinary} + web-of-science-categories = {Social Issues; Social Sciences, Interdisciplinary}, + keywords = {country::South\_Africa,inequality::income,region::SSA,relevant,TODO::full-text,type::minimum\_wage} } @article{WOS:000672750800005, @@ -39893,12 +41117,13 @@ unique-id = {WOS:000672750800005}, usage-count-last-180-days = {2}, usage-count-since-2013 = {11}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::channels,inequality::gender,out::abstract} } @article{WOS:000673149200001, type = {Article}, - title = {Highly Skilled, yet Invisible. {{The}} Potential of Migrant Women with a {{STEMM}} Background in {{Italy}} between Intersectional Barriers and Resources}, + title = {Highly Skilled, yet Invisible. {{The}} Potential of Migrant Women with a {{STEM}} Background in {{Italy}} between Intersectional Barriers and Resources}, author = {Bolzani, Daniela and Crivellaro, Francesca and Grimaldi, Rosa}, year = {2021}, month = nov, @@ -39918,7 +41143,8 @@ unique-id = {WOS:000673149200001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {9}, - web-of-science-categories = {Management; Women's Studies} + web-of-science-categories = {Management; Women's Studies}, + keywords = {cite::channels,country::Italy,inequality::gender,inequality::migration,out::abstract,region::EU} } @article{WOS:000673711200001, @@ -39943,7 +41169,8 @@ unique-id = {WOS:000673711200001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {4}, - web-of-science-categories = {Education \& Educational Research} + web-of-science-categories = {Education \& Educational Research}, + keywords = {out::title} } @article{WOS:000674299700019, @@ -39967,7 +41194,8 @@ unique-id = {WOS:000674299700019}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Social Sciences, Interdisciplinary} + web-of-science-categories = {Social Sciences, Interdisciplinary}, + keywords = {cite::channels,inequality::disability,method::qualitative,out::abstract} } @article{WOS:000675798000001, @@ -39992,7 +41220,8 @@ unique-id = {WOS:000675798000001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {18}, - web-of-science-categories = {Public Administration; Social Issues} + web-of-science-categories = {Public Administration; Social Issues}, + keywords = {relevant,TODO::abstract} } @article{WOS:000676038200001, @@ -40017,7 +41246,8 @@ unique-id = {WOS:000676038200001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {22}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {inequality::income,TODO::abstract} } @article{WOS:000676133700001, @@ -40042,7 +41272,8 @@ unique-id = {WOS:000676133700001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {16}, - web-of-science-categories = {Management; Women's Studies} + web-of-science-categories = {Management; Women's Studies}, + keywords = {country::Australia,country::US,inequality::gender,inequality::generational,out::abstract,region::AP,region::NA} } @article{WOS:000676884700001, @@ -40067,7 +41298,8 @@ unique-id = {WOS:000676884700001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {15}, - web-of-science-categories = {Nursing} + web-of-science-categories = {Nursing}, + keywords = {inequality::health,out::title,review::systematic} } @article{WOS:000677641900001, @@ -40092,7 +41324,8 @@ unique-id = {WOS:000677641900001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {3}, - web-of-science-categories = {Business} + web-of-science-categories = {Business}, + keywords = {country::Saudi\_Arabia,inequality::gender,region::MENA,relevant,TODO::abstract} } @inproceedings{WOS:000679066800240, @@ -40115,6 +41348,7 @@ usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, web-of-science-categories = {Business; Business, Finance; Economics; Education \& Educational Research; Management; Operations Research \& Management Science}, + keywords = {country::Russia,inequality::income,out::abstract,region::AP}, note = {International Scientific Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon), Vladivostok, RUSSIA, OCT 02-04, 2018} } @@ -40136,7 +41370,8 @@ unique-id = {WOS:000680868200006}, usage-count-last-180-days = {1}, usage-count-since-2013 = {10}, - web-of-science-categories = {Education \& Educational Research} + web-of-science-categories = {Education \& Educational Research}, + keywords = {inequality::education,out::abstract} } @inproceedings{WOS:000681676300023, @@ -40158,6 +41393,7 @@ usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, web-of-science-categories = {Business; Business, Finance; Economics; International Relations; Management}, + keywords = {out::title}, note = {18th International Scientific Conference on Globalization and Its Socio-Economic Consequences, Rajecke Teplice, SLOVAKIA, OCT 10-11, 2018} } @@ -40183,7 +41419,8 @@ unique-id = {WOS:000682505100001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {10}, - web-of-science-categories = {Demography} + web-of-science-categories = {Demography}, + keywords = {cite::channels,country::US,inequality::racial,inequality::spatial,out::abstract,region::NA} } @article{WOS:000683346000003, @@ -40206,7 +41443,8 @@ unique-id = {WOS:000683346000003}, usage-count-last-180-days = {1}, usage-count-since-2013 = {2}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::channels,country::Malawy,inequality::poverty,out::abstract,region::SSA} } @article{WOS:000683570600022, @@ -40229,7 +41467,8 @@ unique-id = {WOS:000683570600022}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Social Sciences, Interdisciplinary} + web-of-science-categories = {Social Sciences, Interdisciplinary}, + keywords = {cite::channels,country::Portugal,inequality::education,inequality::gender,inequality::income,inequality::spatial,out::abstract,region::EU} } @article{WOS:000683686300001, @@ -40254,7 +41493,8 @@ unique-id = {WOS:000683686300001}, usage-count-last-180-days = {4}, usage-count-since-2013 = {11}, - web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services; Public, Environmental \& Occupational Health} + web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services; Public, Environmental \& Occupational Health}, + keywords = {out::title} } @article{WOS:000684213700007, @@ -40277,7 +41517,8 @@ unique-id = {WOS:000684213700007}, usage-count-last-180-days = {2}, usage-count-since-2013 = {5}, - web-of-science-categories = {Health Policy \& Services} + web-of-science-categories = {Health Policy \& Services}, + keywords = {out::title} } @article{WOS:000684853000001, @@ -40302,7 +41543,8 @@ unique-id = {WOS:000684853000001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {4}, - web-of-science-categories = {Economics; Industrial Relations \& Labor} + web-of-science-categories = {Economics; Industrial Relations \& Labor}, + keywords = {cite::channels,inequality::income,out::abstract,type::collective\_action} } @article{WOS:000685223600001, @@ -40327,7 +41569,8 @@ unique-id = {WOS:000685223600001}, usage-count-last-180-days = {4}, usage-count-since-2013 = {14}, - web-of-science-categories = {Management} + web-of-science-categories = {Management}, + keywords = {out::title} } @article{WOS:000685557600001, @@ -40352,7 +41595,8 @@ unique-id = {WOS:000685557600001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {8}, - web-of-science-categories = {Environmental Studies} + web-of-science-categories = {Environmental Studies}, + keywords = {cite::further\_reading,method::qualitative,out::abstract} } @article{WOS:000687090100001, @@ -40377,7 +41621,8 @@ unique-id = {WOS:000687090100001}, usage-count-last-180-days = {4}, usage-count-since-2013 = {20}, - web-of-science-categories = {Nursing} + web-of-science-categories = {Nursing}, + keywords = {method::qualitative,out::title,review::systematic,TODO::review} } @article{WOS:000687298700001, @@ -40401,7 +41646,8 @@ unique-id = {WOS:000687298700001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {16}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::channels,inequality::gender,out::title} } @article{WOS:000690836800001, @@ -40422,7 +41668,8 @@ unique-id = {WOS:000690836800001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {7}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {out::abstract} } @article{WOS:000690872400004, @@ -40446,7 +41693,8 @@ unique-id = {WOS:000690872400004}, usage-count-last-180-days = {1}, usage-count-since-2013 = {13}, - web-of-science-categories = {Development Studies; Economics} + web-of-science-categories = {Development Studies; Economics}, + keywords = {cite::channels,inequality::income,out::abstract} } @article{WOS:000693058000001, @@ -40471,7 +41719,8 @@ unique-id = {WOS:000693058000001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {15}, - web-of-science-categories = {Geography; Women's Studies} + web-of-science-categories = {Geography; Women's Studies}, + keywords = {out::title} } @article{WOS:000693070000010, @@ -40496,7 +41745,8 @@ unique-id = {WOS:000693070000010}, usage-count-last-180-days = {1}, usage-count-since-2013 = {3}, - web-of-science-categories = {Public, Environmental \& Occupational Health; Medicine, General \& Internal} + web-of-science-categories = {Public, Environmental \& Occupational Health; Medicine, General \& Internal}, + keywords = {country::US,inequality::health,inequality::racial,out::abstract,region::NA} } @article{WOS:000696521700001, @@ -40519,7 +41769,8 @@ unique-id = {WOS:000696521700001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {36}, - web-of-science-categories = {Health Policy \& Services; Industrial Relations \& Labor} + web-of-science-categories = {Health Policy \& Services; Industrial Relations \& Labor}, + keywords = {out::title} } @article{WOS:000697998100073, @@ -40543,7 +41794,8 @@ unique-id = {WOS:000697998100073}, usage-count-last-180-days = {2}, usage-count-since-2013 = {10}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {country::US,inequality::health,region::NA,TODO::full-text} } @article{WOS:000698241500001, @@ -40568,7 +41820,8 @@ unique-id = {WOS:000698241500001}, usage-count-last-180-days = {8}, usage-count-since-2013 = {40}, - web-of-science-categories = {Economics; International Relations; Political Science} + web-of-science-categories = {Economics; International Relations; Political Science}, + keywords = {inequality::spatial,relevant,TODO::abstract} } @article{WOS:000698284600001, @@ -40593,7 +41846,8 @@ unique-id = {WOS:000698284600001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {5}, - web-of-science-categories = {Ethnic Studies; Sociology} + web-of-science-categories = {Ethnic Studies; Sociology}, + keywords = {country::Korea,out::abstract,region::AP,type::collective\_action} } @article{WOS:000701448400002, @@ -40616,7 +41870,8 @@ unique-id = {WOS:000701448400002}, usage-count-last-180-days = {1}, usage-count-since-2013 = {3}, - web-of-science-categories = {Immunology; Infectious Diseases} + web-of-science-categories = {Immunology; Infectious Diseases}, + keywords = {out::title,region::SSA,review::systematic,TODO::review} } @article{WOS:000703265700004, @@ -40638,7 +41893,8 @@ unique-id = {WOS:000703265700004}, usage-count-last-180-days = {1}, usage-count-since-2013 = {2}, - web-of-science-categories = {Law} + web-of-science-categories = {Law}, + keywords = {cite::channels,country::Mexico,inequality::gender,out::abstract,region::LAC} } @article{WOS:000704378300013, @@ -40663,7 +41919,8 @@ unique-id = {WOS:000704378300013}, usage-count-last-180-days = {2}, usage-count-since-2013 = {9}, - web-of-science-categories = {Psychology, Applied; Management; Psychology, Social} + web-of-science-categories = {Psychology, Applied; Management; Psychology, Social}, + keywords = {cite::channels,inequality::racial,TODO::full-text} } @article{WOS:000704399000003, @@ -40686,7 +41943,8 @@ unique-id = {WOS:000704399000003}, usage-count-last-180-days = {2}, usage-count-since-2013 = {15}, - web-of-science-categories = {Family Studies} + web-of-science-categories = {Family Studies}, + keywords = {cite::channels,country::Germany,inequality::gender,inequality::migration,out::abstract,region::EU} } @article{WOS:000704802000008, @@ -40710,7 +41968,8 @@ unique-id = {WOS:000704802000008}, usage-count-last-180-days = {4}, usage-count-since-2013 = {16}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {out::title} } @article{WOS:000705093600006, @@ -40734,7 +41993,8 @@ unique-id = {WOS:000705093600006}, usage-count-last-180-days = {1}, usage-count-since-2013 = {11}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {cite::channels,inequality::disability,inequality::health,out::title} } @article{WOS:000705862300006, @@ -40758,7 +42018,8 @@ unique-id = {WOS:000705862300006}, usage-count-last-180-days = {13}, usage-count-since-2013 = {58}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {out::title} } @article{WOS:000706736400001, @@ -40781,7 +42042,8 @@ unique-id = {WOS:000706736400001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {3}, - web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services} + web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services}, + keywords = {out::title,review::critical} } @article{WOS:000707398800004, @@ -40805,7 +42067,8 @@ unique-id = {WOS:000707398800004}, usage-count-last-180-days = {7}, usage-count-since-2013 = {14}, - web-of-science-categories = {Development Studies; Economics} + web-of-science-categories = {Development Studies; Economics}, + keywords = {out::title} } @article{WOS:000707763500001, @@ -40830,7 +42093,8 @@ unique-id = {WOS:000707763500001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {3}, - web-of-science-categories = {Health Care Sciences \& Services} + web-of-science-categories = {Health Care Sciences \& Services}, + keywords = {country::US,out::title,region::NA} } @article{WOS:000708514100044, @@ -40853,7 +42117,8 @@ unique-id = {WOS:000708514100044}, usage-count-last-180-days = {0}, usage-count-since-2013 = {3}, - web-of-science-categories = {Cardiac \& Cardiovascular Systems} + web-of-science-categories = {Cardiac \& Cardiovascular Systems}, + keywords = {out::title} } @article{WOS:000708820300001, @@ -40878,7 +42143,8 @@ unique-id = {WOS:000708820300001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {3}, - web-of-science-categories = {Primary Health Care; Medicine, General \& Internal} + web-of-science-categories = {Primary Health Care; Medicine, General \& Internal}, + keywords = {cite::channels,inequality::health,inequality::lgbt,method::qualitative,out::abstract} } @article{WOS:000709318600001, @@ -40901,7 +42167,8 @@ unique-id = {WOS:000709318600001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {5}, - web-of-science-categories = {Endocrinology \& Metabolism; Genetics \& Heredity} + web-of-science-categories = {Endocrinology \& Metabolism; Genetics \& Heredity}, + keywords = {out::title} } @article{WOS:000710476700013, @@ -40925,7 +42192,9 @@ unique-id = {WOS:000710476700013}, usage-count-last-180-days = {1}, usage-count-since-2013 = {9}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {inequality::consumption,TODO::full-text,type::cash\_transfer}, + note = {Strong urgence to consider why absence of wealth inequality is a chosen control. Does this ever produce reliable results outside of a vacuum then?} } @article{WOS:000710542800010, @@ -40949,7 +42218,8 @@ unique-id = {WOS:000710542800010}, usage-count-last-180-days = {2}, usage-count-since-2013 = {11}, - web-of-science-categories = {Development Studies; Economics} + web-of-science-categories = {Development Studies; Economics}, + keywords = {cite::channels,country::Nigeria,ineqality::income,inequality::gender,out::abstract,region::SSA} } @article{WOS:000711380600007, @@ -40972,7 +42242,8 @@ unique-id = {WOS:000711380600007}, usage-count-last-180-days = {11}, usage-count-since-2013 = {26}, - web-of-science-categories = {International Relations} + web-of-science-categories = {International Relations}, + keywords = {out::abstract} } @article{WOS:000712067300001, @@ -40997,7 +42268,8 @@ unique-id = {WOS:000712067300001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {3}, - web-of-science-categories = {Health Policy \& Services} + web-of-science-categories = {Health Policy \& Services}, + keywords = {out::title} } @article{WOS:000712184600001, @@ -41022,7 +42294,8 @@ unique-id = {WOS:000712184600001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {6}, - web-of-science-categories = {Cultural Studies} + web-of-science-categories = {Cultural Studies}, + keywords = {country::Spain,inequality::gender,region::EU,TODO::abstract} } @article{WOS:000712693400001, @@ -41047,7 +42320,8 @@ unique-id = {WOS:000712693400001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {5}, - web-of-science-categories = {Demography; Ethnic Studies} + web-of-science-categories = {Demography; Ethnic Studies}, + keywords = {country::Canada,method::qualitative,out::title,region::NA} } @article{WOS:000713356400005, @@ -41071,7 +42345,8 @@ unique-id = {WOS:000713356400005}, usage-count-last-180-days = {1}, usage-count-since-2013 = {2}, - web-of-science-categories = {Psychology, Developmental} + web-of-science-categories = {Psychology, Developmental}, + keywords = {issue::language,out::title} } @article{WOS:000715614800030, @@ -41093,7 +42368,8 @@ unique-id = {WOS:000715614800030}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Medicine, General \& Internal} + web-of-science-categories = {Medicine, General \& Internal}, + keywords = {out::title,review::systematic} } @article{WOS:000716494700001, @@ -41118,7 +42394,8 @@ unique-id = {WOS:000716494700001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {14}, - web-of-science-categories = {Industrial Relations \& Labor} + web-of-science-categories = {Industrial Relations \& Labor}, + keywords = {inequality::gender,inequality::income,inequality::racial,TODO::abstract,type::collective\_action} } @article{WOS:000717727600001, @@ -41143,7 +42420,8 @@ unique-id = {WOS:000717727600001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {5}, - web-of-science-categories = {Medicine, General \& Internal} + web-of-science-categories = {Medicine, General \& Internal}, + keywords = {out::abstract} } @article{WOS:000719326700001, @@ -41167,7 +42445,8 @@ unique-id = {WOS:000719326700001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {17}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::channels,inequality::gender,inequality::income,out::abstract} } @article{WOS:000719976400001, @@ -41192,7 +42471,8 @@ unique-id = {WOS:000719976400001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {5}, - web-of-science-categories = {Management; Women's Studies} + web-of-science-categories = {Management; Women's Studies}, + keywords = {inequality::gender,TODO::abstract} } @article{WOS:000720754600013, @@ -41216,7 +42496,8 @@ unique-id = {WOS:000720754600013}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Economics; Political Science; Sociology} + web-of-science-categories = {Economics; Political Science; Sociology}, + keywords = {cite::framework,inequality::income,out::abstract} } @article{WOS:000721192200001, @@ -41240,7 +42521,8 @@ unique-id = {WOS:000721192200001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {5}, - web-of-science-categories = {Political Science} + web-of-science-categories = {Political Science}, + keywords = {out::title} } @article{WOS:000721340500001, @@ -41265,7 +42547,8 @@ unique-id = {WOS:000721340500001}, usage-count-last-180-days = {27}, usage-count-since-2013 = {110}, - web-of-science-categories = {Management} + web-of-science-categories = {Management}, + keywords = {out::title,review::systematic} } @article{WOS:000721694700001, @@ -41289,7 +42572,8 @@ unique-id = {WOS:000721694700001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {17}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {country::US,inequality::income,region::NA,TODO::full-text,type::taxation} } @article{WOS:000722659200007, @@ -41313,7 +42597,8 @@ unique-id = {WOS:000722659200007}, usage-count-last-180-days = {1}, usage-count-since-2013 = {8}, - web-of-science-categories = {Architecture} + web-of-science-categories = {Architecture}, + keywords = {cite::channels,inequality::disability,out::abstract} } @article{WOS:000723495900001, @@ -41338,7 +42623,8 @@ unique-id = {WOS:000723495900001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {19}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {out::title} } @article{WOS:000723623000001, @@ -41363,7 +42649,8 @@ unique-id = {WOS:000723623000001}, usage-count-last-180-days = {4}, usage-count-since-2013 = {7}, - web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services} + web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services}, + keywords = {TODO::abstract} } @article{WOS:000723944300001, @@ -41388,7 +42675,8 @@ unique-id = {WOS:000723944300001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {3}, - web-of-science-categories = {Environmental Sciences; Environmental Studies} + web-of-science-categories = {Environmental Sciences; Environmental Studies}, + keywords = {out::title} } @article{WOS:000724285300004, @@ -41412,7 +42700,8 @@ unique-id = {WOS:000724285300004}, usage-count-last-180-days = {0}, usage-count-since-2013 = {5}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {cite::channels,country::US,inequality::income,inequality::spatial,out::abstract,region::NA} } @article{WOS:000724791700008, @@ -41436,7 +42725,8 @@ unique-id = {WOS:000724791700008}, usage-count-last-180-days = {0}, usage-count-since-2013 = {5}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {country::New\_Zealand,inequality::income,region::AP,relevant,TODO::full-text,type::ubi} } @article{WOS:000726560400047, @@ -41459,7 +42749,8 @@ unique-id = {WOS:000726560400047}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Social Sciences, Interdisciplinary} + web-of-science-categories = {Social Sciences, Interdisciplinary}, + keywords = {cite::framework,inequality::gender,out::abstract,region::LAC} } @article{WOS:000727172800001, @@ -41484,7 +42775,8 @@ unique-id = {WOS:000727172800001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {5}, - web-of-science-categories = {Rehabilitation} + web-of-science-categories = {Rehabilitation}, + keywords = {cite::channels,inequality::age,inequality::disability,out::abstract} } @inproceedings{WOS:000728594100018, @@ -41507,6 +42799,7 @@ usage-count-last-180-days = {0}, usage-count-since-2013 = {4}, web-of-science-categories = {Business; Economics}, + keywords = {out::abstract}, note = {10th International Scientific Symposium on Region, Entrepreneurship, Development (RED), Osijek, CROATIA, JUN, 2021} } @@ -41531,7 +42824,8 @@ unique-id = {WOS:000728754700002}, usage-count-last-180-days = {2}, usage-count-since-2013 = {11}, - web-of-science-categories = {Sociology; Women's Studies} + web-of-science-categories = {Sociology; Women's Studies}, + keywords = {inequality::gender,out::title} } @article{WOS:000730915400001, @@ -41556,7 +42850,8 @@ unique-id = {WOS:000730915400001}, usage-count-last-180-days = {4}, usage-count-since-2013 = {24}, - web-of-science-categories = {Family Studies} + web-of-science-categories = {Family Studies}, + keywords = {out::title} } @article{WOS:000731043100001, @@ -41581,7 +42876,8 @@ unique-id = {WOS:000731043100001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {24}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {out::title} } @article{WOS:000731399400020, @@ -41605,7 +42901,9 @@ unique-id = {WOS:000731399400020}, usage-count-last-180-days = {3}, usage-count-since-2013 = {13}, - web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services; Public, Environmental \& Occupational Health; Rehabilitation} + web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services; Public, Environmental \& Occupational Health; Rehabilitation}, + keywords = {inequality::age,inequality::disability,out::title}, + note = {does not look at specific policy intervention} } @article{WOS:000732604600001, @@ -41630,7 +42928,8 @@ unique-id = {WOS:000732604600001}, usage-count-last-180-days = {5}, usage-count-since-2013 = {11}, - web-of-science-categories = {Geography; Women's Studies} + web-of-science-categories = {Geography; Women's Studies}, + keywords = {out::abstract} } @article{WOS:000733180500001, @@ -41655,7 +42954,8 @@ unique-id = {WOS:000733180500001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {1}, - web-of-science-categories = {Health Care Sciences \& Services; Family Studies; Public, Environmental \& Occupational Health} + web-of-science-categories = {Health Care Sciences \& Services; Family Studies; Public, Environmental \& Occupational Health}, + keywords = {out::title} } @article{WOS:000738766500001, @@ -41678,7 +42978,8 @@ unique-id = {WOS:000738766500001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {21}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {cite::channels,inequality::gender,inequality::generational,inequality::income,out::abstract} } @article{WOS:000740276500004, @@ -41700,7 +43001,8 @@ unique-id = {WOS:000740276500004}, usage-count-last-180-days = {2}, usage-count-since-2013 = {9}, - web-of-science-categories = {Religion} + web-of-science-categories = {Religion}, + keywords = {out::abstract} } @article{WOS:000741133000013, @@ -41724,7 +43026,8 @@ unique-id = {WOS:000741133000013}, usage-count-last-180-days = {0}, usage-count-since-2013 = {4}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {out::abstract} } @article{WOS:000742061000001, @@ -41749,7 +43052,8 @@ unique-id = {WOS:000742061000001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {6}, - web-of-science-categories = {Nursing} + web-of-science-categories = {Nursing}, + keywords = {out::title} } @article{WOS:000742360300002, @@ -41772,7 +43076,8 @@ unique-id = {WOS:000742360300002}, usage-count-last-180-days = {0}, usage-count-since-2013 = {11}, - web-of-science-categories = {Green \& Sustainable Science \& Technology; Energy \& Fuels} + web-of-science-categories = {Green \& Sustainable Science \& Technology; Energy \& Fuels}, + keywords = {country::Tanzania,region::SSA,relevant,TODO::full-text} } @article{WOS:000742514900001, @@ -41797,7 +43102,8 @@ unique-id = {WOS:000742514900001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {4}, - web-of-science-categories = {Gerontology} + web-of-science-categories = {Gerontology}, + keywords = {TODO::abstract} } @article{WOS:000742917500001, @@ -41847,7 +43153,8 @@ unique-id = {WOS:000743239100012}, usage-count-last-180-days = {1}, usage-count-since-2013 = {11}, - web-of-science-categories = {Psychology, Multidisciplinary} + web-of-science-categories = {Psychology, Multidisciplinary}, + keywords = {inequality::gender,out::title} } @article{WOS:000744167000001, @@ -41869,7 +43176,8 @@ unique-id = {WOS:000744167000001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Nursing} + web-of-science-categories = {Nursing}, + keywords = {out::title} } @article{WOS:000744168600003, @@ -41920,7 +43228,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000744190500004}, usage-count-last-180-days = {0}, usage-count-since-2013 = {1}, - web-of-science-categories = {Social Issues} + web-of-science-categories = {Social Issues}, + keywords = {country::Bosnia\_Herzegovina,inequality::gender,region::EU,TODO::full-text} } @article{WOS:000744463500005, @@ -41943,7 +43252,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000744463500005}, usage-count-last-180-days = {2}, usage-count-since-2013 = {4}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::channels,country::Russia,inequality::gender,inequality::generational,out::abstract,region::AP} } @article{WOS:000744541300007, @@ -41967,7 +43277,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000744541300007}, usage-count-last-180-days = {0}, usage-count-since-2013 = {1}, - web-of-science-categories = {Endocrinology \& Metabolism} + web-of-science-categories = {Endocrinology \& Metabolism}, + keywords = {out::title} } @article{WOS:000744925100017, @@ -41990,7 +43301,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000744925100017}, usage-count-last-180-days = {1}, usage-count-since-2013 = {7}, - web-of-science-categories = {Medicine, General \& Internal} + web-of-science-categories = {Medicine, General \& Internal}, + keywords = {inequality::gender,out::review,review::scoping,TODO::review} } @article{WOS:000747222000028, @@ -42012,7 +43324,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000747222000028}, usage-count-last-180-days = {1}, usage-count-since-2013 = {5}, - web-of-science-categories = {Business, Finance} + web-of-science-categories = {Business, Finance}, + keywords = {out::title} } @article{WOS:000748708900007, @@ -42035,7 +43348,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000748708900007}, usage-count-last-180-days = {4}, usage-count-since-2013 = {18}, - web-of-science-categories = {Humanities, Multidisciplinary} + web-of-science-categories = {Humanities, Multidisciplinary}, + keywords = {country::Canada,inequality::age,region::NA,relevant,TODO::full-text} } @article{WOS:000748803300001, @@ -42060,7 +43374,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000748803300001}, usage-count-last-180-days = {4}, usage-count-since-2013 = {11}, - web-of-science-categories = {Rehabilitation} + web-of-science-categories = {Rehabilitation}, + keywords = {cite::channels,inequality::disability,out::title} } @article{WOS:000748886900001, @@ -42085,7 +43400,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000748886900001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {5}, - web-of-science-categories = {Sociology; Women's Studies} + web-of-science-categories = {Sociology; Women's Studies}, + keywords = {method::qualitative,TODO::abstract} } @article{WOS:000749609300001, @@ -42110,7 +43426,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000749609300001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {3}, - web-of-science-categories = {Education \& Educational Research} + web-of-science-categories = {Education \& Educational Research}, + keywords = {inequality::age,inequality::gender,TODO::full-text} } @article{WOS:000749973000001, @@ -42135,7 +43452,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000749973000001}, usage-count-last-180-days = {5}, usage-count-since-2013 = {25}, - web-of-science-categories = {Oncology; Social Sciences, Biomedical} + web-of-science-categories = {Oncology; Social Sciences, Biomedical}, + keywords = {country::US,inequality::disability,region::NA,TODO::abstract} } @article{WOS:000750873800014, @@ -42159,6 +43477,7 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} usage-count-last-180-days = {0}, usage-count-since-2013 = {11}, web-of-science-categories = {Mining \& Mineral Processing}, + keywords = {country::Vietnam,inequality::gender,region::AP,TODO::full-text}, note = {6th International Conference on Scientific-Research Cooperation between Vietnam and Poland (VIET-POL), HUMG, Hanoi, VIETNAM, NOV 10-14, 2021} } @@ -42182,7 +43501,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000751323900001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {3}, - web-of-science-categories = {Green \& Sustainable Science \& Technology; Environmental Sciences; Environmental Studies} + web-of-science-categories = {Green \& Sustainable Science \& Technology; Environmental Sciences; Environmental Studies}, + keywords = {TODO::abstract} } @article{WOS:000751584000001, @@ -42207,7 +43527,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000751584000001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {3}, - web-of-science-categories = {Education \& Educational Research} + web-of-science-categories = {Education \& Educational Research}, + keywords = {TODO::abstract} } @article{WOS:000751648300011, @@ -42232,7 +43553,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000751648300011}, usage-count-last-180-days = {2}, usage-count-since-2013 = {11}, - web-of-science-categories = {Education, Scientific Disciplines; Nutrition \& Dietetics} + web-of-science-categories = {Education, Scientific Disciplines; Nutrition \& Dietetics}, + keywords = {cite::channels,inequality::gender,inequality::racial,method::qualitative,out::abstract} } @article{WOS:000751852000008, @@ -42257,7 +43579,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000751852000008}, usage-count-last-180-days = {2}, usage-count-since-2013 = {5}, - web-of-science-categories = {Geriatrics \& Gerontology} + web-of-science-categories = {Geriatrics \& Gerontology}, + keywords = {relevant,TODO::abstract} } @article{WOS:000751872400032, @@ -42279,7 +43602,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000751872400032}, usage-count-last-180-days = {0}, usage-count-since-2013 = {7}, - web-of-science-categories = {Green \& Sustainable Science \& Technology; Environmental Sciences; Environmental Studies; Urban Studies} + web-of-science-categories = {Green \& Sustainable Science \& Technology; Environmental Sciences; Environmental Studies; Urban Studies}, + keywords = {out::title} } @article{WOS:000752076100049, @@ -42302,7 +43626,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000752076100049}, usage-count-last-180-days = {1}, usage-count-since-2013 = {10}, - web-of-science-categories = {Multidisciplinary Sciences} + web-of-science-categories = {Multidisciplinary Sciences}, + keywords = {cite::channels,country::Canada,inequality::disability,out::abstract,region::NA} } @article{WOS:000753082200004, @@ -42326,7 +43651,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000753082200004}, usage-count-last-180-days = {0}, usage-count-since-2013 = {4}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {out::abstract} } @article{WOS:000753795300002, @@ -42351,7 +43677,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000753795300002}, usage-count-last-180-days = {19}, usage-count-since-2013 = {52}, - web-of-science-categories = {Psychology, Biological; Multidisciplinary Sciences; Neurosciences; Psychology, Experimental} + web-of-science-categories = {Psychology, Biological; Multidisciplinary Sciences; Neurosciences; Psychology, Experimental}, + keywords = {inequality::gender,relevant,TODO::abstract} } @article{WOS:000753804900001, @@ -42376,7 +43703,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000753804900001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {16}, - web-of-science-categories = {Oncology; Social Sciences, Biomedical} + web-of-science-categories = {Oncology; Social Sciences, Biomedical}, + keywords = {cite::channels,inequality::gender,inequality::health,out::title} } @article{WOS:000753843100001, @@ -42398,7 +43726,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000753843100001}, usage-count-last-180-days = {4}, usage-count-since-2013 = {11}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {out::title} } @article{WOS:000754171900001, @@ -42420,7 +43749,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000754171900001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {5}, - web-of-science-categories = {Education \& Educational Research} + web-of-science-categories = {Education \& Educational Research}, + keywords = {cite::framework,out::title} } @article{WOS:000754356800003, @@ -42445,7 +43775,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000754356800003}, usage-count-last-180-days = {3}, usage-count-since-2013 = {21}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::title,review::scoping} } @article{WOS:000756572100001, @@ -42470,7 +43801,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000756572100001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {6}, - web-of-science-categories = {Political Science} + web-of-science-categories = {Political Science}, + keywords = {out::abstract,type::collective\_action} } @article{WOS:000757309700001, @@ -42493,7 +43825,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000757309700001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {13}, - web-of-science-categories = {Green \& Sustainable Science \& Technology; Environmental Sciences; Environmental Studies} + web-of-science-categories = {Green \& Sustainable Science \& Technology; Environmental Sciences; Environmental Studies}, + keywords = {out::title} } @article{WOS:000759614400001, @@ -42518,7 +43851,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000759614400001}, usage-count-last-180-days = {6}, usage-count-since-2013 = {12}, - web-of-science-categories = {Economics; Industrial Relations \& Labor; Sociology} + web-of-science-categories = {Economics; Industrial Relations \& Labor; Sociology}, + keywords = {out::title} } @article{WOS:000761451100001, @@ -42542,7 +43876,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000761451100001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {3}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::abstract} } @article{WOS:000763369500001, @@ -42567,7 +43902,11 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000763369500001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {3}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::channels,country::India,inequality::education,inequality::gender,out::abstract,region::AP}, + note = {looks at employment, LM adjacent outcomes and intersectional inequalities (gender, age, education); +\par +does NOT look at specific policy intervention} } @article{WOS:000763499700001, @@ -42592,12 +43931,13 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000763499700001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {9}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {relevant,TODO::abstract} } @article{WOS:000763793600001, type = {Article}, - title = {Community-Engaged Use of Low-Cost Sensors to Assess the Spatial Distribution of {{PM}}{\textexclamdown}sub{\textquestiondown}2.5{\textexclamdown}/Sub{\textquestiondown} Concentrations across Disadvantaged Communities: {{Results}} from a Pilot Study in Santa Ana, {{CA}}}, + title = {Community-Engaged Use of Low-Cost Sensors to Assess the Spatial Distribution of {{PM2}}.5 Concentrations across Disadvantaged Communities: {{Results}} from a Pilot Study in Santa Ana, {{CA}}}, author = {Masri, Shahir and Cox, Kathryn and Flores, Leonel and Rea, Jose and Wu, Jun}, year = {2022}, month = feb, @@ -42615,7 +43955,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000763793600001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {9}, - web-of-science-categories = {Environmental Sciences; Meteorology \& Atmospheric Sciences} + web-of-science-categories = {Environmental Sciences; Meteorology \& Atmospheric Sciences}, + keywords = {inequality::poverty,inequality::spatial,TODO::abstract} } @article{WOS:000764680800001, @@ -42640,7 +43981,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000764680800001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {16}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {cite::channels,inequality::gender,inequality::racial,out::abstract} } @article{WOS:000765114300001, @@ -42665,7 +44007,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000765114300001}, usage-count-last-180-days = {5}, usage-count-since-2013 = {12}, - web-of-science-categories = {Psychology, Developmental} + web-of-science-categories = {Psychology, Developmental}, + keywords = {inequality::disability,inequality::generational,inequality::racial,TODO::abstract} } @article{WOS:000765235300008, @@ -42688,7 +44031,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000765235300008}, usage-count-last-180-days = {1}, usage-count-since-2013 = {12}, - web-of-science-categories = {Education \& Educational Research} + web-of-science-categories = {Education \& Educational Research}, + keywords = {cite::channels,inequality::education,inequality::gender,inequality::spatial,out::abstract} } @article{WOS:000766424800001, @@ -42713,7 +44057,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000766424800001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {5}, - web-of-science-categories = {Health Care Sciences \& Services; Medicine, General \& Internal} + web-of-science-categories = {Health Care Sciences \& Services; Medicine, General \& Internal}, + keywords = {inequality::racial,TODO::abstract} } @article{WOS:000767176700003, @@ -42736,7 +44081,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000767176700003}, usage-count-last-180-days = {19}, usage-count-since-2013 = {64}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::channels,country::China,inequality::spatial,out::abstract,region::AP} } @article{WOS:000767997600001, @@ -42760,7 +44106,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000767997600001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {8}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {TODO::QUESTION} } @article{WOS:000769995400001, @@ -42785,7 +44132,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000769995400001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {2}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::channels,country::Ghana,inequality::gender,out::abstract,region::SSA} } @article{WOS:000770389000011, @@ -42808,7 +44156,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000770389000011}, usage-count-last-180-days = {8}, usage-count-since-2013 = {16}, - web-of-science-categories = {Social Sciences, Interdisciplinary} + web-of-science-categories = {Social Sciences, Interdisciplinary}, + keywords = {out::review,review::systematic,TODO::review} } @article{WOS:000771542600001, @@ -42831,7 +44180,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000771542600001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {3}, - web-of-science-categories = {Obstetrics \& Gynecology; Pediatrics} + web-of-science-categories = {Obstetrics \& Gynecology; Pediatrics}, + keywords = {country::US,out::title,region::NA} } @article{WOS:000771778000001, @@ -42856,7 +44206,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000771778000001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {13}, - web-of-science-categories = {Demography; Sociology} + web-of-science-categories = {Demography; Sociology}, + keywords = {out::title} } @article{WOS:000772020900001, @@ -42881,7 +44232,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000772020900001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {7}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {country::Morocco,inequality::poverty,region::MENA,TODO::full-text,type::cooperative\_entrepreneurship} } @article{WOS:000772433800001, @@ -42906,7 +44258,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000772433800001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {10}, - web-of-science-categories = {Management} + web-of-science-categories = {Management}, + keywords = {country::India,region::AP,TODO::abstract} } @article{WOS:000774139600001, @@ -42931,7 +44284,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000774139600001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {3}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {inequality::income,relevant,TODO::abstract,type::collective\_action} } @article{WOS:000774285600007, @@ -42954,7 +44308,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000774285600007}, usage-count-last-180-days = {1}, usage-count-since-2013 = {1}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::title} } @article{WOS:000775120600011, @@ -42977,7 +44332,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000775120600011}, usage-count-last-180-days = {1}, usage-count-since-2013 = {11}, - web-of-science-categories = {Medicine, General \& Internal} + web-of-science-categories = {Medicine, General \& Internal}, + keywords = {method::qualitative,TODO::abstract} } @article{WOS:000777489900005, @@ -43001,7 +44357,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000777489900005}, usage-count-last-180-days = {1}, usage-count-since-2013 = {3}, - web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services; Medicine, Legal; Social Issues; Social Sciences, Biomedical} + web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services; Medicine, Legal; Social Issues; Social Sciences, Biomedical}, + keywords = {country::US,inequality::gender,inequality::generational,inequality::racial,region::NA,relevant,TODO::abstract} } @article{WOS:000778983400018, @@ -43024,7 +44381,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000778983400018}, usage-count-last-180-days = {0}, usage-count-since-2013 = {8}, - web-of-science-categories = {Medicine, General \& Internal} + web-of-science-categories = {Medicine, General \& Internal}, + keywords = {country::Canada,method::qualitative,method::quantitative,out::abstract,region::NA} } @incollection{WOS:000779931500013, @@ -43045,7 +44403,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000779931500013}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Area Studies; Development Studies; Economics} + web-of-science-categories = {Area Studies; Development Studies; Economics}, + keywords = {inequality::gender,out::abstract} } @article{WOS:000780472600008, @@ -43068,7 +44427,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000780472600008}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Pediatrics} + web-of-science-categories = {Pediatrics}, + keywords = {out::abstract} } @article{WOS:000782150900001, @@ -43093,7 +44453,11 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000782150900001}, usage-count-last-180-days = {5}, usage-count-since-2013 = {10}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {inequality::income,TODO::QUESTION}, + note = {looks at comparative advantage and cross-country income inequality; +\par +looks at offshoring / institutional quality = policy interventions?} } @article{WOS:000782363700007, @@ -43116,7 +44480,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000782363700007}, usage-count-last-180-days = {3}, usage-count-since-2013 = {4}, - web-of-science-categories = {Architecture} + web-of-science-categories = {Architecture}, + keywords = {inequality::gender,method::qualitative,TODO::QUESTION} } @article{WOS:000782489800001, @@ -43141,7 +44506,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000782489800001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {9}, - web-of-science-categories = {Family Studies; Social Work} + web-of-science-categories = {Family Studies; Social Work}, + keywords = {inequality::gender,out::title} } @article{WOS:000782951100002, @@ -43163,7 +44529,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000782951100002}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Social Work} + web-of-science-categories = {Social Work}, + keywords = {TODO::abstract,type::taxation} } @article{WOS:000783872300001, @@ -43188,7 +44555,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000783872300001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {5}, - web-of-science-categories = {Criminology \& Penology; Law; Social Sciences, Interdisciplinary} + web-of-science-categories = {Criminology \& Penology; Law; Social Sciences, Interdisciplinary}, + keywords = {out::title} } @article{WOS:000784112800001, @@ -43209,7 +44577,11 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000784112800001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {2}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {country::US,inequality::racial,out::abstract,region::NA}, + note = {looks at racial inequality; +\par +does not look at LM adjacency} } @article{WOS:000784548000001, @@ -43234,7 +44606,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000784548000001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {4}, - web-of-science-categories = {Nursing} + web-of-science-categories = {Nursing}, + keywords = {out::title} } @article{WOS:000784730600001, @@ -43259,7 +44632,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000784730600001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {6}, - web-of-science-categories = {Economics; Political Science; Sociology} + web-of-science-categories = {Economics; Political Science; Sociology}, + keywords = {out::title} } @article{WOS:000784839100001, @@ -43284,7 +44658,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000784839100001}, usage-count-last-180-days = {5}, usage-count-since-2013 = {10}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {out::title} } @article{WOS:000785264100001, @@ -43307,7 +44682,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000785264100001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {4}, - web-of-science-categories = {Education \& Educational Research} + web-of-science-categories = {Education \& Educational Research}, + keywords = {inequality::education,out::abstract} } @article{WOS:000785799500001, @@ -43332,7 +44708,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000785799500001}, usage-count-last-180-days = {4}, usage-count-since-2013 = {18}, - web-of-science-categories = {Economics; Political Science; Sociology} + web-of-science-categories = {Economics; Political Science; Sociology}, + keywords = {out::abstract} } @article{WOS:000786548800001, @@ -43355,7 +44732,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000786548800001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {7}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {country::Pakistan,inequality::gender,inequality::income,region::AP,TODO::full-text} } @article{WOS:000787114400001, @@ -43380,7 +44758,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000787114400001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {10}, - web-of-science-categories = {Economics; Family Studies} + web-of-science-categories = {Economics; Family Studies}, + keywords = {out::title} } @article{WOS:000788607400001, @@ -43405,7 +44784,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000788607400001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {10}, - web-of-science-categories = {Management; Women's Studies} + web-of-science-categories = {Management; Women's Studies}, + keywords = {country::Britain,inequality::gender,region::EU,relevant,TODO::full-text} } @article{WOS:000789396500019, @@ -43429,7 +44809,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000789396500019}, usage-count-last-180-days = {9}, usage-count-since-2013 = {25}, - web-of-science-categories = {Green \& Sustainable Science \& Technology; Environmental Studies} + web-of-science-categories = {Green \& Sustainable Science \& Technology; Environmental Studies}, + keywords = {cite::further\_reading,country::China,inequality::income,out::abstract,region::AP} } @article{WOS:000789407100001, @@ -43451,7 +44832,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000789407100001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {4}, - web-of-science-categories = {Management; Social Sciences, Interdisciplinary} + web-of-science-categories = {Management; Social Sciences, Interdisciplinary}, + keywords = {inequality::migration,method::qualitative,out::abstract} } @article{WOS:000789630900011, @@ -43474,7 +44856,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000789630900011}, usage-count-last-180-days = {3}, usage-count-since-2013 = {12}, - web-of-science-categories = {Public, Environmental \& Occupational Health; Social Sciences, Biomedical} + web-of-science-categories = {Public, Environmental \& Occupational Health; Social Sciences, Biomedical}, + keywords = {inequality::gender,review::?,TODO::full-text} } @article{WOS:000789745400029, @@ -43498,7 +44881,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000789745400029}, usage-count-last-180-days = {3}, usage-count-since-2013 = {7}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {out::abstract} } @article{WOS:000789819200002, @@ -43521,7 +44905,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000789819200002}, usage-count-last-180-days = {1}, usage-count-since-2013 = {2}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {inequality::disability,relevant,TODO::full-text} } @article{WOS:000789880800001, @@ -43546,7 +44931,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000789880800001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {country::Australia,inequality::income,inequality::migration,region::AP,relevant,TODO::full-text} } @article{WOS:000792482000005, @@ -43570,7 +44956,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000792482000005}, usage-count-last-180-days = {3}, usage-count-since-2013 = {9}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {country::Russia,inequality::income,region::AP,TODO::abstract,type::taxation} } @article{WOS:000793416200003, @@ -43594,7 +44981,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000793416200003}, usage-count-last-180-days = {7}, usage-count-since-2013 = {12}, - web-of-science-categories = {Geography} + web-of-science-categories = {Geography}, + keywords = {cite::channels,country::Canada,method::qualitative,method::quantitative,out::abstract,region::NA} } @incollection{WOS:000797521800001, @@ -43616,7 +45004,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000797521800001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {1}, - web-of-science-categories = {Development Studies; Regional \& Urban Planning; Public Administration} + web-of-science-categories = {Development Studies; Regional \& Urban Planning; Public Administration}, + keywords = {cite::further\_reading,inequality::income,out::abstract} } @article{WOS:000797522900001, @@ -43641,7 +45030,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000797522900001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {3}, - web-of-science-categories = {Political Science} + web-of-science-categories = {Political Science}, + keywords = {out::title} } @article{WOS:000797692600001, @@ -43666,7 +45056,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000797692600001}, usage-count-last-180-days = {4}, usage-count-since-2013 = {6}, - web-of-science-categories = {Public Administration; Social Issues} + web-of-science-categories = {Public Administration; Social Issues}, + keywords = {method::qualitative,region::AP,relevant,TODO::abstract} } @article{WOS:000798308500001, @@ -43691,7 +45082,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000798308500001}, usage-count-last-180-days = {5}, usage-count-since-2013 = {22}, - web-of-science-categories = {Industrial Relations \& Labor; Management} + web-of-science-categories = {Industrial Relations \& Labor; Management}, + keywords = {country::Spain,inequality::gender,method::qualitative,method::quantitative,region::EU,TODO::abstract} } @article{WOS:000798364100009, @@ -43716,7 +45108,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000798364100009}, usage-count-last-180-days = {3}, usage-count-since-2013 = {5}, - web-of-science-categories = {Medicine, General \& Internal} + web-of-science-categories = {Medicine, General \& Internal}, + keywords = {out::title} } @article{WOS:000798433900001, @@ -43741,7 +45134,9 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000798433900001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {19}, - web-of-science-categories = {Pediatrics} + web-of-science-categories = {Pediatrics}, + keywords = {inequality::disability,out::abstract}, + note = {inequality outcomes of policy intervention but NOT LM adjacent, not evidence-based impact study} } @article{WOS:000798611900001, @@ -43788,7 +45183,9 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000800293400001}, usage-count-last-180-days = {7}, usage-count-since-2013 = {18}, - web-of-science-categories = {Industrial Relations \& Labor; Management} + web-of-science-categories = {Industrial Relations \& Labor; Management}, + keywords = {country::Russia,out::abstract,region::AP}, + note = {does not look at individual policy intervention} } @article{WOS:000802089200008, @@ -43812,7 +45209,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000802089200008}, usage-count-last-180-days = {1}, usage-count-since-2013 = {9}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::further\_reading,out::abstract} } @article{WOS:000802228500010, @@ -43835,7 +45233,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000802228500010}, usage-count-last-180-days = {6}, usage-count-since-2013 = {8}, - web-of-science-categories = {Rehabilitation} + web-of-science-categories = {Rehabilitation}, + keywords = {inequality::disability,relevant,TODO::abstract} } @article{WOS:000802321400001, @@ -43860,7 +45259,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000802321400001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {3}, - web-of-science-categories = {Economics; Industrial Relations \& Labor} + web-of-science-categories = {Economics; Industrial Relations \& Labor}, + keywords = {out::title} } @article{WOS:000805523100001, @@ -43885,7 +45285,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000805523100001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {12}, - web-of-science-categories = {Psychology, Developmental} + web-of-science-categories = {Psychology, Developmental}, + keywords = {method::qualitative,out::review,region::SSA,review::systematic} } @article{WOS:000807819000001, @@ -43908,7 +45309,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000807819000001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {4}, - web-of-science-categories = {Criminology \& Penology} + web-of-science-categories = {Criminology \& Penology}, + keywords = {out::title} } @article{WOS:000807831900001, @@ -43933,7 +45335,11 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000807831900001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {11}, - web-of-science-categories = {Demography; Sociology} + web-of-science-categories = {Demography; Sociology}, + keywords = {cite::channels,inequality::gender,out::abstract}, + note = {looks at gender inequality of property ownership and how it reflects on the workplace; +\par +does not look at specific policy intervention} } @article{WOS:000808698500001, @@ -43956,7 +45362,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000808698500001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {2}, - web-of-science-categories = {Green \& Sustainable Science \& Technology; Environmental Sciences; Environmental Studies} + web-of-science-categories = {Green \& Sustainable Science \& Technology; Environmental Sciences; Environmental Studies}, + keywords = {cite::channels,country::Ireland,inequality::gender,inequality::spatial,out::abstract,region::EU} } @article{WOS:000809841400002, @@ -43980,7 +45387,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000809841400002}, usage-count-last-180-days = {18}, usage-count-since-2013 = {35}, - web-of-science-categories = {Nursing; Psychiatry} + web-of-science-categories = {Nursing; Psychiatry}, + keywords = {out::title,review::systematic} } @article{WOS:000810036900013, @@ -44003,7 +45411,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000810036900013}, usage-count-last-180-days = {1}, usage-count-since-2013 = {5}, - web-of-science-categories = {Medicine, General \& Internal} + web-of-science-categories = {Medicine, General \& Internal}, + keywords = {method::qualitative,out::title} } @article{WOS:000810669600001, @@ -44026,7 +45435,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000810669600001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Obstetrics \& Gynecology} + web-of-science-categories = {Obstetrics \& Gynecology}, + keywords = {out::title} } @article{WOS:000811084800001, @@ -44049,7 +45459,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000811084800001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {24}, - web-of-science-categories = {Psychology, Multidisciplinary} + web-of-science-categories = {Psychology, Multidisciplinary}, + keywords = {country::China,inequality::income,region::AP,relevant,TODO::abstract} } @article{WOS:000811308800012, @@ -44073,7 +45484,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000811308800012}, usage-count-last-180-days = {6}, usage-count-since-2013 = {20}, - web-of-science-categories = {Multidisciplinary Sciences} + web-of-science-categories = {Multidisciplinary Sciences}, + keywords = {cite::channels,inequality::education,inequality::gender,out::abstract} } @article{WOS:000811433400001, @@ -44096,7 +45508,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000811433400001}, usage-count-last-180-days = {6}, usage-count-since-2013 = {20}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {country::Spain,out::review,region::EU,review::systematic} } @article{WOS:000812717600002, @@ -44121,7 +45534,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000812717600002}, usage-count-last-180-days = {2}, usage-count-since-2013 = {10}, - web-of-science-categories = {Medicine, General \& Internal} + web-of-science-categories = {Medicine, General \& Internal}, + keywords = {out::abstract} } @article{WOS:000813472900001, @@ -44144,7 +45558,9 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000813472900001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {16}, - web-of-science-categories = {Psychiatry} + web-of-science-categories = {Psychiatry}, + keywords = {cite::further\_reading,out::abstract}, + note = {COVID-19 focused call to action for contemperaneous global and local implementation of} } @article{WOS:000814655600001, @@ -44165,7 +45581,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000814655600001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Rehabilitation; Social Sciences, Interdisciplinary} + web-of-science-categories = {Rehabilitation; Social Sciences, Interdisciplinary}, + keywords = {country::Ethiopia,country::Jordan,region::MENA,region::SSA,relevant,TODO::abstract} } @article{WOS:000815531400001, @@ -44190,7 +45607,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000815531400001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {8}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::title,review::systematic} } @article{WOS:000815800800001, @@ -44215,7 +45633,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000815800800001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {6}, - web-of-science-categories = {Social Sciences, Interdisciplinary} + web-of-science-categories = {Social Sciences, Interdisciplinary}, + keywords = {cite::channels,out::title} } @article{WOS:000816371100001, @@ -44238,7 +45657,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000816371100001}, usage-count-last-180-days = {6}, usage-count-since-2013 = {20}, - web-of-science-categories = {Psychology, Multidisciplinary} + web-of-science-categories = {Psychology, Multidisciplinary}, + keywords = {cite::channels,inequality::gender,out::abstract} } @article{WOS:000817592800001, @@ -44261,7 +45681,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000817592800001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {7}, - web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services} + web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services}, + keywords = {out::title} } @article{WOS:000819837200007, @@ -44284,7 +45705,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000819837200007}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Political Science} + web-of-science-categories = {Political Science}, + keywords = {country::Slovakia,inequality::gender,out::abstract,region::EU} } @article{WOS:000820117400006, @@ -44308,7 +45730,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000820117400006}, usage-count-last-180-days = {0}, usage-count-since-2013 = {3}, - web-of-science-categories = {Substance Abuse; Psychiatry} + web-of-science-categories = {Substance Abuse; Psychiatry}, + keywords = {out::title} } @article{WOS:000821338300016, @@ -44332,7 +45755,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000821338300016}, usage-count-last-180-days = {4}, usage-count-since-2013 = {14}, - web-of-science-categories = {Development Studies; Economics} + web-of-science-categories = {Development Studies; Economics}, + keywords = {cite::channels,country::Chile,inequality::income,inequality::spatial,out::abstract,region::LAC} } @article{WOS:000821733500001, @@ -44357,7 +45781,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000821733500001}, usage-count-last-180-days = {25}, usage-count-since-2013 = {63}, - web-of-science-categories = {Business; Psychology, Applied; Management} + web-of-science-categories = {Business; Psychology, Applied; Management}, + keywords = {review::narrative,TODO::review} } @article{WOS:000822284100001, @@ -44378,7 +45803,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000822284100001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {2}, - web-of-science-categories = {Criminology \& Penology} + web-of-science-categories = {Criminology \& Penology}, + keywords = {cite::channels,inequality::racial,out::abstract} } @article{WOS:000822339700001, @@ -44401,7 +45827,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000822339700001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {4}, - web-of-science-categories = {Health Policy \& Services; Industrial Relations \& Labor} + web-of-science-categories = {Health Policy \& Services; Industrial Relations \& Labor}, + keywords = {country::Britain,inequality::racial,out::abstract,region::EU} } @article{WOS:000822795000007, @@ -44424,7 +45851,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000822795000007}, usage-count-last-180-days = {1}, usage-count-since-2013 = {4}, - web-of-science-categories = {Medicine, General \& Internal} + web-of-science-categories = {Medicine, General \& Internal}, + keywords = {out::title} } @article{WOS:000822992600006, @@ -44447,7 +45875,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000822992600006}, usage-count-last-180-days = {2}, usage-count-since-2013 = {3}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {country::Nepal,inequality::gender,region::AP,relevant,TODO::abstract} } @article{WOS:000823296900010, @@ -44470,7 +45899,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000823296900010}, usage-count-last-180-days = {10}, usage-count-since-2013 = {30}, - web-of-science-categories = {International Relations} + web-of-science-categories = {International Relations}, + keywords = {out::title} } @article{WOS:000823621100021, @@ -44493,7 +45923,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000823621100021}, usage-count-last-180-days = {0}, usage-count-since-2013 = {5}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::framework,country::Ukraine,out::title,region::EU} } @article{WOS:000823834700001, @@ -44514,7 +45945,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000823834700001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {7}, - web-of-science-categories = {Social Sciences, Interdisciplinary} + web-of-science-categories = {Social Sciences, Interdisciplinary}, + keywords = {country::Finland,inequality::gender,method::qualitative,out::abstract,region::EU} } @article{WOS:000829011300001, @@ -44537,7 +45969,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000829011300001}, usage-count-last-180-days = {33}, usage-count-since-2013 = {51}, - web-of-science-categories = {Psychology, Multidisciplinary} + web-of-science-categories = {Psychology, Multidisciplinary}, + keywords = {country::China,out::abstract,region::AP} } @article{WOS:000829231400002, @@ -44561,7 +45994,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000829231400002}, usage-count-last-180-days = {4}, usage-count-since-2013 = {12}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {inequality::income,TODO::abstract,type::taxation} } @article{WOS:000829903600001, @@ -44586,7 +46020,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000829903600001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {7}, - web-of-science-categories = {Economics; Women's Studies} + web-of-science-categories = {Economics; Women's Studies}, + keywords = {out::abstract} } @article{WOS:000830735300001, @@ -44611,7 +46046,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000830735300001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Development Studies} + web-of-science-categories = {Development Studies}, + keywords = {country::Malawi,method::qualitative,region::SSA,relevant,TODO::abstract} } @article{WOS:000831740800001, @@ -44634,7 +46070,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000831740800001}, usage-count-last-180-days = {4}, usage-count-since-2013 = {7}, - web-of-science-categories = {Social Sciences, Interdisciplinary} + web-of-science-categories = {Social Sciences, Interdisciplinary}, + keywords = {country::Ireland,inequality::gender,inequality::income,region::EU,relevant,TODO::full-text} } @article{WOS:000832544500001, @@ -44659,7 +46096,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000832544500001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Gastroenterology \& Hepatology; Surgery; Transplantation} + web-of-science-categories = {Gastroenterology \& Hepatology; Surgery; Transplantation}, + keywords = {out::title} } @article{WOS:000834837000001, @@ -44682,7 +46120,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000834837000001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {6}, - web-of-science-categories = {Social Sciences, Interdisciplinary} + web-of-science-categories = {Social Sciences, Interdisciplinary}, + keywords = {cite::channels,inequality::age,method::qualitative,out::abstract} } @article{WOS:000835603100007, @@ -44705,7 +46144,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000835603100007}, usage-count-last-180-days = {1}, usage-count-since-2013 = {2}, - web-of-science-categories = {Law} + web-of-science-categories = {Law}, + keywords = {inequality::gender,inequality::lgbt,method::qualitative,out::abstract} } @article{WOS:000835935600001, @@ -44730,7 +46170,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000835935600001}, usage-count-last-180-days = {4}, usage-count-since-2013 = {10}, - web-of-science-categories = {Social Work; Women's Studies} + web-of-science-categories = {Social Work; Women's Studies}, + keywords = {out::title} } @article{WOS:000836259300007, @@ -44754,7 +46195,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000836259300007}, usage-count-last-180-days = {3}, usage-count-since-2013 = {6}, - web-of-science-categories = {Rehabilitation} + web-of-science-categories = {Rehabilitation}, + keywords = {inequality::disability,out::abstract} } @article{WOS:000836454300009, @@ -44778,7 +46220,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000836454300009}, usage-count-last-180-days = {12}, usage-count-since-2013 = {41}, - web-of-science-categories = {Environmental Sciences; Public, Environmental \& Occupational Health} + web-of-science-categories = {Environmental Sciences; Public, Environmental \& Occupational Health}, + keywords = {out::review,review::systematic} } @article{WOS:000837259100001, @@ -44803,7 +46246,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000837259100001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {1}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::title} } @article{WOS:000840152400001, @@ -44826,7 +46270,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000840152400001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {5}, - web-of-science-categories = {Environmental Sciences; Public, Environmental \& Occupational Health} + web-of-science-categories = {Environmental Sciences; Public, Environmental \& Occupational Health}, + keywords = {inequality::disability,out::abstract,review::scoping,TODO::review} } @article{WOS:000841036200001, @@ -44849,7 +46294,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000841036200001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {inequality::health,inequality::migration,method::qualitative,method::quantitative,out::abstract} } @article{WOS:000841955400011, @@ -44873,7 +46319,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000841955400011}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Family Studies; Public, Environmental \& Occupational Health} + web-of-science-categories = {Family Studies; Public, Environmental \& Occupational Health}, + keywords = {inequality::disability,method::qualitative,out::abstract} } @article{WOS:000843545300001, @@ -44898,7 +46345,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000843545300001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {13}, - web-of-science-categories = {Development Studies} + web-of-science-categories = {Development Studies}, + keywords = {cite::framework,out::title} } @incollection{WOS:000844038200004, @@ -44920,7 +46368,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000844038200004}, usage-count-last-180-days = {2}, usage-count-since-2013 = {5}, - web-of-science-categories = {Business; Business, Finance} + web-of-science-categories = {Business; Business, Finance}, + keywords = {out::abstract} } @article{WOS:000844367700002, @@ -44944,7 +46393,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000844367700002}, usage-count-last-180-days = {3}, usage-count-since-2013 = {6}, - web-of-science-categories = {Health Care Sciences \& Services} + web-of-science-categories = {Health Care Sciences \& Services}, + keywords = {cite::channels,inequality::disability,out::title} } @article{WOS:000844780400002, @@ -44968,7 +46418,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000844780400002}, usage-count-last-180-days = {1}, usage-count-since-2013 = {4}, - web-of-science-categories = {Health Policy \& Services; Nursing} + web-of-science-categories = {Health Policy \& Services; Nursing}, + keywords = {out::title} } @article{WOS:000845207300001, @@ -44991,7 +46442,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000845207300001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {5}, - web-of-science-categories = {Social Sciences, Interdisciplinary} + web-of-science-categories = {Social Sciences, Interdisciplinary}, + keywords = {country::Australia,out::title} } @article{WOS:000845247400001, @@ -45014,7 +46466,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000845247400001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {6}, - web-of-science-categories = {Social Sciences, Interdisciplinary} + web-of-science-categories = {Social Sciences, Interdisciplinary}, + keywords = {inequality::disability,method::qualitative,out::abstract,region::MENA} } @article{WOS:000846915500001, @@ -45035,7 +46488,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000846915500001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {4}, - web-of-science-categories = {Business} + web-of-science-categories = {Business}, + keywords = {inequality::gender,TODO::abstract,type::csr} } @article{WOS:000848854500004, @@ -45059,7 +46513,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000848854500004}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Education \& Educational Research; Public, Environmental \& Occupational Health} + web-of-science-categories = {Education \& Educational Research; Public, Environmental \& Occupational Health}, + keywords = {out::title} } @article{WOS:000849076200001, @@ -45084,12 +46539,13 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000849076200001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {6}, - web-of-science-categories = {Social Issues; Psychology, Social} + web-of-science-categories = {Social Issues; Psychology, Social}, + keywords = {out::title} } @article{WOS:000849111400001, type = {Article; Early Access}, - title = {{\textexclamdown}i{\textquestiondown}{{Water}} with Larvae{\textexclamdown}/I{\textquestiondown}: {{Hydrological}} Fertility, Inequality, and Mosquito Urbanism}, + title = {Water with Larvae: {{Hydrological}} Fertility, Inequality, and Mosquito Urbanism}, author = {{Acevedo-Guerrero}, Tatiana}, year = {2022 MAY 17 2022}, journal = {ENVIRONMENT AND PLANNING E-NATURE AND SPACE}, @@ -45105,7 +46561,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000849111400001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {5}, - web-of-science-categories = {Environmental Studies; Geography} + web-of-science-categories = {Environmental Studies; Geography}, + keywords = {cite::further\_reading,country::Colombia,inequality::health,inequality::poverty,method::qualitative,out::abstract,region::LAC} } @article{WOS:000851375100001, @@ -45129,7 +46586,9 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000851375100001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {2}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {country::US,inequality::migration,region::NA,TODO::full-text,type::universal\_licensing}, + note = {need to find out: Does it actually look at specific inequalities? Or does it just generally look at migration outcomes} } @article{WOS:000854679900001, @@ -45154,7 +46613,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000854679900001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {8}, - web-of-science-categories = {Oncology; Social Sciences, Biomedical} + web-of-science-categories = {Oncology; Social Sciences, Biomedical}, + keywords = {inequality::racial,TODO::abstract} } @article{WOS:000854924000001, @@ -45178,7 +46638,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000854924000001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {1}, - web-of-science-categories = {Economics; Energy \& Fuels; Environmental Sciences; Environmental Studies} + web-of-science-categories = {Economics; Energy \& Fuels; Environmental Sciences; Environmental Studies}, + keywords = {country::Rwanda,inequality::gender,inequality::income,region::SSA,relevant,TODO::abstract,type::electrification} } @article{WOS:000855148600001, @@ -45202,7 +46663,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000855148600001}, usage-count-last-180-days = {5}, usage-count-since-2013 = {16}, - web-of-science-categories = {Management} + web-of-science-categories = {Management}, + keywords = {TODO::abstract} } @article{WOS:000855917500001, @@ -45223,7 +46685,11 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000855917500001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {4}, - web-of-science-categories = {Management} + web-of-science-categories = {Management}, + keywords = {inequality::gender,out::abstract}, + note = {looks at gendered inequalities in LM adjacency; +\par +does not look at specific intervention} } @article{WOS:000857197000001, @@ -45244,7 +46710,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000857197000001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Rehabilitation} + web-of-science-categories = {Rehabilitation}, + keywords = {out::abstract} } @article{WOS:000857220200005, @@ -45268,7 +46735,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000857220200005}, usage-count-last-180-days = {4}, usage-count-since-2013 = {7}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {out::abstract} } @article{WOS:000858984700001, @@ -45293,7 +46761,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000858984700001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {11}, - web-of-science-categories = {Area Studies} + web-of-science-categories = {Area Studies}, + keywords = {country::China,inequality::age,region::AP,TODO::full-text,type::marketization} } @article{WOS:000859799400001, @@ -45318,7 +46787,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000859799400001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Education \& Educational Research} + web-of-science-categories = {Education \& Educational Research}, + keywords = {out::abstract} } @article{WOS:000859923100013, @@ -45342,7 +46812,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000859923100013}, usage-count-last-180-days = {12}, usage-count-since-2013 = {28}, - web-of-science-categories = {Dentistry, Oral Surgery \& Medicine} + web-of-science-categories = {Dentistry, Oral Surgery \& Medicine}, + keywords = {TODO::abstract} } @article{WOS:000860323700004, @@ -45365,7 +46836,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000860323700004}, usage-count-last-180-days = {1}, usage-count-since-2013 = {4}, - web-of-science-categories = {Social Issues; Social Sciences, Interdisciplinary} + web-of-science-categories = {Social Issues; Social Sciences, Interdisciplinary}, + keywords = {out::title} } @article{WOS:000860603700003, @@ -45389,7 +46861,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000860603700003}, usage-count-last-180-days = {6}, usage-count-since-2013 = {32}, - web-of-science-categories = {Public, Environmental \& Occupational Health; Social Sciences, Biomedical} + web-of-science-categories = {Public, Environmental \& Occupational Health; Social Sciences, Biomedical}, + keywords = {country::China,out::abstract,region::AP} } @article{WOS:000861350800002, @@ -45412,7 +46885,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000861350800002}, usage-count-last-180-days = {7}, usage-count-since-2013 = {17}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {out::abstract} } @article{WOS:000861407400002, @@ -45435,7 +46909,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000861407400002}, usage-count-last-180-days = {1}, usage-count-since-2013 = {2}, - web-of-science-categories = {Endocrinology \& Metabolism} + web-of-science-categories = {Endocrinology \& Metabolism}, + keywords = {out::title} } @article{WOS:000862832400006, @@ -45460,7 +46935,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000862832400006}, usage-count-last-180-days = {2}, usage-count-since-2013 = {4}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {out::abstract} } @article{WOS:000863854000003, @@ -45484,7 +46960,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000863854000003}, usage-count-last-180-days = {1}, usage-count-since-2013 = {7}, - web-of-science-categories = {Family Studies; Psychology, Social; Social Work} + web-of-science-categories = {Family Studies; Psychology, Social; Social Work}, + keywords = {cite::channels,inequality::age,inequality::lgbt,out::title} } @article{WOS:000865657700002, @@ -45507,7 +46984,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000865657700002}, usage-count-last-180-days = {9}, usage-count-since-2013 = {11}, - web-of-science-categories = {Family Studies} + web-of-science-categories = {Family Studies}, + keywords = {country::Austria,region::EU,relevant,TODO::abstract,type::collective\_action} } @article{WOS:000868949400031, @@ -45530,7 +47008,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000868949400031}, usage-count-last-180-days = {0}, usage-count-since-2013 = {1}, - web-of-science-categories = {Multidisciplinary Sciences} + web-of-science-categories = {Multidisciplinary Sciences}, + keywords = {out::title} } @article{WOS:000869695100021, @@ -45553,7 +47032,9 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000869695100021}, usage-count-last-180-days = {1}, usage-count-since-2013 = {4}, - web-of-science-categories = {Business, Finance} + web-of-science-categories = {Business, Finance}, + keywords = {country::Ukraine,inequality::gender,region::EU,TODO::QUESTION}, + note = {looks at legal foundations but is it specific policy intervention?} } @article{WOS:000870123700001, @@ -45578,7 +47059,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000870123700001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {5}, - web-of-science-categories = {Education \& Educational Research} + web-of-science-categories = {Education \& Educational Research}, + keywords = {out::title} } @article{WOS:000870494800010, @@ -45602,7 +47084,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000870494800010}, usage-count-last-180-days = {2}, usage-count-since-2013 = {6}, - web-of-science-categories = {Economics; Transportation} + web-of-science-categories = {Economics; Transportation}, + keywords = {relevant,TODO::abstract,type::infrastructure} } @article{WOS:000871406300003, @@ -45625,7 +47108,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000871406300003}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {country::Kenya,inequality::gender,region::SSA,relevant,TODO::abstract} } @article{WOS:000873884600001, @@ -45648,7 +47132,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000873884600001}, usage-count-last-180-days = {7}, usage-count-since-2013 = {17}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::title,review::meta} } @article{WOS:000874419500001, @@ -45673,7 +47158,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000874419500001}, usage-count-last-180-days = {5}, usage-count-since-2013 = {8}, - web-of-science-categories = {Demography} + web-of-science-categories = {Demography}, + keywords = {inequality::generational,inequality::migration,relevant,TODO::abstract} } @article{WOS:000874829700006, @@ -45696,7 +47182,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000874829700006}, usage-count-last-180-days = {1}, usage-count-since-2013 = {1}, - web-of-science-categories = {Political Science} + web-of-science-categories = {Political Science}, + keywords = {out::abstract} } @article{WOS:000874929200007, @@ -45719,7 +47206,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000874929200007}, usage-count-last-180-days = {0}, usage-count-since-2013 = {1}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {TODO::abstract} } @article{WOS:000879762800001, @@ -45742,7 +47230,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000879762800001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {8}, - web-of-science-categories = {Health Policy \& Services; Industrial Relations \& Labor} + web-of-science-categories = {Health Policy \& Services; Industrial Relations \& Labor}, + keywords = {country::Canada,inequality::gender,inequality::income,out::abstract,region::NA} } @article{WOS:000881833400001, @@ -45793,7 +47282,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000881881100001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {2}, - web-of-science-categories = {Development Studies; Economics} + web-of-science-categories = {Development Studies; Economics}, + keywords = {cite::channels,inequality::gender,out::abstract} } @article{WOS:000885132200001, @@ -45843,7 +47333,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000886529700004}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Psychology, Clinical} + web-of-science-categories = {Psychology, Clinical}, + keywords = {inequality::poverty,inequality::racial,out::abstract} } @article{WOS:000887793300002, @@ -45866,7 +47357,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000887793300002}, usage-count-last-180-days = {0}, usage-count-since-2013 = {1}, - web-of-science-categories = {Clinical Neurology; Rehabilitation} + web-of-science-categories = {Clinical Neurology; Rehabilitation}, + keywords = {inequality::disability,inequality::racial,out::abstract} } @article{WOS:000887923800001, @@ -45889,7 +47381,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000887923800001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Emergency Medicine; Education, Scientific Disciplines} + web-of-science-categories = {Emergency Medicine; Education, Scientific Disciplines}, + keywords = {out::title} } @article{WOS:000888866900005, @@ -45913,7 +47406,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000888866900005}, usage-count-last-180-days = {7}, usage-count-since-2013 = {10}, - web-of-science-categories = {Health Care Sciences \& Services; Medicine, General \& Internal; Clinical Neurology} + web-of-science-categories = {Health Care Sciences \& Services; Medicine, General \& Internal; Clinical Neurology}, + keywords = {out::title} } @article{WOS:000889255800001, @@ -45938,7 +47432,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000889255800001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {4}, - web-of-science-categories = {Clinical Neurology; Neurosciences; Rehabilitation} + web-of-science-categories = {Clinical Neurology; Neurosciences; Rehabilitation}, + keywords = {out::title} } @article{WOS:000889308400024, @@ -45961,7 +47456,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000889308400024}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Medicine, General \& Internal} + web-of-science-categories = {Medicine, General \& Internal}, + keywords = {out::title} } @article{WOS:000892145000009, @@ -45985,7 +47481,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000892145000009}, usage-count-last-180-days = {2}, usage-count-since-2013 = {3}, - web-of-science-categories = {Demography} + web-of-science-categories = {Demography}, + keywords = {cite::channels,inequality::age,inequality::migration,method::qualitative,method::quantitative,out::abstract} } @article{WOS:000893173500007, @@ -46007,7 +47504,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000893173500007}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {out::title} } @article{WOS:000893451800004, @@ -46031,7 +47529,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000893451800004}, usage-count-last-180-days = {21}, usage-count-since-2013 = {23}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {out::abstract} } @article{WOS:000896694200001, @@ -46052,7 +47551,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000896694200001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {1}, - web-of-science-categories = {Education \& Educational Research} + web-of-science-categories = {Education \& Educational Research}, + keywords = {cite::channels,inequality::socio-demographic,out::title} } @article{WOS:000896856600001, @@ -46077,7 +47577,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000896856600001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {6}, - web-of-science-categories = {Political Science} + web-of-science-categories = {Political Science}, + keywords = {TODO::abstract} } @article{WOS:000897834100001, @@ -46101,7 +47602,11 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000897834100001}, usage-count-last-180-days = {4}, usage-count-since-2013 = {4}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {cite::channels,inequality::gender,inequality::racial,intersectional,out::abstract}, + note = {looks at how economic under-representation fuels inequalities; +\par +does NOT look at specific policy intervention} } @article{WOS:000898738300015, @@ -46125,7 +47630,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000898738300015}, usage-count-last-180-days = {10}, usage-count-since-2013 = {18}, - web-of-science-categories = {Environmental Sciences} + web-of-science-categories = {Environmental Sciences}, + keywords = {TODO::abstract} } @article{WOS:000899678500001, @@ -46150,7 +47656,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000899678500001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {5}, - web-of-science-categories = {Public Administration; Social Issues} + web-of-science-categories = {Public Administration; Social Issues}, + keywords = {country::Germany,inequality::income,region::EU,relevant,TODO::abstract} } @article{WOS:000899940500007, @@ -46174,7 +47681,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000899940500007}, usage-count-last-180-days = {6}, usage-count-since-2013 = {10}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {inequality::poverty,relevant,TODO::abstract,type::taxation} } @article{WOS:000901187300001, @@ -46197,7 +47705,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000901187300001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {3}, - web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services} + web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services}, + keywords = {inequality::gender,inequality::racial,out::abstract} } @article{WOS:000905200600011, @@ -46220,7 +47729,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000905200600011}, usage-count-last-180-days = {1}, usage-count-since-2013 = {1}, - web-of-science-categories = {Obstetrics \& Gynecology} + web-of-science-categories = {Obstetrics \& Gynecology}, + keywords = {method::qualitative,method::quantitative,out::title,review::systematic} } @article{WOS:000906224800001, @@ -46243,7 +47753,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000906224800001}, usage-count-last-180-days = {12}, usage-count-since-2013 = {20}, - web-of-science-categories = {Nursing} + web-of-science-categories = {Nursing}, + keywords = {out::title} } @article{WOS:000906423800014, @@ -46267,7 +47778,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000906423800014}, usage-count-last-180-days = {11}, usage-count-since-2013 = {14}, - web-of-science-categories = {Pediatrics} + web-of-science-categories = {Pediatrics}, + keywords = {out::title} } @article{WOS:000908132200001, @@ -46292,12 +47804,13 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000908132200001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {4}, - web-of-science-categories = {Political Science} + web-of-science-categories = {Political Science}, + keywords = {TODO::abstract} } @article{WOS:000909815200001, type = {Article; Early Access}, - title = {Training {\textexclamdown}i{\textquestiondown}for{\textexclamdown}/I{\textquestiondown} Employment or Skilling up {\textexclamdown}i{\textquestiondown}from{\textexclamdown}/I{\textquestiondown} Employment? {{Jobs}} and Skills Acquisition in the {{Tiruppur}} Textile Region, {{India}}}, + title = {Training for Employment or Skilling up from Employment? {{Jobs}} and Skills Acquisition in the {{Tiruppur}} Textile Region, {{India}}}, author = {Carswell, Grace and De Neve, Geert}, year = {2022 DEC 19 2022}, journal = {THIRD WORLD QUARTERLY}, @@ -46313,7 +47826,9 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000909815200001}, usage-count-last-180-days = {6}, usage-count-since-2013 = {8}, - web-of-science-categories = {Development Studies} + web-of-science-categories = {Development Studies}, + keywords = {country::India,inequality::age,inequality::gender,inequality::income,inequality::migration,method::qualitative,method::quantitative,region::AP,TODO::QUESTION}, + note = {looks at LM adjacent outcomes of vocational training} } @article{WOS:000910749600001, @@ -46338,7 +47853,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000910749600001}, usage-count-last-180-days = {5}, usage-count-since-2013 = {6}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {TODO::abstract} } @article{WOS:000911590500001, @@ -46359,7 +47875,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000911590500001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {1}, - web-of-science-categories = {Pharmacology \& Pharmacy} + web-of-science-categories = {Pharmacology \& Pharmacy}, + keywords = {out::title} } @article{WOS:000912165500001, @@ -46408,7 +47925,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000912491800006}, usage-count-last-180-days = {5}, usage-count-since-2013 = {5}, - web-of-science-categories = {Rehabilitation} + web-of-science-categories = {Rehabilitation}, + keywords = {out::title} } @article{WOS:000913458300001, @@ -46429,7 +47947,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000913458300001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {1}, - web-of-science-categories = {Economics; Industrial Relations \& Labor} + web-of-science-categories = {Economics; Industrial Relations \& Labor}, + keywords = {out::title} } @article{WOS:000914457000003, @@ -46453,7 +47972,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000914457000003}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Psychology, Applied} + web-of-science-categories = {Psychology, Applied}, + keywords = {inequality::gender,out::abstract} } @article{WOS:000914687900001, @@ -46478,7 +47998,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000914687900001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {4}, - web-of-science-categories = {Medicine, Research \& Experimental} + web-of-science-categories = {Medicine, Research \& Experimental}, + keywords = {out::abstract} } @article{WOS:000914765600002, @@ -46503,7 +48024,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000914765600002}, usage-count-last-180-days = {0}, usage-count-since-2013 = {3}, - web-of-science-categories = {Social Sciences, Interdisciplinary} + web-of-science-categories = {Social Sciences, Interdisciplinary}, + keywords = {TODO::abstract} } @article{WOS:000916808200001, @@ -46528,7 +48050,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000916808200001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {3}, - web-of-science-categories = {Gerontology} + web-of-science-categories = {Gerontology}, + keywords = {TODO::abstract} } @article{WOS:000916841800007, @@ -46552,7 +48075,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000916841800007}, usage-count-last-180-days = {7}, usage-count-since-2013 = {12}, - web-of-science-categories = {Urban Studies} + web-of-science-categories = {Urban Studies}, + keywords = {out::title} } @article{WOS:000917492400001, @@ -46574,7 +48098,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000917492400001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {4}, - web-of-science-categories = {Business; History Of Social Sciences} + web-of-science-categories = {Business; History Of Social Sciences}, + keywords = {TODO::abstract} } @article{WOS:000917821500001, @@ -46597,7 +48122,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000917821500001}, usage-count-last-180-days = {18}, usage-count-since-2013 = {33}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {TODO::abstract} } @article{WOS:000918368000001, @@ -46622,7 +48148,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000918368000001}, usage-count-last-180-days = {7}, usage-count-since-2013 = {15}, - web-of-science-categories = {Public Administration; Social Issues} + web-of-science-categories = {Public Administration; Social Issues}, + keywords = {TODO::abstract} } @article{WOS:000918401400009, @@ -46645,7 +48172,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000918401400009}, usage-count-last-180-days = {2}, usage-count-since-2013 = {2}, - web-of-science-categories = {Law} + web-of-science-categories = {Law}, + keywords = {country::Chile,inequality::gender,inequality::migration,method::qualitative,out::abstract,region::LAC} } @article{WOS:000918525200001, @@ -46668,7 +48196,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000918525200001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {7}, - web-of-science-categories = {Green \& Sustainable Science \& Technology; Environmental Sciences; Environmental Studies; Urban Studies} + web-of-science-categories = {Green \& Sustainable Science \& Technology; Environmental Sciences; Environmental Studies; Urban Studies}, + keywords = {out::title} } @article{WOS:000919492000006, @@ -46692,7 +48221,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000919492000006}, usage-count-last-180-days = {2}, usage-count-since-2013 = {5}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {out::title} } @article{WOS:000920954800006, @@ -46716,7 +48246,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000920954800006}, usage-count-last-180-days = {1}, usage-count-since-2013 = {1}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {country::France,region::EU,relevant,TODO::abstract} } @article{WOS:000921013100001, @@ -46741,7 +48272,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000921013100001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Industrial Relations \& Labor} + web-of-science-categories = {Industrial Relations \& Labor}, + keywords = {out::title} } @article{WOS:000922129900001, @@ -46765,7 +48297,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000922129900001}, usage-count-last-180-days = {5}, usage-count-since-2013 = {6}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {out::title} } @article{WOS:000924754200001, @@ -46812,7 +48345,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000925187700001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {4}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {TODO::abstract} } @incollection{WOS:000925204700013, @@ -46834,7 +48368,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000925204700013}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Social Sciences, Interdisciplinary; Women's Studies} + web-of-science-categories = {Social Sciences, Interdisciplinary; Women's Studies}, + keywords = {out::abstract} } @article{WOS:000925542900001, @@ -46859,7 +48394,9 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000925542900001}, usage-count-last-180-days = {4}, usage-count-since-2013 = {4}, - web-of-science-categories = {Dentistry, Oral Surgery \& Medicine; Public, Environmental \& Occupational Health} + web-of-science-categories = {Dentistry, Oral Surgery \& Medicine; Public, Environmental \& Occupational Health}, + keywords = {out::abstract}, + note = {does not look at policy intervention; does not look at LM adjacency} } @article{WOS:000928771400001, @@ -46883,7 +48420,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000928771400001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {1}, - web-of-science-categories = {Demography; Geography} + web-of-science-categories = {Demography; Geography}, + keywords = {TODO::abstract} } @article{WOS:000928885500001, @@ -46908,7 +48446,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000928885500001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {3}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {cite::channels,inequality::gender,inequality::racial,out::title} } @article{WOS:000930523000001, @@ -46933,7 +48472,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000930523000001}, usage-count-last-180-days = {5}, usage-count-since-2013 = {15}, - web-of-science-categories = {Engineering, Environmental; Environmental Sciences} + web-of-science-categories = {Engineering, Environmental; Environmental Sciences}, + keywords = {out::title} } @article{WOS:000935928200004, @@ -46956,7 +48496,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000935928200004}, usage-count-last-180-days = {1}, usage-count-since-2013 = {5}, - web-of-science-categories = {Health Care Sciences \& Services} + web-of-science-categories = {Health Care Sciences \& Services}, + keywords = {relevant,TODO::abstract} } @article{WOS:000936044000001, @@ -46981,7 +48522,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000936044000001}, usage-count-last-180-days = {5}, usage-count-since-2013 = {7}, - web-of-science-categories = {Demography; Economics} + web-of-science-categories = {Demography; Economics}, + keywords = {cite::channels,inequality::generational,inequality::income,TODO::abstract} } @article{WOS:000941572400001, @@ -47006,7 +48548,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000941572400001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::abstract} } @article{WOS:000943183900001, @@ -47031,7 +48574,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000943183900001}, usage-count-last-180-days = {10}, usage-count-since-2013 = {10}, - web-of-science-categories = {Management; Women's Studies} + web-of-science-categories = {Management; Women's Studies}, + keywords = {out::title} } @article{WOS:000943573700001, @@ -47053,7 +48597,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000943573700001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {2}, - web-of-science-categories = {Computer Science, Information Systems; Computer Science, Interdisciplinary Applications; Health Care Sciences \& Services; Information Science \& Library Science; Medical Informatics} + web-of-science-categories = {Computer Science, Information Systems; Computer Science, Interdisciplinary Applications; Health Care Sciences \& Services; Information Science \& Library Science; Medical Informatics}, + keywords = {inequality::racial,relevant,TODO::abstract} } @article{WOS:000945707000001, @@ -47075,7 +48620,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000945707000001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {3}, - web-of-science-categories = {Social Issues; Social Work} + web-of-science-categories = {Social Issues; Social Work}, + keywords = {TODO::abstract} } @article{WOS:000945803600001, @@ -47098,7 +48644,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000945803600001}, usage-count-last-180-days = {5}, usage-count-since-2013 = {7}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::title} } @article{WOS:000945977800033, @@ -47121,7 +48668,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000945977800033}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Multidisciplinary Sciences} + web-of-science-categories = {Multidisciplinary Sciences}, + keywords = {out::title} } @article{WOS:000946756100001, @@ -47146,7 +48694,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000946756100001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Law} + web-of-science-categories = {Law}, + keywords = {inequality::disability,relevant,TODO::abstract} } @article{WOS:000946918900001, @@ -47171,7 +48720,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000946918900001}, usage-count-last-180-days = {4}, usage-count-since-2013 = {6}, - web-of-science-categories = {Business} + web-of-science-categories = {Business}, + keywords = {TODO::abstract} } @article{WOS:000949660400001, @@ -47195,7 +48745,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000949660400001}, usage-count-last-180-days = {18}, usage-count-since-2013 = {19}, - web-of-science-categories = {Economics; Transportation} + web-of-science-categories = {Economics; Transportation}, + keywords = {relevant,TODO::abstract} } @article{WOS:000949807800014, @@ -47218,7 +48769,9 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000949807800014}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Pediatrics} + web-of-science-categories = {Pediatrics}, + keywords = {country::US,inequality::gender,inequality::racial,out::abstract,region::NA}, + note = {looks at LM adjacent policy initiative; does NOT look at LM adjacent inequality outcomes} } @article{WOS:000949947800001, @@ -47241,7 +48794,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000949947800001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {2}, - web-of-science-categories = {Substance Abuse} + web-of-science-categories = {Substance Abuse}, + keywords = {out::title} } @article{WOS:000950075700001, @@ -47266,7 +48820,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000950075700001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {1}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {out::title} } @article{WOS:000950272000001, @@ -47287,7 +48842,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000950272000001}, usage-count-last-180-days = {6}, usage-count-since-2013 = {8}, - web-of-science-categories = {Psychology, Applied} + web-of-science-categories = {Psychology, Applied}, + keywords = {TODO::abstract} } @article{WOS:000950354000001, @@ -47312,7 +48868,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000950354000001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Social Work} + web-of-science-categories = {Social Work}, + keywords = {TODO::abstract} } @article{WOS:000950993500001, @@ -47337,7 +48894,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000950993500001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {1}, - web-of-science-categories = {Nursing} + web-of-science-categories = {Nursing}, + keywords = {out::title} } @article{WOS:000951299200001, @@ -47360,7 +48918,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000951299200001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {5}, - web-of-science-categories = {Health Policy \& Services; Industrial Relations \& Labor} + web-of-science-categories = {Health Policy \& Services; Industrial Relations \& Labor}, + keywords = {review::scoping,TODO::review} } @article{WOS:000953785800001, @@ -47383,7 +48942,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000953785800001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {5}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {relevant,TODO::abstract} } @article{WOS:000954585700001, @@ -47404,7 +48964,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000954585700001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {1}, - web-of-science-categories = {Education, Special} + web-of-science-categories = {Education, Special}, + keywords = {out::title} } @article{WOS:000956070600001, @@ -47429,7 +48990,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000956070600001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Emergency Medicine; Public, Environmental \& Occupational Health} + web-of-science-categories = {Emergency Medicine; Public, Environmental \& Occupational Health}, + keywords = {out::title} } @article{WOS:000956608200001, @@ -47450,7 +49012,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000956608200001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {4}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {TODO::abstract,type::collective\_action} } @article{WOS:000956915600001, @@ -47473,7 +49036,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000956915600001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {1}, - web-of-science-categories = {Nutrition \& Dietetics} + web-of-science-categories = {Nutrition \& Dietetics}, + keywords = {out::title} } @article{WOS:000957941000005, @@ -47496,7 +49060,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000957941000005}, usage-count-last-180-days = {6}, usage-count-since-2013 = {7}, - web-of-science-categories = {Rehabilitation} + web-of-science-categories = {Rehabilitation}, + keywords = {TODO::abstract} } @article{WOS:000961282900001, @@ -47520,7 +49085,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000961282900001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {1}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::title} } @article{WOS:000961549600006, @@ -47542,7 +49108,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000961549600006}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {cite::framework,country::Spain,inequality::gender,method::qualitative,out::abstract,region::EU,type::collective\_action} } @article{WOS:000962388800001, @@ -47588,7 +49155,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000962974100001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {1}, - web-of-science-categories = {Education \& Educational Research; Ethnic Studies} + web-of-science-categories = {Education \& Educational Research; Ethnic Studies}, + keywords = {out::title} } @article{WOS:000964889700010, @@ -47608,7 +49176,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000964889700010}, usage-count-last-180-days = {1}, usage-count-since-2013 = {1}, - web-of-science-categories = {Law} + web-of-science-categories = {Law}, + keywords = {out::title} } @article{WOS:000966045000001, @@ -47632,7 +49201,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000966045000001}, usage-count-last-180-days = {5}, usage-count-since-2013 = {5}, - web-of-science-categories = {Education \& Educational Research} + web-of-science-categories = {Education \& Educational Research}, + keywords = {out::title} } @article{WOS:000966671900001, @@ -47656,7 +49226,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000966671900001}, usage-count-last-180-days = {9}, usage-count-since-2013 = {10}, - web-of-science-categories = {Development Studies; Economics} + web-of-science-categories = {Development Studies; Economics}, + keywords = {relevant,TODO::abstract} } @article{WOS:000967811100002, @@ -47682,7 +49253,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000967811100002}, usage-count-last-180-days = {6}, usage-count-since-2013 = {6}, - web-of-science-categories = {Cardiac \& Cardiovascular Systems} + web-of-science-categories = {Cardiac \& Cardiovascular Systems}, + keywords = {out::title} } @article{WOS:000969287000001, @@ -47703,7 +49275,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000969287000001}, usage-count-last-180-days = {12}, usage-count-since-2013 = {12}, - web-of-science-categories = {Area Studies; International Relations; Political Science} + web-of-science-categories = {Area Studies; International Relations; Political Science}, + keywords = {inequality::income,region::LAC,relevant,TODO::abstract} } @article{WOS:000970120700001, @@ -47724,7 +49297,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000970120700001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {3}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {out::title} } @article{WOS:000970517800003, @@ -47746,7 +49320,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000970517800003}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Ethics; Law; Medical Ethics; Medicine, Legal} + web-of-science-categories = {Ethics; Law; Medical Ethics; Medicine, Legal}, + keywords = {cite::channels,TODO::abstract} } @article{WOS:000970860800001, @@ -47770,7 +49345,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000970860800001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {2}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {country::US,inequality::racial,region::NA,relevant,TODO::abstract} } @article{WOS:000971230100005, @@ -47791,7 +49367,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000971230100005}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {History} + web-of-science-categories = {History}, + keywords = {out::title} } @article{WOS:000972383000001, @@ -47813,7 +49390,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000972383000001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {2}, - web-of-science-categories = {Urban Studies} + web-of-science-categories = {Urban Studies}, + keywords = {country::Brazil,region::LAC,TODO::abstract} } @article{WOS:000975638800011, @@ -47861,7 +49439,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000979820800005}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Area Studies} + web-of-science-categories = {Area Studies}, + keywords = {out::title} } @article{WOS:000981302300001, @@ -47886,7 +49465,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000981302300001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Social Work} + web-of-science-categories = {Social Work}, + keywords = {out::title} } @article{WOS:000981890300001, @@ -47910,7 +49490,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000981890300001}, usage-count-last-180-days = {6}, usage-count-since-2013 = {6}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::abstract} } @article{WOS:000984025000001, @@ -47931,7 +49512,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000984025000001}, usage-count-last-180-days = {5}, usage-count-since-2013 = {5}, - web-of-science-categories = {Psychology, Developmental} + web-of-science-categories = {Psychology, Developmental}, + keywords = {cite::channels,inequality::disability,out::title} } @article{WOS:000984103800001, @@ -47954,7 +49536,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000984103800001}, usage-count-last-180-days = {11}, usage-count-since-2013 = {11}, - web-of-science-categories = {Psychology, Multidisciplinary} + web-of-science-categories = {Psychology, Multidisciplinary}, + keywords = {TODO::abstract} } @article{WOS:000984142700001, @@ -47975,7 +49558,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000984142700001}, usage-count-last-180-days = {5}, usage-count-since-2013 = {5}, - web-of-science-categories = {Social Sciences, Interdisciplinary} + web-of-science-categories = {Social Sciences, Interdisciplinary}, + keywords = {review::systematic,TODO::abstract} } @article{WOS:000984513100007, @@ -47998,7 +49582,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000984513100007}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::title} } @article{WOS:000984871300001, @@ -48021,7 +49606,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000984871300001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {3}, - web-of-science-categories = {Health Policy \& Services; Industrial Relations \& Labor} + web-of-science-categories = {Health Policy \& Services; Industrial Relations \& Labor}, + keywords = {TODO::abstract} } @article{WOS:000985366500003, @@ -48042,7 +49628,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000985366500003}, usage-count-last-180-days = {8}, usage-count-since-2013 = {8}, - web-of-science-categories = {Economics; Family Studies} + web-of-science-categories = {Economics; Family Studies}, + keywords = {TODO::abstract} } @article{WOS:000988854500009, @@ -48065,7 +49652,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000988854500009}, usage-count-last-180-days = {6}, usage-count-since-2013 = {6}, - web-of-science-categories = {Construction \& Building Technology; Engineering, Industrial; Engineering, Civil} + web-of-science-categories = {Construction \& Building Technology; Engineering, Industrial; Engineering, Civil}, + keywords = {out::title} } @article{WOS:000990295700001, @@ -48089,7 +49677,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000990295700001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Allergy; Immunology} + web-of-science-categories = {Allergy; Immunology}, + keywords = {out::title} } @article{WOS:000990405000001, @@ -48112,7 +49701,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000990405000001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Psychiatry} + web-of-science-categories = {Psychiatry}, + keywords = {TODO::abstract} } @article{WOS:000992129300001, @@ -48133,7 +49723,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000992129300001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Urban Studies} + web-of-science-categories = {Urban Studies}, + keywords = {TODO::abstract,type::collective\_action} } @article{WOS:000994504900001, @@ -48155,7 +49746,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000994504900001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {3}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::title} } @article{WOS:000995212900001, @@ -48204,7 +49796,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000995510200024}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {TODO::abstract} } @article{WOS:000996219500001, @@ -48225,7 +49818,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000996219500001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Geography} + web-of-science-categories = {Geography}, + keywords = {relevant,TODO::abstract} } @article{WOS:001001278400001, @@ -48250,7 +49844,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001001278400001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {TODO::abstract} } @article{WOS:001001500800007, @@ -48273,7 +49868,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001001500800007}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Medicine, General \& Internal} + web-of-science-categories = {Medicine, General \& Internal}, + keywords = {relevant,TODO::abstract} } @article{WOS:001001813600003, @@ -48297,7 +49893,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001001813600003}, usage-count-last-180-days = {1}, usage-count-since-2013 = {1}, - web-of-science-categories = {Pediatrics} + web-of-science-categories = {Pediatrics}, + keywords = {out::title} } @article{WOS:001005377500001, @@ -48343,7 +49940,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001005628100001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {3}, - web-of-science-categories = {Health Policy \& Services} + web-of-science-categories = {Health Policy \& Services}, + keywords = {cite::channels,inequality::gender,method::qualitative,out::title} } @article{WOS:001007142500001, @@ -48364,7 +49962,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001007142500001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Psychology, Clinical; Social Sciences, Interdisciplinary} + web-of-science-categories = {Psychology, Clinical; Social Sciences, Interdisciplinary}, + keywords = {out::title} } @article{WOS:001007897700001, @@ -48385,7 +49984,9 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001007897700001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {2}, - web-of-science-categories = {Demography} + web-of-science-categories = {Demography}, + keywords = {out::title}, + note = {no look at specific policy intervention} } @article{WOS:001008478100001, @@ -48410,7 +50011,9 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001008478100001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Medicine, General \& Internal} + web-of-science-categories = {Medicine, General \& Internal}, + keywords = {country::Canada,out::abstract}, + note = {does not look at LM adjacency; specific intervention impact} } @article{WOS:001008589400006, @@ -48432,7 +50035,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001008589400006}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Industrial Relations \& Labor} + web-of-science-categories = {Industrial Relations \& Labor}, + keywords = {country::Canada,inequality::gender,inequality::income,inequality::racial,region::NA,relevant,TODO::abstract} } @article{WOS:001009236700001, @@ -48453,7 +50057,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001009236700001}, usage-count-last-180-days = {6}, usage-count-since-2013 = {6}, - web-of-science-categories = {Rehabilitation; Social Sciences, Interdisciplinary} + web-of-science-categories = {Rehabilitation; Social Sciences, Interdisciplinary}, + keywords = {out::title} } @article{WOS:001009883000001, @@ -48478,7 +50083,9 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001009883000001}, usage-count-last-180-days = {4}, usage-count-since-2013 = {4}, - web-of-science-categories = {Psychology, Developmental} + web-of-science-categories = {Psychology, Developmental}, + keywords = {out::abstract}, + note = {does not look at specific intervention nor LM adjacency} } @article{WOS:001012177000001, @@ -48503,7 +50110,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001012177000001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {1}, - web-of-science-categories = {Development Studies; Economics} + web-of-science-categories = {Development Studies; Economics}, + keywords = {out::title} } @article{WOS:001012255600017, @@ -48527,7 +50135,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001012255600017}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Urology \& Nephrology} + web-of-science-categories = {Urology \& Nephrology}, + keywords = {out::title} } @article{WOS:001016192600001, @@ -48550,7 +50159,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001016192600001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {2}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {cite::channels,inequality::gender,out::abstract} } @article{WOS:001017553800001, @@ -48571,7 +50181,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001017553800001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {out::title} } @article{WOS:001018508200011, @@ -48595,7 +50206,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001018508200011}, usage-count-last-180-days = {0}, usage-count-since-2013 = {1}, - web-of-science-categories = {Orthopedics; Surgery} + web-of-science-categories = {Orthopedics; Surgery}, + keywords = {TODO::abstract} } @article{WOS:001020950800002, @@ -48617,7 +50229,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001020950800002}, usage-count-last-180-days = {2}, usage-count-since-2013 = {2}, - web-of-science-categories = {Law} + web-of-science-categories = {Law}, + keywords = {out::title} } @article{WOS:001021349300027, @@ -48640,7 +50253,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001021349300027}, usage-count-last-180-days = {1}, usage-count-since-2013 = {1}, - web-of-science-categories = {Multidisciplinary Sciences} + web-of-science-categories = {Multidisciplinary Sciences}, + keywords = {TODO::abstract} } @article{WOS:001022085600004, @@ -48663,7 +50277,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001022085600004}, usage-count-last-180-days = {5}, usage-count-since-2013 = {5}, - web-of-science-categories = {Hospitality, Leisure, Sport \& Tourism} + web-of-science-categories = {Hospitality, Leisure, Sport \& Tourism}, + keywords = {out::title} } @article{WOS:001024752900004, @@ -48687,7 +50302,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001024752900004}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {out::title} } @article{WOS:001025233500001, @@ -48708,7 +50324,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001025233500001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {2}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {TODO::abstract} } @article{WOS:001025569100001, @@ -48732,7 +50349,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001025569100001}, usage-count-last-180-days = {34}, usage-count-since-2013 = {34}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {out::title} } @article{WOS:001026444500003, @@ -48779,7 +50397,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001028568400002}, usage-count-last-180-days = {2}, usage-count-since-2013 = {2}, - web-of-science-categories = {Rehabilitation} + web-of-science-categories = {Rehabilitation}, + keywords = {inequality::disability,review::scoping,TODO::review} } @article{WOS:001030137100001, @@ -48804,7 +50423,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001030137100001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {1}, - web-of-science-categories = {Social Issues; Psychology, Social} + web-of-science-categories = {Social Issues; Psychology, Social}, + keywords = {out::title} } @article{WOS:001031095800001, @@ -48827,7 +50447,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001031095800001}, usage-count-last-180-days = {9}, usage-count-since-2013 = {9}, - web-of-science-categories = {Green \& Sustainable Science \& Technology; Environmental Sciences; Environmental Studies} + web-of-science-categories = {Green \& Sustainable Science \& Technology; Environmental Sciences; Environmental Studies}, + keywords = {TODO::abstract} } @article{WOS:001031602500001, @@ -48848,7 +50469,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001031602500001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {1}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {TODO::abstract} } @article{WOS:001031889700001, @@ -48873,7 +50495,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001031889700001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {2}, - web-of-science-categories = {Business, Finance; Economics} + web-of-science-categories = {Business, Finance; Economics}, + keywords = {country::Britain,region::EU,TODO::abstract} } @article{WOS:001032362200001, @@ -48896,7 +50519,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001032362200001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {1}, - web-of-science-categories = {Health Policy \& Services} + web-of-science-categories = {Health Policy \& Services}, + keywords = {out::title} } @article{WOS:001034103200001, @@ -48920,7 +50544,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001034103200001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {1}, - web-of-science-categories = {Economics} + web-of-science-categories = {Economics}, + keywords = {TODO::abstract} } @article{WOS:001034340400001, @@ -48941,7 +50566,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001034340400001}, usage-count-last-180-days = {9}, usage-count-since-2013 = {9}, - web-of-science-categories = {Industrial Relations \& Labor; Management} + web-of-science-categories = {Industrial Relations \& Labor; Management}, + keywords = {cite::channels,inequality::gender,out::title} } @inproceedings{WOS:001036715000017, @@ -48964,6 +50590,7 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} usage-count-last-180-days = {1}, usage-count-since-2013 = {1}, web-of-science-categories = {Computer Science, Interdisciplinary Applications; Computer Science, Theory \& Methods; Ergonomics}, + keywords = {out::abstract}, note = {ACM Designing Interactive Systems Conference (DIS), ELECTR NETWORK, JUN 13-17, 2022} } @@ -48988,7 +50615,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001036791600001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Immunology; Medicine, Research \& Experimental} + web-of-science-categories = {Immunology; Medicine, Research \& Experimental}, + keywords = {out::title} } @article{WOS:001037211700016, @@ -49010,7 +50638,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001037211700016}, usage-count-last-180-days = {8}, usage-count-since-2013 = {8}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {TODO::abstract} } @article{WOS:001037352000001, @@ -49031,7 +50660,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001037352000001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Area Studies} + web-of-science-categories = {Area Studies}, + keywords = {relevant,TODO::abstract} } @article{WOS:001037369800001, @@ -49052,7 +50682,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001037369800001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Oncology} + web-of-science-categories = {Oncology}, + keywords = {inequality::health,relevant,TODO::abstract} } @article{WOS:001038363900001, @@ -49075,7 +50706,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001038363900001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {1}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {out::title} } @article{WOS:001039797900001, @@ -49098,7 +50730,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001039797900001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {2}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::title} } @article{WOS:001040414700001, @@ -49119,7 +50752,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001040414700001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {1}, - web-of-science-categories = {Psychology, Developmental; Rehabilitation} + web-of-science-categories = {Psychology, Developmental; Rehabilitation}, + keywords = {TODO::abstract} } @article{WOS:001043566900001, @@ -49140,7 +50774,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001043566900001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Development Studies} + web-of-science-categories = {Development Studies}, + keywords = {out::abstract} } @article{WOS:001043962500005, @@ -49163,7 +50798,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001043962500005}, usage-count-last-180-days = {0}, usage-count-since-2013 = {4}, - web-of-science-categories = {Psychology, Clinical} + web-of-science-categories = {Psychology, Clinical}, + keywords = {out::title,review::umbrella} } @article{WOS:001044314800001, @@ -49184,7 +50820,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001044314800001}, usage-count-last-180-days = {4}, usage-count-since-2013 = {4}, - web-of-science-categories = {Education \& Educational Research; History \& Philosophy Of Science; Social Sciences, Interdisciplinary} + web-of-science-categories = {Education \& Educational Research; History \& Philosophy Of Science; Social Sciences, Interdisciplinary}, + keywords = {TODO::abstract} } @article{WOS:001044869900001, @@ -49205,7 +50842,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001044869900001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Health Policy \& Services; Public, Environmental \& Occupational Health} + web-of-science-categories = {Health Policy \& Services; Public, Environmental \& Occupational Health}, + keywords = {out::title} } @article{WOS:001045474900018, @@ -49228,7 +50866,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001045474900018}, usage-count-last-180-days = {1}, usage-count-since-2013 = {1}, - web-of-science-categories = {Medicine, General \& Internal} + web-of-science-categories = {Medicine, General \& Internal}, + keywords = {out::title} } @article{WOS:001046456100002, @@ -49251,7 +50890,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001046456100002}, usage-count-last-180-days = {1}, usage-count-since-2013 = {1}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {relevant,TODO::abstract} } @article{WOS:001047099700012, @@ -49274,7 +50914,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001047099700012}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Radiology, Nuclear Medicine \& Medical Imaging} + web-of-science-categories = {Radiology, Nuclear Medicine \& Medical Imaging}, + keywords = {out::title} } @article{WOS:001048391200001, @@ -49297,7 +50938,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001048391200001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {1}, - web-of-science-categories = {Social Sciences, Interdisciplinary} + web-of-science-categories = {Social Sciences, Interdisciplinary}, + keywords = {out::title} } @article{WOS:001048768500001, @@ -49318,7 +50960,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001048768500001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {1}, - web-of-science-categories = {Social Sciences, Interdisciplinary} + web-of-science-categories = {Social Sciences, Interdisciplinary}, + keywords = {out::abstract} } @article{WOS:001049014000001, @@ -49341,7 +50984,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001049014000001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {2}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {TODO::abstract} } @article{WOS:001049247300001, @@ -49386,7 +51030,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001049873400001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {1}, - web-of-science-categories = {Political Science} + web-of-science-categories = {Political Science}, + keywords = {out::title} } @article{WOS:001050303400001, @@ -49407,7 +51052,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001050303400001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Management} + web-of-science-categories = {Management}, + keywords = {cite::channels,country::Malta,inequality::gender,out::title,region::EU} } @article{WOS:001051091600001, @@ -49431,7 +51077,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001051091600001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Rehabilitation; Sport Sciences} + web-of-science-categories = {Rehabilitation; Sport Sciences}, + keywords = {country::US,inequality::health,inequality::racial,region::NA,relevant,TODO::abstract} } @article{WOS:001055540500001, @@ -49454,7 +51101,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001055540500001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {1}, - web-of-science-categories = {Multidisciplinary Sciences} + web-of-science-categories = {Multidisciplinary Sciences}, + keywords = {inequality::gender,out::title} } @article{WOS:001056892400001, @@ -49497,7 +51145,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001057541700001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {1}, - web-of-science-categories = {Sociology} + web-of-science-categories = {Sociology}, + keywords = {out::title} } @article{WOS:001057986800001, @@ -49520,7 +51169,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001057986800001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Gastroenterology \& Hepatology} + web-of-science-categories = {Gastroenterology \& Hepatology}, + keywords = {relevant,TODO::abstract} } @article{WOS:001058426700001, @@ -49543,7 +51193,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001058426700001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Obstetrics \& Gynecology; Pediatrics} + web-of-science-categories = {Obstetrics \& Gynecology; Pediatrics}, + keywords = {out::title} } @article{WOS:001059015200025, @@ -49567,7 +51218,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001059015200025}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Critical Care Medicine; Surgery} + web-of-science-categories = {Critical Care Medicine; Surgery}, + keywords = {out::title} } @article{WOS:001060749900001, @@ -49590,7 +51242,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001060749900001}, usage-count-last-180-days = {3}, usage-count-since-2013 = {3}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::title} } @article{WOS:001065068200001, @@ -49635,7 +51288,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001066536900001}, usage-count-last-180-days = {2}, usage-count-since-2013 = {2}, - web-of-science-categories = {Family Studies; Sociology} + web-of-science-categories = {Family Studies; Sociology}, + keywords = {TODO::abstract} } @article{WOS:001066632600001, @@ -49656,7 +51310,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001066632600001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {1}, - web-of-science-categories = {Clinical Neurology} + web-of-science-categories = {Clinical Neurology}, + keywords = {out::review,review::narrative} } @article{WOS:001067503100001, @@ -49704,7 +51359,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001069399200006}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Public Administration} + web-of-science-categories = {Public Administration}, + keywords = {TODO::abstract} } @article{WOS:001070199600001, @@ -49725,7 +51381,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001070199600001}, usage-count-last-180-days = {1}, usage-count-since-2013 = {1}, - web-of-science-categories = {Industrial Relations \& Labor} + web-of-science-categories = {Industrial Relations \& Labor}, + keywords = {cite::channels,inequality::gender,out::title} } @article{WOS:001071129400001, @@ -49748,7 +51405,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001071129400001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Public, Environmental \& Occupational Health; Social Sciences, Biomedical} + web-of-science-categories = {Public, Environmental \& Occupational Health; Social Sciences, Biomedical}, + keywords = {out::title} } @article{WOS:001075675900010, @@ -49771,7 +51429,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001075675900010}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services; Public, Environmental \& Occupational Health} + web-of-science-categories = {Health Care Sciences \& Services; Health Policy \& Services; Public, Environmental \& Occupational Health}, + keywords = {out::title} } @article{WOS:001079378100005, @@ -49794,7 +51453,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:001079378100005}, usage-count-last-180-days = {0}, usage-count-since-2013 = {0}, - web-of-science-categories = {Public, Environmental \& Occupational Health} + web-of-science-categories = {Public, Environmental \& Occupational Health}, + keywords = {out::title} } @article{WOS:A1992HH70000004, @@ -49817,7 +51477,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:A1992HH70000004}, usage-count-last-180-days = {0}, usage-count-since-2013 = {4}, - web-of-science-categories = {Economics; Industrial Relations \& Labor; Sociology} + web-of-science-categories = {Economics; Industrial Relations \& Labor; Sociology}, + keywords = {issue::age,out::year} } @article{WOS:A1992JD29200002, @@ -49839,7 +51500,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:A1992JD29200002}, usage-count-last-180-days = {0}, usage-count-since-2013 = {3}, - web-of-science-categories = {History} + web-of-science-categories = {History}, + keywords = {issue::age,out::year} } @article{WOS:A1993PR69100007, @@ -49862,7 +51524,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:A1993PR69100007}, usage-count-last-180-days = {0}, usage-count-since-2013 = {5}, - web-of-science-categories = {Gerontology} + web-of-science-categories = {Gerontology}, + keywords = {issue::age,out::year} } @article{WOS:A1994PP00700001, @@ -49885,7 +51548,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:A1994PP00700001}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Political Science; Public Administration} + web-of-science-categories = {Political Science; Public Administration}, + keywords = {issue::age,out::year} } @article{WOS:A1994QD05600002, @@ -49907,7 +51571,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:A1994QD05600002}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Regional \& Urban Planning} + web-of-science-categories = {Regional \& Urban Planning}, + keywords = {issue::age,out::year} } @article{WOS:A1995QV53900010, @@ -49929,7 +51594,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:A1995QV53900010}, usage-count-last-180-days = {0}, usage-count-since-2013 = {57}, - web-of-science-categories = {Business; Management} + web-of-science-categories = {Business; Management}, + keywords = {issue::age,out::year} } @article{WOS:A1995TN95100002, @@ -49952,7 +51618,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:A1995TN95100002}, usage-count-last-180-days = {0}, usage-count-since-2013 = {1}, - web-of-science-categories = {Social Work} + web-of-science-categories = {Social Work}, + keywords = {issue::age,out::year} } @article{WOS:A1996UA41100012, @@ -49975,7 +51642,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:A1996UA41100012}, usage-count-last-180-days = {0}, usage-count-since-2013 = {2}, - web-of-science-categories = {Computer Science, Hardware \& Architecture; Computer Science, Software Engineering} + web-of-science-categories = {Computer Science, Hardware \& Architecture; Computer Science, Software Engineering}, + keywords = {issue::age,out::year} } @article{WOS:A1996UV74600012, @@ -49998,7 +51666,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:A1996UV74600012}, usage-count-last-180-days = {2}, usage-count-since-2013 = {40}, - web-of-science-categories = {Public, Environmental \& Occupational Health; Social Sciences, Biomedical} + web-of-science-categories = {Public, Environmental \& Occupational Health; Social Sciences, Biomedical}, + keywords = {issue::age,out::year} } @article{WOS:A1997WP65200007, @@ -50021,7 +51690,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:A1997WP65200007}, usage-count-last-180-days = {0}, usage-count-since-2013 = {7}, - web-of-science-categories = {Development Studies; Economics} + web-of-science-categories = {Development Studies; Economics}, + keywords = {issue::age,out::year} } @article{WOS:A1997WT46500002, @@ -50044,7 +51714,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:A1997WT46500002}, usage-count-last-180-days = {0}, usage-count-since-2013 = {5}, - web-of-science-categories = {Public Administration; Social Issues; Social Work} + web-of-science-categories = {Public Administration; Social Issues; Social Work}, + keywords = {issue::age,out::year} } @article{WOS:A1997WU90600010, @@ -50068,6 +51739,7 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} usage-count-last-180-days = {0}, usage-count-since-2013 = {4}, web-of-science-categories = {Economics; Public Administration}, + keywords = {issue::age,out::year}, note = {70th Annual Conference of the Western-Economic-Association-International, SAN DIEGO, CA, JUL 05-09, 1995} } @@ -50091,7 +51763,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:A1997WV37200003}, usage-count-last-180-days = {0}, usage-count-since-2013 = {12}, - web-of-science-categories = {Development Studies; Economics; Urban Studies} + web-of-science-categories = {Development Studies; Economics; Urban Studies}, + keywords = {issue::age,out::year} } @article{Wright1975, @@ -50106,7 +51779,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} pages = {553}, issn = {00377732}, doi = {10.2307/2576471}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {issue::age,out::year} } @article{Wu2004, @@ -50154,7 +51828,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} issn = {00223956}, doi = {10.1016/j.jpsychires.2021.01.023}, urldate = {2023-11-20}, - langid = {english} + langid = {english}, + keywords = {out::title} } @incollection{Xiong2017, @@ -50169,7 +51844,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} doi = {10.1007/978-4-431-56472-0_9}, urldate = {2023-11-24}, isbn = {978-4-431-56470-6 978-4-431-56472-0}, - langid = {english} + langid = {english}, + keywords = {relevant,TODO::abstract} } @article{Xue2021, @@ -50186,7 +51862,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} doi = {10.1371/journal.pone.0247959}, urldate = {2023-11-20}, abstract = {Objective To describe how men and women divided childcare and housework demands during the height of the first Covid-19 lockdown in the UK, and whether these divisions were associated with worsening mental health during the pandemic. Background School closures and homeworking during the Covid-19 crisis have resulted in an immediate increase in unpaid care work, which draws new attention to gender inequality in divisions of unpaid care work. Methods Data come from the wave 9 (2017{\textendash}19) of Understanding Society and the following April (n = 15,426) and May (n = 14,150) waves of Understanding Society Covid-19 study. Psychological distress was measured using the General Health Questionnaire (GHQ) at both before and during the lockdown, and unpaid care work was measured during the lockdown. Linear regression models were used. Results Women spent much more time on unpaid care work than men during lockdown, and it was more likely to be the mother than the father who reduced working hours or changed employment schedules due to increased time on childcare. Women who spent long hours on housework and childcare were more likely to report increased levels of psychological distress. Working parents who adapted their work patterns increased more psychological distress than those who did not. This association was much stronger if he or she was the only member in the household who adapted their work patterns, or if she was a lone mother. Fathers increased more psychological distress if they reduced work hours but she did not, compared to neither reducing work hours. Conclusion There are continued gender inequalities in divisions of unpaid care work. Juggling home working with homeschooling and childcare as well as extra housework is likely to lead to poor mental health for people with families, particularly for lone mothers.}, - langid = {english} + langid = {english}, + keywords = {cite::channels,inequality::gender,inequality::health,out::abstract} } @article{Yari2021, @@ -50203,7 +51880,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} doi = {10.1186/s12889-021-11791-9}, urldate = {2023-11-20}, abstract = {Abstract Introduction Domestic violence (social, legal, and health violence) is the most common type of violence against women. Due to factors such as the current quarantine, this type of violence has increased during the COVID-19 pandemic. The present study aimed to assess the frequency of domestic violence against women and identify the risk factor among Iranian women during the COVID-19 pandemic. Methods This online cross-sectional study was conducted on 203 Iranian women during May{\textendash}June 2020. Data were collected using a domestic violence questionnaire, which measured three forms of violence, including physical, emotional, and sexual violence. A link of the questionnaire was distributed among anonymous subjects through social networking apps, such as WhatsApp and Telegram. The subjects were asked to complete the questionnaire based on their experiences during the COVID-19 pandemic. Data analysis was performed using descriptive statistics and a regression model. Results The descriptive results showed that the mean domestic violence against women in all the participants was 34.9 (SD: 17.28). In addition, 26.6\% ( n \,=\,84), 26.1\% ( n \,=\,53), and 21.2\% of the subjects ( n \,=\,43) experienced high levels of physical, emotional, and sexual violence during the COVID-19 pandemic, respectively. The regression model also indicated that lower age, illiteracy/primary education, previous marriage(s), and unwanted/unwise marriage were the significant risk factors for domestic violence against women. Conclusion According to the results, domestic violence against women is common among Iranian women during the COVID-19 pandemic. Therefore, strategies are urgently needed to prevent and minimize such domestic violence, and such strategies could be adopted through providing educational opportunities, raising awareness, promoting wanted/wise marriage, and providing social support and rehabilitation opportunities to vulnerable social groups, especially vulnerable women.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Yelin2000, @@ -50218,7 +51896,9 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} issn = {0004-3591, 1529-0131}, doi = {10.1002/1529-0131(200006)13:3<168::AID-ANR6>3.0.CO;2-R}, urldate = {2023-11-24}, - langid = {english} + abstract = {Objective To provide estimates of the frequency with which persons 51 to 61 years of age with musculoskeletal conditions receive workplace accommodations from their employers and to determine if the receipt of such accommodations is associated with higher rates of employment two years later. Methods The estimates derive from the Health and Retirement Survey, a national probability sample of 8,781 respondents who were interviewed both in 1992 and 1994 and who were between the ages of 51 and 61 years, of whom 5,495 reported one or more musculoskeletal conditions. We tabulated the frequency of accommodations provided in 1992 and then estimated the impact of accommodations and demographic and medical characteristics on 1994 employment status, using logistic regression. Results In 1992, about 14.40 million persons aged 51{\textendash}61 years reported a musculoskeletal condition. Of these, 1.32 million (9.2\%) reported a disability and were employed, the target population for accommodations. Overall, fewer than 1 in 5 persons with musculoskeletal conditions who had a disability and were employed indicated that they had received any form of accommodation on their current jobs. Although no form of accommodation was reported with great frequency, the most commonly used ones included getting someone to help do one's job (12.1\%), scheduling more breaks during the work day (9.5\%), changing the time that the work day started and stopped (6.3\%), having a shorter work day (5.6\%), getting special equipment (5.3\%), and changing the work tasks (5.3\%). Persons with one or more accommodations in 1992, however, were no more likely to be working in 1994 than those with none. Only one specific accommodation{\textemdash}getting someone to help do one's job{\textemdash}was associated with a higher rate of employment in 1994. Conclusions Receipt of employment accommodations occurred infrequently, and was not generally associated with an improvement in the employment rate of persons with musculoskeletal conditions and disabilities.}, + langid = {english}, + keywords = {out::abstract} } @article{Yerkes2020, @@ -50236,7 +51916,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} doi = {10.1371/journal.pone.0242249}, urldate = {2023-11-20}, abstract = {Objective The COVID-19 pandemic is more than a public health crisis. Lockdown measures have substantial societal effects, including a significant impact on parents with (young) children. Given the existence of persistent gender inequality prior to the pandemic, particularly among parents, it is crucial to study the societal impact of COVID-19 from a gender perspective. The objective of this paper is to use representative survey data gathered among Dutch parents in April 2020 to explore differences between mothers and fathers in three areas: paid work, the division of childcare and household tasks, and three dimensions of quality of life (leisure, work-life balance, relationship dynamics). Additionally, we explore whether changes take place in these dimensions by comparing the situation prior to the lockdown with the situation during the lockdown. Method We use descriptive methods (crosstabulations) supported by multivariate modelling (linear regression modelling for continuous outcomes; linear probability modelling (LPM) for binary outcomes (0/1 outcomes); and multinomial logits for multinomial outcomes) in a cross-sectional survey design. Results Results show that the way in which parents were impacted by the COVID-19 pandemic reflects a complex gendered reality. Mothers work in essential occupations more often than fathers, report more adjustments of the times at which they work, and experience both more and less work pressure in comparison to before the lockdown. Moreover, mothers continue to do more childcare and household work than fathers, but some fathers report taking on greater shares of childcare and housework during the lockdown in comparison to before. Mothers also report a larger decline in leisure time than fathers. We find no gender differences in the propensity to work from home, in perceived work-life balance, or in relationship dynamics. Conclusion In conclusion, we find that gender inequality in paid work, the division of childcare and household work, and the quality of life are evident during the first lockdown period. Specifically, we find evidence of an increase in gender inequality in relation to paid work and quality of life when comparing the situation prior to and during the lockdown, as well as a decrease in gender inequality in the division of childcare and household work. We conclude that the unique situation created by restrictive lockdown measures magnifies some gender inequalities while lessening others. Discussion The insights we provide offer key comparative evidence based on a representative, probability-based sample for understanding the broader impact of lockdown measures as we move forward in the COVID-19 pandemic. One of the limitations in this study is the cross-sectional design. Further study, in the form of a longitudinal design, will be crucial in investigating the long-term impact of the COVID-19 pandemic on gender inequality.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Yilmaz2011, @@ -50267,7 +51948,9 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} issn = {1054139X}, doi = {10.1016/j.jadohealth.2021.07.037}, urldate = {2023-11-20}, - langid = {english} + abstract = {Purpose The study projects the potential impact of COVID-19 on child marriage in the five countries in which the burden of child marriage is the largest: Bangladesh, Brazil, Ethiopia, India, and Nigeria. Methods The projected impact of the pandemic on child marriage is based on a Markov model. A review of empirical and theoretical literature informed construction and parameter estimates of five pathways through which we expect an elevated marriage hazard: death of a parent, interruption of education, pregnancy risk, household income shocks, and reduced access to programs and services. Models are produced for an unmitigated scenario and a mitigated scenario in which effective interventions are applied to reduce the impact. Results The total number of excess child marriages in these five countries could range from 3.5 million to 4.9 million in the unmitigated scenario and from 1.8 million to 2.7 million in the mitigated scenario. The elevated risk compared with the baseline projection would continue until 2035. Conclusions These projections represent the impact in five countries that account for 50\% of child marriages globally, implying that if similar patterns hold, we might expect the number of excess child marriages due to the pandemic to reach 7 million to 10 million globally. These estimates are necessarily subject to high levels of uncertainty because of limited evidence on the impacts in relation to child marriage and for parameter estimates. It will likely take years to understand the full impact of the pandemic. Despite these limitations, the potential for harm is unquestionably large.}, + langid = {english}, + keywords = {out::title} } @article{Yusuf2015, @@ -50282,7 +51965,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} doi = {10.2298/JAS1501061Y}, urldate = {2023-11-20}, abstract = {Agriculture is an important tool for reducing the effects of household food insecurity, unemployment and poverty which are major problems in urban areas in Nigeria. Food insecurity continues to worsen in some urban areas of the country and many households resulted into urban farming as a means of coping. The study investigated the effect of urban household farming on food security status in Ibadan metropolis, Oyo State, Nigeria. Primary data was collected for the study using structured questionnaire. Two-stage sampling technique was employed for this study. The first stage involved the random selection of two urban local government areas from Ibadan metropolis. This was followed with the selection of 110 urban farming households from these local government areas. Data were analysed using descriptive statistics, Foster-Greer-Thorbecke and probit regression. Results showed that sex, years of schooling, marital status, household size, access to extension agent, hired labour and type of farming enterprises are determinants of food security. The study recommends the policies that make extension services accessible to urban farmers and also skills development among others. , nema}, - langid = {english} + langid = {english}, + keywords = {inequality::poverty,out::title} } @article{Zantinge2014, @@ -50298,7 +51982,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} issn = {1464-360X, 1101-1262}, doi = {10.1093/eurpub/ckt157}, urldate = {2023-11-24}, - langid = {english} + langid = {english}, + keywords = {inequality::age,out::title,review::narrative} } @article{Zeinali2019, @@ -50314,7 +51999,9 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} issn = {1478-4491}, doi = {10.1186/s12960-019-0367-3}, urldate = {2023-11-24}, - langid = {english} + abstract = {There has been a welcome emphasis on gender issues in global health in recent years in the discourse around human resources for health. Although it is estimated that up to 75\% of health workers are female (World Health Organization, Global strategy on human resources for health: Workforce 2030, 2016), this gender ratio is not reflected in the top levels of leadership in international or national health systems and global health organizations (Global Health 50/50, The Global Health 50/50 report: how gender responsive are the world's leading global health organizations, 2018; Clark, Lancet, 391:918{\textendash}20, 2018). This imbalance has led to a deeper exploration of the role of women in leadership and the barriers they face through initiatives such as the WHO Global Strategy on Human Resources for Health: Workforce 2030, the UN High Level Commission on Health Employment and Economic Growth, the Global Health 50/50 Reports, Women in Global Health, and \#LancetWomen. These movements focus on advocating for increasing women's participation in leadership. While efforts to reduce gender imbalance in global health leadership are critical and gaining momentum, it is imperative that we look beyond parity and recognize that women are a heterogeneous group and that the privileges and disadvantages that hinder and enable women's career progression cannot be reduced to a shared universal experience, explained only by gender. Hence, we must take into account the ways in which gender intersects with other social identities and stratifiers to create unique experiences of marginalization and disadvantage.}, + langid = {english}, + keywords = {inequality::gender,inequality::health,out::abstract} } @incollection{Zeinali2022, @@ -50330,7 +52017,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} doi = {10.1007/978-3-030-84498-1_18}, urldate = {2023-11-24}, isbn = {978-3-030-84497-4 978-3-030-84498-1}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Zhang1993, @@ -50345,7 +52033,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} issn = {01651765}, doi = {10.1016/0165-1765(93)90181-B}, urldate = {2023-11-24}, - langid = {english} + langid = {english}, + keywords = {issue::age,out::year} } @article{Zhao2016a, @@ -50371,7 +52060,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} unique-id = {WOS:000382765200006}, usage-count-last-180-days = {5}, usage-count-since-2013 = {52}, - web-of-science-categories = {Green \& Sustainable Science \& Technology; Environmental Studies; Transportation} + web-of-science-categories = {Green \& Sustainable Science \& Technology; Environmental Studies; Transportation}, + keywords = {TODO::abstract} } @article{Zhuo2020, @@ -50388,7 +52078,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} doi = {10.1136/gpsych-2020-100260}, urldate = {2023-11-20}, abstract = {Backgroud COVID-19 pandemic has significantly affected the sleep health of local medical and nursing staff. Aim We used wearable pulse oximeters to monitor and screen the medical and nursing staff working in hospitals designated for COVID-19 in the Wuhan area. This study aimed to establish a reliable basis to provide sleep intervention for the medical and nursing staff. Methods Thirty medical and nursing staff members with symptoms of insomnia were instructed to wear medical ring-shaped pulse oximeters to monitor their sleep overnight. We also used the Insomnia Severity Index (ISI) and the Chinese version of the Self-Reporting Questionnaire (SRQ-20) to evaluate the severity of insomnia and mental health status, respectively, for each participant. Results Among the 30 participants, only 26 completed the screening. Ten cases (38.5\%) demonstrated moderate to severe sleep apnoea{\textendash}hypopnea syndrome (SAHS) when using an oxygen desaturation index {$\geq$}15 times/hour as the cut-off value. Participants with comorbid moderate to severe SAHS had significantly higher ISI and SRQ scores (p values 0.034 and 0.016, respectively) than those in the insomnia group. Correlation analysis revealed that ISI was positively correlated with total sleep time (TST) (r=0.435, p=0.026), and negatively correlated with deep sleep (r=-0.495, p=0.010); furthermore, patient SRQ scores were positively correlated with TST, sleep efficiency (SE) and REM (rapid eyes movement) sleep \% (r=0.454 and 0.389, 0.512; p=0.020, 0.050 and 0.008, respectively). Stepwise logistic regression indicated that SRQ-20 and sex were risk factors for insomnia with comorbid SAHS, and their OR values were 1.516 and 11.56 (95\% CI 1.053 to 2.180 and 1.037 to 128.9), respectively. Conclusion Medical and nursing staff with insomnia showed clear signs of comorbid sleep apnoea attributable to stress. The wearable pulse oximeters accurately monitored the participants' breathing when asleep.}, - langid = {english} + langid = {english}, + keywords = {out::title} } @article{Zins2011, @@ -50447,7 +52138,8 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} pages = {1110}, issn = {2078-5135, 0256-9574}, doi = {10.7196/SAMJ.2020.v110i11.15124}, - urldate = {2023-11-20} + urldate = {2023-11-20}, + keywords = {out::title} } @article{Zubayer2020, @@ -50463,7 +52155,9 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} issn = {24058440}, doi = {10.1016/j.heliyon.2020.e05057}, urldate = {2023-11-20}, - langid = {english} + abstract = {Background The COVID-19 pandemic essentially imposes psychological effects on people. As the pandemic progresses, people experience psychological trauma gradually, which can change over time. The present study aimed to assess the prevalence of depression, anxiety, and stress among Bangladeshi people four months after the COVID-19 outbreak. Methods An online cross-sectional survey was conducted among Bangladeshi citizens aged {$\geq$}18 years from June 1 to June 10, 2020. The participants completed an online questionnaire examining socio-demographic variables and COVID-19 related factors, along with the Depression Anxiety and Stress Scale 21. A total of 1146 respondents have been included in the study. Data were analyzed using the Statistical Package for Social Sciences, IBM Statistics version 22.0. Results The prevalence of moderate to the extremely severe levels of depression, anxiety, and stress was 47.2\%, 46.0\%, and 32.5\%, respectively, with no significant gender differences. The prevalence of anxiety and stress was significantly higher in participants aged {$>$}30 than in participants aged 18{\textendash}30 years. Daily follow up COVID-19 related news, having COVID-19 symptoms so far, having contact (direct or indirect) with COVID-19 infected person, and fear of infection were significantly associated with depression, anxiety, and stress. Conclusions Sizable proportions of participants had depression, anxiety and stress four months after the COVID-19 outbreak in Bangladesh. The findings of this study underscores the need for strategies aimed at reducing these psychological sufferings in Bangladeshi people in the context of COVID-19.}, + langid = {english}, + keywords = {out::title} } @article{Zulaika2022, @@ -50479,5 +52173,6 @@ looks at gender gaps on modern Fordist/early Taylorist working environment} doi = {10.1136/bmjgh-2021-007666}, urldate = {2023-11-20}, abstract = {Introduction Secondary school closures aimed at limiting the number of infections and deaths due to COVID-19 may have amplified the negative sexual and reproductive health (SRH) and schooling outcomes of vulnerable adolescent girls. This study aimed to measure pandemic-related effects on adolescent pregnancy and school dropout among school-going girls in Kenya. Methods We report longitudinal findings of 910 girls in their last 2 years of secondary school. The study took place in 12 secondary day schools in rural western Kenya between 2018 and 2021. Using a causal-comparative design, we compared SRH and schooling outcomes among 403 girls who graduated after completion of their final school examinations in November 2019 pre-pandemic with 507 girls who experienced disrupted schooling due to COVID-19 and sat examinations in March 2021. Unadjusted and adjusted generalised linear mixed models were used to investigate the effect of COVID-19-related school closures and restrictions on all outcomes of interest and on incident pregnancy. Results At study initiation, the mean age of participants was 17.2 (IQR: 16.4{\textendash}17.9) for girls in the pre-COVID-19 cohort and 17.5 (IQR: 16.5{\textendash}18.4) for girls in the COVID-19 cohort. Girls experiencing COVID-19 containment measures had twice the risk of falling pregnant prior to completing secondary school after adjustment for age, household wealth and orphanhood status (adjusted risk ratio (aRR)=2.11; 95\% CI:1.13 to 3.95, p=0.019); three times the risk of school dropout (aRR=3.03; 95\% CI: 1.55 to 5.95, p=0.001) and 3.4 times the risk of school transfer prior to examinations (aRR=3.39; 95\% CI: 1.70 to 6.77, p=0.001) relative to pre-COVID-19 learners. Girls in the COVID-19 cohort were more likely to be sexually active (aRR=1.28; 95\% CI: 1.09 to 1.51, p=0.002) and less likely to report their first sex as desired (aRR=0.49; 95\% CI: 0.37 to 0.65, p{$<$}0.001). These girls reported increased hours of non-school-related work (3.32 hours per day vs 2.63 hours per day in the pre-COVID-19 cohort, aRR=1.92; 95\% CI: 1.92 to 2.99, p=0.004). In the COVID-19 cohort, 80.5\% reported worsening household economic status and COVID-19-related stress was common. Conclusion The COVID-19 pandemic deleteriously affected the SRH of girls and amplified school transfer and dropout. Appropriate programmes and interventions that help buffer the effects of population-level emergencies on school-going adolescents are warranted. Trial registration number NCT03051789 .}, - langid = {english} + langid = {english}, + keywords = {out::title} }