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chore(notes): Update tables and term lists

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@ -375,7 +375,8 @@ Policy *areas*, identified by @ILO2022b:
| --- | --- | --- |
| Language | study written in English | study not written in English |
| Time frame | study published in or after 2000 | study published before 2000 |
| Study type | primary research, literature review | opinion piece, editorial, commentary, news article |
| Study type | primary research | opinion piece, editorial, commentary, news article, literature review |
| | most recent publication of study | gray literature superseded by white literature publication |
| Study focus | inequality or labour market outcomes as primary outcome (dependent variable) | neither inequality nor labour market outcomes as dependent variable |
| | policy measure or strategy as primary intervention (independent variable) | no policy measure/strategy as intervention or relationship unclear |
| | specifically relates to some dimension of world of work | exists outside world of work for both independent and dependent variables |
@ -412,16 +413,17 @@ Tagging:
| url/doi | |
| ?discipline? | The overall discipline the study falls under |
| Context info | Description |
| --- | --- |
| country | What is the primary/are the primary country/countries under analysis in the study? (set:txt) |
| country_world_region | Which ILO region does the country belong to? (set:txt) |
| country_income_class | Which UN Bank income category does the country belong to? (set:txt) |
| period_of_analysis | What is the main period of analysis for the study (in years, e.g. 2010-2012)? (timedelta) |
| length_of_study | What is the main length of observation for the study, if mentioned (in months, e.g. 14 months)? (timedelta) |
| explicit_targeting | is intervention specifically (explicitly) targeted at population/group? (bool:0/1) |
| target_group | who is the intervention targeted at (explicitly/implicitly)? (list:txt) |
| data | What dataset/database/collection does the data stem from, if mentioned? (list:txt) |
| Context info | Description |
| --- | --- |
| country | What is the primary/are the primary country/countries under analysis in the study? (set:txt) |
| country_world_region | Which ILO region does the country belong to? (set:txt) |
| country_income_class | Which UN Bank income category does the country belong to? (set:txt) |
| period_of_analysis | What is the main period of analysis for the study (in years, e.g. 2010-2012)? (timedelta) |
| observation_length | What is the main length of observation for the study, if mentioned (in months)? (timedelta) |
| observation_length_max | What is the max length of observation for the study, if it diverges from the average length (in months)? (timedelta) |
| explicit_targeting | is intervention specifically (explicitly) targeted at population/group? (bool:0/1) |
| target_group | who is the intervention targeted at (explicitly/implicitly)? (list:txt) |
| data | What dataset/database/collection does the data stem from, if mentioned? (list:txt) |
| Results info | Description |
| --- | --- |
@ -448,6 +450,7 @@ Tagging:
| significance | What is the main level of statistical significance? (2: significant, 1: marginally significant, 0: non significant) |
- annotation, quick 100-300wd written summary of major properties found above for each study
-> ~34 observations per study
## Search Term clusters
@ -478,35 +481,7 @@ Tagging:
- formality
- (unpaid) care work
### inequality cluster
- ILO:
- inequality/-ies
- barrier(s)
- (dis)advantaged
- discriminated
- disparity/-ies
- horizontal / vertical inequality
### vertical inequalities cluster
- ILO/UN [@DFI2023]
- income:
- Palma ratio
- Gini coefficient
### horizontal inequalities cluster
- ILO:
- visible identity
- demographic inequalities
- gender, colour or beliefs
- racial, ethnic inequalities
- migrants and nationals
- spatial inequalities (rural/urban/large mega-cities/small/peripheral cities)
- gender, age, nationality, ethnicity, health status, disability, characteristics
### outcome cluster
### LM outcome cluster
- ILO:
- employment outcomes
@ -526,16 +501,16 @@ Tagging:
- labour force exit
- retrurning to work issues
### policy cluster
### intervention cluster
- general terms:
- intervention (@ILO2022b)
- policy (@ILO2022b)
- participation (@ILO2022b)
- targeting/targeted (@ILO2022b)
- distributive (@ILO2022b)
- equitable income dist (@ILO2022b)
- redistributive (@ILO2022b)
- regulatory (@ILO2022b)
### policy cluster
- institutional promotion:
- institutional support for childcare (@Perez2022)
@ -584,6 +559,53 @@ Tagging:
- work organization (@Nevala2015)
- special transportation (@Nevala2015)
### inequality cluster
- ILO:
- inequality/-ies
- barrier(s)
- (dis)advantaged
- discriminated
- disparity/-ies
- horizontal / vertical inequality
### vertical inequalities cluster
- income:
- Palma ratio [@DFI2023]
- Gini coefficient [@DFI2023]
- class @Kalasa2021
- fertility @Kalasa2021
- NOT identified by previous reviews, need to find sources:
- bottom percentile
- top percentile
### horizontal inequalities cluster
identified by ILO:
- identity
- demographic inequalities
- demographic markers
- gender
- colour
- beliefs
- racial
- ethnic
- migrant
- spatial
- rural
- urban
- mega-cities
- small cities
- peripheral cities
- age
- nationality
- ethnicity
- health status
- disability
- characteristics
# Notes on previous reviews
## Perez2022