From 253870edc7824f6c4c5fd0d780b1d6ff2d046586 Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Thu, 12 Oct 2023 12:27:12 +0200 Subject: [PATCH] chore(notes): Update tables and term lists --- notes.md | 110 +++++++++++++++++++++++++++++++++---------------------- 1 file changed, 66 insertions(+), 44 deletions(-) diff --git a/notes.md b/notes.md index d1119aa..823067c 100644 --- a/notes.md +++ b/notes.md @@ -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piece, editorial, commentary, news article, literature review | +| | most recent publication of study | gray literature superseded by white literature publication | | Study focus | inequality or labour market outcomes as primary outcome (dependent variable) | neither inequality nor labour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