chore(notes): Update tables and term lists

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+|             | most recent publication of study                                             | gray literature superseded by white literature publication                |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 |
@@ -418,7 +419,8 @@ Tagging:
 | 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) |
+| 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)                                   |
@@ -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
+### LM outcome 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
 
 - 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