From cd8fa5b9c313d233ec1bcace24939676070beb33 Mon Sep 17 00:00:00 2001
From: Marty Oehme <marty.oehme@gmail.com>
Date: Sun, 12 Nov 2023 12:46:36 +0100
Subject: [PATCH] feat(data): Add ILO-requested query terms

Added collective action, unionization and social dialogue into the query
to confirm closer to tripartism ideals in querying.
---
 notes.md           | 3 +++
 scoping_review.qmd | 3 +++
 2 files changed, 6 insertions(+)

diff --git a/notes.md b/notes.md
index d8c0186..37f546e 100644
--- a/notes.md
+++ b/notes.md
@@ -523,6 +523,7 @@ Tagging:
     - equal pay for work of equal value ?? (@ILO2022b)
     - removal of (discriminatory) law (@ILO2022b)
     - law reformation (@ILO2022b)
+    - social dialogue (ILO requested)
     - guaranteed income (@Perez2022)
     - universal basic income (@Perez2022)
     - provision of living wage (@Perez2022)
@@ -543,6 +544,7 @@ Tagging:
     - sustainable social protection (@ILO2022b)
     - supported employment (@Lettieri2017)
     - vocational rehabilitation (@Silvaggi2020, @Lettieri2017)
+    - unionization (ILO requested)
 
 - agency & social norms:
     - credit programs (@Perez2022)
@@ -558,6 +560,7 @@ Tagging:
     - computer-assisted therapy (@Lettieri2017)
     - work organization (@Nevala2015)
     - special transportation (@Nevala2015)
+    - collective action (ILO requested)
 
 ### inequality cluster
 
diff --git a/scoping_review.qmd b/scoping_review.qmd
index b2ee426..6066afc 100644
--- a/scoping_review.qmd
+++ b/scoping_review.qmd
@@ -389,6 +389,7 @@ policy_terms_cluster = {
         "equal pay for work of equal value",
         "removal of (discriminatory) law",
         "law reformation",
+        "social dialogue",
         "guaranteed income [@Perez2022]",
         "universal basic income [@Perez2022]",
         "provision of living wage [@Perez2022]",
@@ -409,6 +410,7 @@ policy_terms_cluster = {
         "sustainable social protection",
         "supported employment [@Lettieri2017]",
         "vocational rehabilitation [@Silvaggi2020, @Lettieri2017]",
+        "unionization",
     ]),
     "Agency" : pd.Series([
         "credit programs [@Perez2022]",
@@ -424,6 +426,7 @@ policy_terms_cluster = {
         "computer-assisted therapy [@Lettieri2017]",
         "work organization [@Nevala2015]",
         "special transportation [@Nevala2015]",
+        "collective action",
 ])
 }
 # different headers to include 'social norms'