chore(script): Change methodology and inequalities headlines

scoping_review.qmd

@@ -321,10 +321,12 @@ Addressing these inequalities, in turn, is just as important to reducing inequal
 For pre-existing inequalities, it will be especially important to understand the often delayed and more opaque nature of the roots of many outcomes, with channel being more difficult to identify and clearly label – especially in an intersectional context.
 These five dimensions of inequalities – income inequality, gender inequality, socio-demographic inequality, spatial inequality and pre-existing inequalities – will thus provide the categorical anchors along which the reviewed studies will be analysed for their policy effects, each with a slightly different focus in linkages between inequality, policy and outcome.
 
-# The search protocol
+# Methodology and data
 
 {{++ TODO: besides scoping, introduce systematic review considerations applicable: Cochrane, PRISMA ++}}
 
+## The search protocol
+
 This section will discuss the systematic scoping review methodology that is proposed to conduct the review of the literature on policy interventions that are expected to address inequalities in forms of work and labour market outcomes.
 Unlike purely systematic reviews which typically focus on specific policy questions and interventions, systematic scoping reviews focus on a wider spectrum of policies, where different study designs and research questions can be investigated.
 Since scoping reviews allow both broad and in-depth analyses, they are the most appropriate rigorous method to make a synthesis of the current evidence in this area [@Arksey2005].
@@ -466,7 +468,7 @@ flowchart TD;
 All relevant data concerning both their major findings and statistical significance are then extracted from the individual studies into a collective results matrix.
 The results to be identified in the matrix include a study’s: i) key outcome measures (dependent variables), ii) main findings, iii) main policy interventions (independent variables), iv) study design and sample size, v) dataset and methods of evaluation, vi) direction of relation and level of representativeness, vii) level of statistical significance, viii) main limitations.
 
-## Description of results
+## Data
 
 ```{python}
 #| echo: false
@@ -624,6 +626,9 @@ many studies use income measurements and changes in income or income inequality
 This section will present a synthesis of evidence from the scoping review.
 The section will also present a discussion on the implications of the current evidence base for policy and underscore key knowledge gaps.
 
+One of the primary lenses through which policy interventions to reduce inequalities in the world of work are viewed is that of income inequality, often measured for all people throughout a country or subsets thereof.
+At the same time, the primacy of income should not be overstated as disregarding the intersectional nature of inequalities may lead to adverse targeting or intervention outcomes, as can be seen in the following studies on policies to increase overall income equality.
+
 Since policies employed in the pursuit of increased equality can take a wide form of actors, strategy approaches and implementation details,
 the following synthesis will first categorize between the main thematic area and its associated interventions,
 which are then distinguished between for their primary outcome inequalities.
@@ -876,10 +881,9 @@ here, it finds generally positive returns but greatest for non-agricultural work
 Importantly, the introduction of more technical classes, however, also changes employment sector choices, with men working less in agricultural work and more in non-farm wage sectors and an increased probability for rural women to both work in agriculture and to work formally.
 Limitations of the study include the inability to directly identify intervention compliers and having to construct returns for each household head only and a possibly unobserved 'villagization' effect by bringing people together in community villages for their education leading to other unobserved variable impacting the returns.
 
-## Income inequality through a vertical lens
+# Results for inequalities
 
-One of the primary lenses through which policy interventions to reduce inequalities in the world of work are viewed is that of income inequality, often measured for all people throughout a country or subsets thereof.
-At the same time, the primacy of income should not be overstated as disregarding the intersectional nature of inequalities may lead to adverse targeting or intervention outcomes, as can be seen in the following studies on policies to increase overall income equality.
+## Income inequality through a vertical lens
 
 {{++ insert regional breakdown++}}