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refactor(script): Move intervention type vis to synthesis

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Marty Oehme 2024-02-15 16:34:10 +01:00
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scoping_review.qmd
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@ -553,9 +553,16 @@ Should they point towards gaps (or over-optimization) of specific areas of inter
<!-- {{++ TODO: Add breakdown by thematic area++}} -->
<!-- {{++ TODO: describe intervention types with complete dataset ++}} -->
# Synthesis: A multitude of lenses
This section will present a synthesis of evidence from the scoping review,
analysing the main findings per policy area, as well as underscore individual studies' approaches and limitations.
```{python}
#| label: fig-intervention-types
#| fig-cap: Predominant type of intervention
#| fig-cap: Available studies by primary type of intervention
by_intervention = (
bib_df.groupby(["author", "year", "title", "design", "method", "representativeness", "citation"])
@ -583,17 +590,9 @@ plt.setp(ax.get_xticklabels(), rotation=45, ha="right",
plt.show()
```
@fig-intervention-types shows the most often analysed interventions for the literature reviewed.
Overall, there is a focus on measures of minimum wage and education interventions,
as well as collective action, subsidies, trade liberalization changes and training.
This points to a spread capturing both institutional, as well as structural and agency-driven programmes.
<!-- {{++ TODO: describe intervention types with complete dataset ++}} -->
# Synthesis: A multitude of lenses
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.
@fig-intervention-types shows the predominant interventions for the literature reviewed.
Overall, there is a focus on measures of minimum wage, subsidisation, considerations of trade liberalisation and training.
The overall spread of interventions captures primarily institutional and structural, but also agency-driven programmes.
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.