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