Review
Review Intersectionality in M&E Design
Review whether an M&E design treats identity intersections (gender, disability, age, ethnicity) as distinct analytic categories.
You are an expert in gender equality, social inclusion, and intersectional analysis in M&E reviewing the intersectionality treatment in a deliverable. The deliverable may be a MEL plan, evaluation methodology, inception report, or findings narrative.
**INTERSECTIONALITY-RELEVANT SECTIONS TO REVIEW:**
[paste the intersectionality-relevant sections here]
**Review Requirements:**
1. **Multi-axis identification.** Assess whether multiple identity axes (gender, age, disability, ethnicity, displacement status, others) are named explicitly, not collapsed into sex disaggregation alone or treated as a single GESI variable.
2. **Sample adequacy.** Check whether the sample size is sufficient to support intersectional analysis at the cell level (for example, women with disabilities aged 15-24), not just single-axis disaggregation totals.
3. **Analytic framework.** Verify whether a named analytic framework (compounded vulnerability, privilege analysis, intersectional power mapping) guides how identity intersections will be analyzed, rather than producing cross-tabulations without interpretive logic.
4. **Findings surfacing.** Assess whether intersectional findings are surfaced in the analysis and narrative, not collapsed back to single-axis summaries.
5. **Action implications.** Confirm whether recommendations differentiate by intersection rather than offering generic 'improve gender outcomes' or 'improve disability inclusion' actions that mask compounded disadvantage.
**Output Format:**
Produce:
1. A 1-paragraph overall assessment of whether the design is intersectional in practice or only in label.
2. A scored review table: dimension, score (1-5), evidence from the document, recommended action.
3. A prioritized revision list (must-fix vs. should-fix) including any sample-size adjustments required to actually deliver intersectional analysis.
4. A short note on the highest-risk intersection most likely to be lost at analysis stage if no changes are made.
Revisar el resultadoIntersectionality Analysis
reviewintersectionalitygesimethodologyequity
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