Democratization, Women's Movements, and Gender-Equitable States: A Framework for Comparison
Why this work is in the frame
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Bibliographic record
Abstract
There is a rich collection of case studies examining the relationship between democratization, women's movements, and gendered state outcomes, but the variation across cases is still poorly understood. In response, this article develops a theoreticallygrounded comparative framework to evaluate and explain cross-national variations in the gendered outcomes of democratic transitions. The framework highlights four theoretical factors—the context of the transition, the legacy of women's previous mobilizations, political parties, and international influences—that together shape the political openings and ideologies available to women's movements in transitional states. Applying the framework to four test cases, we conclude that women's movements are most effective at targeting democratizing states when transitions are complete, when women's movements develop cohesive coalitions, when the ideology behind the transition (rather than the ideology of the winning regime) aligns easily with feminist frames, and when women's past activism legitimates present-day feminist demands. These findings challenge current conceptualizations of how democratic transitions affect gender in state institutions and provide a comparative framework for evaluating variation across additional cases.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it