Women's Transnational Activism, Norm Cascades, and Quota Adoption in The Developing World
Why this work is in the frame
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Bibliographic record
Abstract
Electoral quotas are a key factor in increasing women's political representation in parliaments globally. Despite the strong effects of quotas, less attention has been paid to the factors that prompt countries to adopt electoral quotas across developing countries. This article employs event history modeling to analyze quota adoption in 134 developing countries from 1987 to 2012, focusing on quota type, transnational activism, and norm cascades. The article asks the following questions: (1) How might quota adoption differ according to quota type—nonparty versus party quotas? (2) How has the 1995 Fourth World Conference on Women in Beijing, China (Beijing 95), contributed to quota diffusion? (3) Do global, regional, or neighboring country effects contribute more to quota adoption? Results provide new evidence of how quota adoption processes differ according to quota type, the central role played by participation in Beijing 95, and how increased global counts contribute to faster nonparty quota adoption while increased neighboring country counts lead to faster to party quota adoption.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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