Reforming Representation: The Diffusion of Candidate Gender Quotas Worldwide
Bibliographic record
Abstract
In recent years, more than a hundred countries have adopted quotas for the selection of female candidates to political office. Examining individual cases of quota reform, scholars offer four basic causal stories to explain quota adoption: Women mobilize for quotas to increase women's representation, political elites recognize strategic advantages for supporting quotas, quotas are consistent with existing or emerging notions of equality and representation, and quotas are supported by international norms and spread through transnational sharing. Although most research focuses on the first three accounts, I argue that the fourth offers the greatest potential for understanding the rapid diffusion of gender quota policies, as it explicitly addresses the potential connections among quota campaigns. In a theory-building exercise, I combine empirical work on gender quotas with insights from the international norms literature to identify four distinct international and transnational influences on national quota debates: international imposition, transnational emulation, international tipping, and international blockage. These patterns reveal that domestic debates often have international and transnational dimensions, at the same time that they intersect in distinct ways with international and transnational trends. As work on gender quotas continues to grow, therefore, I call on scholars to move away from simple accounts of diffusion to a recognition of the multiple processes shaping the spread of candidate gender quotas worldwide.I would like to thank Judith Squires, Sarah Childs, Ewan Harrison, and participants in the Institute for Social and Economic Research and Policy Graduate Fellows Workshop at Columbia University, as well as the editors and three anonymous reviewers at Politics & Gender, for their helpful comments. Earlier versions of this article were presented as a paper at the International Studies Association Annual International Convention, Montreal, Canada, March 17–20, 2004, and at the British International Studies Association Annual Conference, University of Warwick, Coventry, UK, December 20–22, 2004.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.027 | 0.077 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.012 |
| Scholarly communication | 0.010 | 0.013 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".