Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Increasing levels of democratic freedoms should, in theory, improve women’s access to political positions. Yet studies demonstrate that democracy does little to improve women’s legislative representation. To resolve this paradox, we investigate how variations in the democratization process—including pre-transition legacies, historical experiences with elections, the global context of transition, and post-transition democratic freedoms and quotas—affect women’s representation in developing nations. We find that democratization’s effect is curvilinear. Women in non-democratic regimes often have high levels of legislative representation but little real political power. When democratization occurs, women’s representation initially drops, but with increasing democratic freedoms and additional elections, it increases again. The historical context of transition further moderates these effects. Prior to 1995, women’s representation increased most rapidly in countries transitioning from civil strife—but only when accompanied by gender quotas. After 1995 and the Beijing Conference on Women, the effectiveness of quotas becomes more universal, with the exception of post-communist countries. In these nations, quotas continue to do little to improve women’s representation. Our results, based on pooled time series analysis from 1975 to 2009, demonstrate that it is not democracy—as measured by a nation’s level of democratic freedoms at a particular moment in time—but rather the democratization process that matters for women’s legislative representation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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