The Substantive Representation of Women and PR: Some Reflections on the Role of Surrogate Representation and Critical Mass
Bibliographic record
Abstract
Yesterday's suffragists and today's female activists who call for more women to be elected to parliament share some ideological grounds: They believe that women exercising the rights of citizenship, whether by voting or by being elected to office, can make a difference in politics. This reasoning was fed by the notion of critical mass, introduced in the political debates in 1988 by Drude Dahlerup. Elevated to lawlike status (or should I say dogma?), the concept of critical mass was quickly made the object of abusive interpretations, becoming synonymous with a relationship of cause and effect between presence and ideas (or between representation and responsiveness), and thus leading one to believe in the existence of a sisterhood among political women and a dialogue on their representational activities. Taking a leaf from the politicians' book, political scientists lost all prudence, abandoning themselves to blind generalizations with the powers that frame female politicians' words and acts. One of these forces is the electoral system. Although it plays a very important role in women's access to parliament, it was completely ignored by those who believe that in greater number, women will change politics.
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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 | 0.025 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.017 | 0.090 |
| Scholarly communication | 0.019 | 0.017 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.014 | 0.018 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".