A Gender Gap in Party Congruence and Responsiveness?
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
Abstract Congruence and responsiveness between the policy preferences of citizens and elites are considered key characteristics of democracy. Although these relationships between citizens and elites have been thoroughly examined, little attention has been devoted to differences in the representation of women and men in studies of congruence and responsiveness. Herein, I evaluate the presence of a gender gap both in terms of party congruence and party responsiveness with respect to the relationship between female and male supporters and the party they voted for. In addition, I examine whether the presence of elected women in parties decreases the gender gap in party congruence and responsiveness. My analyses of the data from the Comparative Study of Electoral Systems and several national elections studies indicate that parties are generally as close and as responsive to the preferences of male supporters as to those of female supporters on the left–right ideological scale. However, the presence of elected women in parties favors women's representation and may thus reduce inequality in gender representation.
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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