The Invincible Gender Gap in Political Ambition
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 When we uncovered a large gender gap in political ambition in the early 2000s, our research highlighted how far the United States was from gender parity in politics. Given marked increases in women’s numeric representation throughout the past two decades, many might expect the gender gap in political ambition to have begun to close. Results from our new study of potential candidates, however, reveal that the magnitude of the gender gap is just as large 20 years later, and two primary explanations persist as well. We posit that even though candidate recruitment has propelled more women into electoral politics, patterns of traditional gender socialization persist. These dynamics, coupled with negative perceptions of how female candidates are treated, continue to depress women’s interest in elective office. As long as running for office is a more remote endeavor for women than men, women’s full political inclusion will remain a distant goal.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it