Corruption and women in cabinets: Informal barriers to recruitment in the executive
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
Research on corruption and women in politics has mainly focused on legislatures, generally finding that corruption decreases the election of women. This article turns the spotlight to the executive branch—an arena where selection is less transparent than recruitment to legislative seats—and examines if corruption decrease the share of ministers who are women. Drawing on feminist institutionalist theories, we posit that in an environment of high political corruption, (male) elites involved in cabinet formation will tend to appoint ministers whom they can trust with secretive tasks. In systems with corrupt networks, relative newcomers, such as women, should face obstacles to career advancement. The article tests this reasoning empirically on a global sample of countries across time. Using a new indicator measuring corruption in executive bodies, we find support for our argument; corruption tends to hinder women's presence in cabinets, albeit only in democracies and not autocracies.
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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