Boys’ Club or Good Ol’ Boys Club? Corruption and the Parliamentary Representation of Young and Old Men and Women
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 Research on political representation has shown that corruption is not gender-neutral: it benefits the recruitment of men to political office more than it does women. Yet, it is unclear if all men or a specific type of men, elderly men, benefits the most from corrupt networks in terms of political presence. The ‘old boys’ network thesis’ would single out older men as the most likely beneficiaries of the homosocial capital gained through informal ties in corrupt settings. In this article, we test this thesis based on a dataset comprising 98 national parliaments. Through bivariate and multivariate analyses, we find that corruption tends to benefit the presence of men regardless of their age. We further conjecture that the inclusion of young male patrons into nepotistic and clientelistic networks could further explain why these networks of ‘gendered’ corruption have been so sticky over time.
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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 | 0.001 | 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 | 0.001 |
| 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