Bibliographic record
Abstract
La décision d’ouvrir aux femmes l’accès au concours de gardien·ne de la paix puis la suppression officielle des quotas limitant leur recrutement ont contribué, pour une large part, à la féminisation de la police nationale. Toutefois, les femmes restent largement sous-représentées parmi les gardiens de la paix. Si, de ce point de vue, la morphologie de l’institution change peu, c’est d’abord parce que les candidatures féminines sont plus rares que les candidatures masculines : socialement moins probables, elles constituent encore une forme de transgression qui requiert des propriétés et dispositions particulières. C’est également parce que les pratiques des recruteur·trice·s exigent des hommes un droit d’entrée moins élevé que celui dont les femmes doivent s’acquitter, tout en valorisant les candidates qui donnent des signes de leur capacité à jouer le jeu et à se plier aux règles d’un modèle viriliste qui reste dominant dans l’institution.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.016 | 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 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".