Insertion professionnelle des femmes à la sortie de l’école : exemple de la France
Bibliographic record
Abstract
En s’appuyant sur les enquêtes « Premier Emploi » du Centre d’études et de recherches sur les qualifications (CEREQ) et de l’Institut national de la statistique et des études économiques (INSEE), l’auteure étudie l’insertion professionnelle des jeunes femmes en France à leur sortie de l’école. Elle examine l’insertion des jeunes femmes selon leur niveau de scolarité pour montrer, d’un côté, les inégalités de condition d’entrée sur le marché du travail des femmes faiblement diplômées et de celles qui sont titulaires d’un diplôme de l’enseignement supérieur et, de l’autre côté, les inégalités de condition d’insertion des hommes et des femmes possédant le même type de diplôme. L’auteure montre que ces différentes conditions d’insertion sont liées aux orientations différenciées des filles et des garçons ainsi qu’à la division du travail entre les sexes.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.011 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".