Les contrats aidés : quelles marges de manœuvre pour les bénéficiaires ?
Bibliographic record
Abstract
À partir du panel des bénéficiaires de la politique de l’emploi de la Dares (Direction de l’animation de la recherche, des études et des statistiques du ministère chargé de l’Emploi), deux analyses ont été réalisées selon l’approche par les « capacités ». Une première analyse considère les marges de manœuvre des bénéficiaires et une seconde les perceptions de leurs conditions de vie. Comparer les perceptions des bénéficiaires à celles d’une population témoin permet de mieux évaluer l’impact des dispositifs. Globalement, les contrats aidés améliorent les marges de manœuvre des bénéficiaires en termes de conditions de vie. Par ailleurs, le contrat initiative emploi (CIE) est mieux perçu que le contrat emploi solidarité (CES), mais ce dernier permet cependant davantage que le CIE de « se sentir utile » et de « reprendre confiance en soi ».
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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 | 0.008 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".