Bibliographic record
Abstract
Cette étude évalue la discrimination dans l’accès à l’emploi privé et public selon deux critères, une origine maghrébine et une adresse en quartier de la politique de la ville, à l’aide d’un testing sur trois professions où les recruteurs publics sont en concurrence avec des recruteurs privés : responsables administratifs, techniciens de maintenance et aides-soignants. Entre octobre 2015 et avril 2016, nous avons envoyé 3 258 candidatures en réponse à 1 086 offres d’emploi. L’étude consiste en une exploitation statistique et économétrique des résultats de ces envois. Nous ne trouvons pas que les discriminations à l’embauche sont plus faibles dans la fonction publique que dans le secteur privé et nous montrons que les fonctions publiques hospitalière et territoriale sont plus exposées au risque discriminatoire que la fonction publique d’État, pour les deux critères. Classification JEL : C81, C93, J15, J45, J71.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.859 | 0.829 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".