L’égalité dans ses rapports à la race. Des discriminations subies par les travailleurs marocains de la SNCF (1970-2018).
Bibliographic record
Abstract
Les membres du jury sont : Adelle Blackett (Université McGill), Olivia Bui-Xuan (Université d’Evry), Véronique Champeil-Desplats (Université Paris Nanterre), Jean-Louis Halpérin (ENS), Sylvaine Laulom (Université Lyon 2, avocate générale près la Cour de cassation), Isabelle Rorive (Université Libre de Bruxelles), Mikhaïl Xifaras (Sciences Po).Cette HDR se compose de deux volumes. Le premier volume porte sur son parcours de recherche et ses travaux antérieurs. Le second volume comprend une partie d’un manuscrit à paraître intitulé : L’égalité dans ses rapports à la race. Des discriminations subies par les travailleurs marocains de la SNCF (1970-2018).
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.021 | 0.003 |
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".