Dominique Memmi, Gilles Raveneau et Emmanuel Taïeb (dir.), Le Social à l’épreuve du dégoût, Rennes, Presses universitaires de Rennes, 2016, 216 p. (préface de Georges Vigarello)
Bibliographic record
Abstract
Ce livre est écœurant ! Bien sûr, dans le sens québécois du terme, c’est-à-dire formidable. Nous avons éprouvé un réel plaisir dans sa lecture, car les auteurs ont su trouver un cadre de référence, l’épreuve du dégoût dans la vie quotidienne au travail, qui est applicable à différents métiers : les employés des entreprises de pompes funèbres, les officiers de police judiciaire, les agents des services administratifs funéraires, les pompiers, les travailleurs sociaux, les aides-soignantes en ...
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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 | 0.006 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.006 | 0.010 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.021 | 0.013 |
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".