KEEL Othmar, La médecine des preuves. Une histoire de l’expérimentation thérapeutique par essais cliniques contrôlés. Montréal, Presses universitaires de Montréal, coll. « Champ libre », 2011
Bibliographic record
Abstract
Depuis sa these de doctorat sur Cabanis (Cabanis et la genealogie epistemologique de la medecine clinique, 1977), dirigee par Georges Canguilhem, Othmar Keel, aujourd’hui professeur retraite d’histoire de la medecine a l’Universite de Montreal, s’est attache a demontrer le role central de l’histoire dans la comprehension des enjeux ethiques, scientifiques et sociopolitiques de la medecine. De sa relecture de l’influence de Pinel dans l’histoire de l’histopathologie (La genealogie de l’histopa...
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.010 | 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".