Management des conduites professionnelles par les résultats probants de la recherche. Une analyse critique
Bibliographic record
Abstract
En provenance d’un monde médical en butte à une croissance exponentielle des savoirs nécessaires au jugement clinique, la perspective des pratiques fondées sur les résultats probants, mieux connue sous le label Evidence Based Practice, se présente comme une solution pour rationaliser les pratiques professionnelles dans le secteur de la santé et des services sociaux. Cette perspective comporte cependant quelques limites découlant notamment d’une série de réductionnismes méthodologiques qu’il est nécessaire d’élucider pour bien identifier ce qu’elle peut apporter. Ces réductionnismes seront par la suite analysés au regard de l’inscription plus ou moins volontaire de la perspective Evidence Based Practice dans une nouvelle philosophie de gestion des services publics.
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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 | 0.287 | 0.478 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.009 | 0.014 |
| Scholarly communication | 0.021 | 0.012 |
| Open science | 0.006 | 0.010 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".