La Chaire de recherche sur les aspects sociaux du don de sang : un partenariat inédit dans l’univers de la recherche conjointe au Québec
Bibliographic record
Abstract
Cet article de recherche propose une analyse des conditions d’exercice des démarches de recherche conjointe et des enjeux de reconnaissance des savoirs produits dans un tel cadre à partir d’une étude de cas, celle de la Chaire de recherche sur les aspects sociaux du don de sang (Héma-Québec-INRS). Ce partenariat amorcé en 2007 et ancré dans une collaboration entre sciences sociales et milieu biomédical offre, entre autres, l’occasion de réfléchir aux impacts de la recherche qui s’effectue hors des universités et de la rencontre entre chercheurs des « milieux de pratique » et chercheurs universitaires.
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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 | 0.030 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.021 | 0.015 |
| Scholarly communication | 0.015 | 0.005 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".