Le transfert des connaissances dans le domaine social
Bibliographic record
Abstract
Voici un livre complet, axé sur la théorie et la pratique, qui intéressera les chercheurs et les utilisateurs des connaissances. Il arrive à point : le transfert des connaissances est un enjeu organisationnel appelé à connaître une importance cruciale au cours des prochaines années. Nathalie Houlfort Professeure agrégée Cotitulaire de la Chaire d'études sur l'application des connaissances dans le domaine des jeunes et des familles en difficulté — UQÀM Le transfert et l'utilisation des connaissances dans le domaine social restent encore un territoire trop peu exploré. Voilà que ce livre en offre une première topographie qui montre de façon convaincante comment on peut accélérer la production et la mise à profit de nouvelles connaissances. Céline Mercier Département de médecine sociale et préventive Université de Montréal
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.018 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| 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".