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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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; both teacher heads 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".