La recherche partenariale au Québec : tendances et tensions au sein de l’université
Bibliographic record
Abstract
L’article tente dans une première partie de produire un classement des pratiques de recherche partenariale ayant cours dans les universités au Québec. Sans être une investigation systématique, elle puise dans diverses disciplines des sciences sociales et dans divers domaines de recherche. Deux tendances semblent se dessiner, l’une plus proche de la vision émancipatrice et l’autre plus axée sur les stratégies d’innovation sociale. La réflexion se poursuit par l’exposition, en seconde partie d’article, de trois nouveaux enjeux engendrés par l’essor de la recherche partenariale au sein de l’institution universitaire : la tension avec la recherche traditionnelle, la démarcation du savoir universitaire des autres types de savoirs et, enfin, l’éthique de la recherche.
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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 | 0.041 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.039 | 0.019 |
| Scholarly communication | 0.016 | 0.007 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.009 | 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".