Néolibéralisme et productivité scientifique de la recherche universitaire en éducation au Québec. Trajectoires et perspectives
Bibliographic record
Abstract
En contexte de gouvernance néolibérale, les disciplines universitaires dont les sciences de l’éducation se positionnent à l’aulne de leur productivité scientifique. L’opérationnalisation du concept passant par la quantification et la qualification des écrits publiés, dans cet article nous traçons d’abord un bref historique du soutien à la recherche au Québec puis en décrivons les infrastructures. Après nous être penché sur deux indices de productivité soit le volume d’articles découlant de recherches subventionnées ainsi que la structure des rapports de recherche « contraints », nous en situons les limites et le potentiel dans le cadre d’une recherche universitaire « industrialisée ».
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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 | 0.015 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.007 | 0.033 |
| Scholarly communication | 0.016 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".