La recherche financée dans la carrière de professeur : quelles conséquences pour les pratiques de recherche et les chercheurs à l’Université ?
Bibliographic record
Abstract
La recherche a pris une place croissante dans la carriere des professeurs d’universite au cours des dernieres decennies qui ont ete aussi caracterisees par le developpement d’organismes subventionnaires ayant pour objectif de financer une partie de ces recherches. Dans le cadre de ce texte, nous cherchons a mettre en evidence les caracteristiques de la recherche financee et a voir quels sont les liens entre celle-ci et les pratiques de recherche des professeurs au sein de l’institution universitaire dans le contexte neoliberal. Au-dela de ces elements d’analyse, nous nous interrogeons au sujet d’un eventuel nouveau recul du savoir critique
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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 | 0.039 | 0.059 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.010 | 0.047 |
| Scholarly communication | 0.026 | 0.027 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.009 | 0.009 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".