The Canada Foundation for Innovation, Sociology of Knowledge, and the Re-engineering of the University
Bibliographic record
Abstract
Dans cet article, nous montrons, en prenant comme exemple la Fondation canadienne pour l’innovation (FCI), comment les politiques canadiennes en matière de sciences engendrent des formes de « stratifications » à l’intérieur des universités et entre celles-ci. Il existe des différences importantes dans les fonds qu’accorde la FCI selon les champs de connaissances, et cela a entraîné des inégalités croissantes dans le soutien financier dont disposent les chercheurs pour réaliser leurs travaux. Ces inégalités ont de plus renforcé certains modèles de changements, aux plans financier et organisationnel, qui sont en train de refaçonner le fonctionnement des universités. Nous concluons en discutant certaines implications importantes de ce rôle que joue la FCI en imposant une réorganisation de l’enseignement supérieur au Canada.
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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 | 0.006 | 0.049 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.010 | 0.075 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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; a candidate call from one teacher head, 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".