Quand la quête de bénéfices transforme la mission des universités en pathologie sociale
Bibliographic record
Abstract
Maints auteurs se sont intéressés au détournement des fondements de l’enseignement supérieur par des intérêts économiques. Une critique axée sur les enjeux de la reconnaissance appelle à reconsidérer la valeur intrinsèque des sujets enseignants et étudiants au regard de leurs propres besoins, de leur liberté et de leur identité. Professeurs et chercheurs sont au cœur de ce processus de réification, qui les éloigne des fonctions de décisions, tend à ébranler l’autonomie universitaire et à enfreindre la liberté académique. Les « professionnels de l’éducation » sont contraints de lutter entre offres de financement biaisées, innovations pédagogiques sous-financées et entraves sévères à l’enseignement et à l’apprentissage. Des travaux de philosophes et de sociologues forment le socle de la réflexion en forme d’appel à la mobilisation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".