Entre conservatisme et rectitude politique en enseignement supérieur : un commentaire critique sur The coddling of the American mind
Bibliographic record
Abstract
Le livre The coddling of the American mind, par Greg Lukianoff et Jonathan Haidt, a généré beaucoup d’intérêt depuis sa sortie. Nous en proposons une recension critique qui situe d’abord l’ouvrage dans son contexte sociopolitique, puis en résume les idées centrales. Nous présentons ensuite une critique qui s’est concentrée sur les choix et fondements théoriques qui sous-tendent l’ouvrage, puis en évaluons une des propositions centrales, celle d’instaurer un système de discrimination positive envers les professeur⋅e⋅s ayant un alignement politique conservateur. Enfin, nous revenons sur les aspects du livre que nous avons trouvés intéressants et discutons de son utilisation potentielle en classe.
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.046 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.007 | 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".