Bibliographic record
Abstract
Qui est le fou ? Un être dont l’opinion est par nature déraisonnable, incapable de consentir ou de refuser un traitement ? Sa condition le rend-il inapte à déterminer ce qui constitue son bien ? Dans quelle mesure sommes-nous prêts et capables de lui permettre d’exercer ses droits à l’autonomie et à l’autodétermination, en tant que juristes, en tant que psychiatres ? Selon notre hypothèse, les acteurs du procès portant sur l’autorisation de traiter le fou contre son gré seraient fortement imprégnés des représentations sociales de la folie. Victime de ce regard-jugement, le fou serait soumis au pouvoir des experts, de l’argument de la santé qu’ils promeuvent et de leur influence chez les décideurs. Nous plaidons en faveur d’une liberté recouvrée pour ces personnes trop souvent captives.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 0.011 |
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; both teacher heads agree on what is shown here.
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".