Le pluralisme normatif appliqué. Une étude de la mobilisation des normes par les acteurs sociaux dans le champ psychiatrique
Bibliographic record
Abstract
Dans le contexte actuel de mutation de la régulation juridique et sociale, la pluralité des normes et du sens qu’elles véhiculent confrontent naturellement l’individu au choix entre plusieurs standards. Dans cette étude, nous nous sommes intéressée au phénomène du pluralisme normatif en tant que vecteur du lien social. Dans cette perspective, l’interprétation des normes et du sens qu’elles portent est étroitement liée à la conception que l’individu se fait du sens de son action et de son propre rôle dans le rapport interpersonnel et social. La recherche empirique dont il est question ici a permis de modéliser le rapport complexe entre l’acteur étudié – le sens qu’il attribue à son action, la conception qu’il a de son rôle dans le lien social – et les normes.
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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 | 0.017 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.032 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".