L’école du bien-être. Enseigner l’autorégulation : entre contrôle et émancipation
Bibliographic record
Abstract
Cet article vise à approfondir la réflexion sur le bien-être scolaire à l’aune de la thèse foucaldienne de la gouvernementalité néolibérale. Il analyse le sens des techniques visant le développement de la maîtrise de soi (ou autorégulation) qui sont de plus en plus préconisées à l’école (méditation, gestion du stress, etc.). Pour ce faire, l’article présente le cadre foucaldien dans lequel s’insère la réflexion. Ensuite, il examine dans quelle mesure nous pouvons affirmer que les pratiques de bien-être mises en œuvre à l’école font la promotion d’une subjectivité néolibérale à l’école. Enfin, il examine dans quelles conditions la formation de compétences à la maîtrise de soi n’est plus au service de l’émancipation de l’enfant, mais au contraire au service du système politique, économique, de la concurrence
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 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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.015 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| 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".