La parrhèsia dans l’école : ressources et points critiques
Bibliographic record
Abstract
Cette contribution propose une revue de littérature sur les usages d’un « parler-vrai » à l’école et à propos de l’école. Tout d’abord, le « parler-vrai » est conceptualisé à partir de l’oeuvre de Foucault sur la Parrhèsia comme une « sorte d’activité verbale où le locuteur a un rapport spécifique à la vérité par la franchise. » (Foucault, 2001, p. 19) Ensuite, une analyse thématique du corpus d’articles et d’ouvrages à l’aide du logiciel NVivo permet de distinguer quatre groupes de travaux qui structurent cet article : a) l’enseignant parrhésiaste et son savoir, b) la parrhèsia pour un projet démocratique à l’école, c) le chercheur en éducation comme intellectuel spécifique et d) la parrhèsia et les dispositifs d’expression de l’émotion. Les travaux mettent en évidence les obstacles à franchir pour que la pratique parrhésiastique puisse se réaliser au sein de l’école.
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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 | 0.009 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.009 | 0.036 |
| Scholarly communication | 0.014 | 0.013 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 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".