Effets de contextes en tutorat et négociation de la compréhension des savoirs théoriques et pratiques chez des stagiaires à travers le prisme d’une instrumentation identitaire
Bibliographic record
Abstract
Cette étude analyse la négociation de la compréhension des savoirs théoriques et pratiques chez des stagiaires dans un dispositif marqué par des effets de contextes au sein du tutorat. L’analyse considère donc les contraintes qui pèsent sur ces sujets, en cherchant notamment comment ils parviennent à jouer de ces contraintes pour réaliser des apprentissages. À partir d’une méthodologie qualitative basée sur les entretiens de groupes et des observations, l’article documente sur les ajustements non formalisés et locaux opérés par les stagiaires dans l’expérience camerounaise en matière d’accompagnement des apprenants dans un système dual. L’intérêt de cette recherche est qu’elle met en exergue un processus d’instrumentation identitaire de ces sujets pour faire face à un tutorat à contrecourant de la logique prescrite.
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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 | 0.008 | 0.057 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".