Comment les techniques théâtrales aident les apprenants de FLS à interagir pour compléter des tâches de communication orale
Bibliographic record
Abstract
En didactique des langues, la perspective actionnelle reconnait l’apprenant comme un acteur social dans le sens où celui-ci complète des tâches qui l’amènent à interagir avec des interlocuteurs natifs et non natifs (Conseil de l’Europe, 2001). Le présent article examine comment les techniques théâtrales en français langue seconde (FLS) facilitent les interactions dans la communauté d’apprentissage, en classe, et la communauté locale, hors classe. L’article offre une réflexion de pratique d’enseignement du FLS en contexte universitaire au Canada, plus précisément dans le cadre d’un cours de communication orale où le projet principal d’apprentissage, appelé reportage, comprend des tâches comme l’entrevue et la présentation magistrale. Ces dernières sont réalisées en partie grâce au travail corporel et aux jeux dramatiques constitutifs du cours de langue.
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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 | 0.014 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.014 | 0.005 |
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".