Enseignement de la littératie volet oral au troisième cycle du primaire québécois : le cas de la compréhension orale
Bibliographic record
Abstract
Les élèves sont nombreux à entrer à l’école sans les compétences de base en littératie, entre autres en communication orale (Dionne, 2007b). Pourtant, il est reconnu qu’une maitrise de cette dernière est une condition de réussite (Burns et al., 2003; Groupe oral-Créteil, 1999 ;), que l’oral permet notamment de développer une vision du monde et de développer sa pensée (Chabanne et Bucheton, 2002; Plessis-Bélair, 2010, 2004). Plusieurs chercheurs québécois (Dumais et Lafontaine, 2011; Plessis-Bélair, 2012) s’intéressent à l’oral réflexif pour développer les compétences en production et en compréhension orales des élèves. C’est sur ces derniers aspects que porte notre contribution.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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".