Comment le jugement de grammaticalité justifié peut-il donner un accès privilégié aux connaissances des futurs enseignants sur la phrase en contexte minoritaire ?
Bibliographic record
Abstract
Dans le cadre de cette presentation, nous decrirons les connaissances que 22 futurs enseignants de la Saskatchewan detiennent sur la phrase. Pour ce faire, nous les avons invites a prendre part a un entretien individuel lors duquel nous leur avons demande de juger de la grammaticalite d'une serie de 15 enonces et de justifier leurs prises de position. Les donnees presentees permettront de mettre au jour certaines des structures phrastiques qui occasionnent des difficultes chez les participants et pourront donc orienter la mise en oeuvre d'une formation (meta)linguistique qui, de maniere ciblee, repond aux besoins de ceux qui se destinent a une carriere educationnelle en contexte francophone minoritaire.
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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 | 0.005 | 0.016 |
| 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 | 0.008 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".