Enseignement et apprentissage des sciences: résultats de la troisième enquête internationale
Bibliographic record
Abstract
Cet article cherche à décrire la situation de l'enseignement et de l'apprentissage des sciences chez les élèves ontariens francophones de 13 ans. Il s'intéresse aux données descriptives tirées des questionnaires (élèves et enseignants) concernant trois champs d'information: 1) les caractéristiques sociales et socioéconomiques des élèves, 2) les attitudes des élèves et de leurs parents vis-à-vis des sciences, et 3) les pratiques pédagogiques des enseignants. L'auteur examine les relations entre le rendement en sciences et les variables de ces trois champs. Il compare les données recueillies auprès des francophones de l'Ontario à celles qui ont été obtenues auprès d'élèves de l'Alberta. L'article aborde également certains aspects de l'enseignement des sciences, dont le curriculum, le temps d'enseignement, la formation et le perfectionnement des enseignants.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.003 | 0.011 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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; both teacher heads agree on what is shown here.
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".