Le développement de l’intérêt pour un cours de physique chez les élèves en fonction de leur orientation vers les personnes
Bibliographic record
Abstract
L’objectif de la présente étude est de vérifier si au secondaire IV les élèves plus fortement orientés vers les personnes développent moins d’intérêt pour leurs cours de physique que ceux qui sont moins fortement orientés vers les personnes. Les variables intérêt, au début et à la fin de l’année, et orientation vers les personnes furent mesurées à l’aide d’adaptations françaises des tests suivants : le Différentiateur sémantique de Geis, le Merritt College Motivation Inventory de Caughren. L’étude montre que seuls les élèves qui ne sont pas orientés vers les personnes conservent leur intérêt intact jusqu’à la fin de l’année scolaire et que l’intérêt des autres diminue.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".