Description et comparaison de la socioconstruction des connaissances dans trois contextes d’apprentissage différents du milieu scolaire
Bibliographic record
Abstract
L’etude decrit et compare la socioconstruction des connaissances dans trois contextes scolaires d’apprentissage. Elle s’appuie sur les concepts cles du socioconstructivisme. Chaque interaction est decrite sous trois dimensions linguistique, sociocognitive et socio‐emotionnelle. L’etude decrit et compare la socioconstruction des connaissances sous les angles de l’egalite de la participation, du type sociocognitif et du climat socioemotionnel. On observe qu’elle est plus presente dans l’environnement ou les interactants communiquent par ecrit, sans presence physique et de facon asynchrone; elle est moins marquee la ou les interactants sont presents physiquement ou communiquent par videoconference. Favoriser l’expression d’opinions et traiter les desaccords pour augmenter les consensus amelioreraient la socioconstruction.
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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 | 0.008 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; a candidate call from one teacher head, 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".