La construction des connaissances sur les codes numéraux et digitaux des nombres : un processus de coordination de connaissances multiples
Bibliographic record
Abstract
L'étude vise à préciser les processus d'élaboration et de coordination des connaissances sur les codes digitaux et numéraux des nombres chez des élèves de première année. Des tâches d'écriture, de lecture et de rappel de la suite nommée des nombres sont présentées à 16 élèves. Sur la base de modèles élaborés dans le domaine et d'un examen plus approfondi des connaissances de certains de ces élèves, les auteures proposent un modèle d'identification des processus de coordination de connaissances sur les codes des nombres. Ce modèle permet de dégager chez les élèves cinq niveaux de performance et de mieux comprendre la signification des écarts entre ceux-ci. Il fait ressortir également le jeu essentiel de coordination des connaissances des deux codes dans la construction d'une première représentation de la suite des 100 premiers nombres.
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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 | 0.003 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".