Analyse du modèle opératif d’un enseignant en deuxième année primaire dans le cadre de l’enseignement de la lecture
Bibliographic record
Abstract
Analyse du modèle opératif d'un enseignant en deuxième année primaire dans le cadre de l'enseignement de la lecture Formation et profession 26(3), 2018 • 81 ésumé Cette étude vise à décrire le modèle opératif d'une enseignante de deuxième grade pour l' enseignement de la lecture.À la suite d' observations et d' entretiens, ce modèle a été schématisé afin de déterminer l'influence des concepts organisateurs dans quatre classes de situations : l' enseignement de la compréhension, l' enseignement des correspondances graphophonémiques, le recours à la lecture oralisée et l'usage de l' écriture dans des tâches de lecture.Nous postulons ensuite l' existence de freins conceptuels à la mise en œuvre de pratiques efficaces.Par exemple, l'un des concepts utilisés par le sujet semble entraver l'articulation de l' enseignement de la lecture et de l' écriture. Mots-clésEnseignement de la lecture, modèle opératif, concepts organisateurs.
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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 | 0.007 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".