Les pratiques de lecture identifiées par les stagiaires en formation initiale
Bibliographic record
Abstract
Cet article s’inscrit dans les nouvelles analyses fondées sur l’observation des pratiques et la prise en compte des acteurs dans leur développement professionnel. Dans le cadre d’une recherche qualitative/interprétative, l’autrice identifie les pratiques de lecture colligées par les stagiaires en formation initiale à l’aide d’un outil de formation, le carnet de lecture. Centrée sur trois axes d’observation, cette étude identifie les principales pratiques de lecture observées en classe, analyse le matériel imprimé et informatique utilisé par les maîtres-associés et décrit la fréquentation de la bibliothèque scolaire et le matériel qu’on y trouve. Malgré les limites inhérentes au carnet de lecture, cet outil de formation a contribué à la coconstruction des connaissances des stagiaires.
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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 | 0.045 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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".