Favoriser la collaboration dans la mise en œuvre d’une recherche collaborative sur le développement du vocabulaire et de la sensibilité lexicale à l’éducation préscolaire
Bibliographic record
Abstract
Cet article présente une recherche collaborative sur le développement du vocabulaire et de la sensibilité lexicale à la maternelle impliquant une quinzaine d’enseignantes œuvrant en milieu défavorisé. La mise en œuvre du processus de recherche-formation est décrite, de même que les ajustements en cours de déroulement qui ont permis de favoriser la collaboration entre les personnes participantes et de mieux répondre à leurs besoins. Ces changements, concernant principalement les contenus et l’organisation des journées de formation ainsi que les outils de collecte de données, découlent des données recueillies à travers les documents de planification, les rencontres de suivi au terme de chaque séquence d’enseignement et nos propres observations en classe et lors des rencontres.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.054 | 0.110 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.014 | 0.010 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.004 |
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".