L' activité réflexive en recherche collaborative
Bibliographic record
Abstract
Plusieurs études ont porté sur la démarche de recherche collaborative. Certaines questions liées à l’activité réflexive et à la complexité de l’imbrication des voix des acteurs, dans cette zone interprétative partagée où se co-constituent les données de la recherche, demeurent cependant peu explorées. Nous abordons cette complexité dans le cadre d’un projet impliquant chercheurs et conseillers pédagogiques en mathématiques au primaire. Une analyse s’appuyant sur le concept de polyphonie de Bakhtine (1970) nous permet de voir comment l’activité réflexive conduit à des construits dialogiques concernant la résolution de problèmes en contexte d’enseignement et l’accompagnement des enseignants par les conseillers pédagogiques.
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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 | 0.054 | 0.073 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.005 | 0.029 |
| Scholarly communication | 0.019 | 0.018 |
| Open science | 0.004 | 0.021 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.016 | 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".