Pertinence de la prise en compte des dimensions sociales des sciences pour renouveler la conception des sciences au primaire : illustration de la position d’une future enseignante1
Bibliographic record
Abstract
Différents auteurs reconnaissent la pertinence de renouveler la conception scolaire des sciences la plus courante, ainsi que les stratégies d’enseignement qui y sont liées. Pour plusieurs, s’inspirer de travaux de sociologie des sciences représente une avenue intéressante en ce sens. Dans ce qui suit, nous décrivons comment des chercheurs en éducation ont interprété ces dimensions sociales des sciences, nous soulignons la fécondité de certaines propositions pour renouveler les conceptions des sciences de futurs enseignants 3 et présentons, à titre illustratif, la position d’une enseignante du primaire en formation initiale.
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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 | 0.027 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.015 | 0.076 |
| Scholarly communication | 0.022 | 0.025 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.007 | 0.011 |
| Insufficient payload (model declined to judge) | 0.008 | 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".