Quelle problématisation dans les manuels scolaires québécois du primaire en sciences humaines
Bibliographic record
Abstract
Le texte1 presente une analyse de la problematisation sous-jacente aux mises en situation proposees pour l’etude de la diversite des Autochtones vers 1980 dans cinq collections de manuels scolaires. L’analyse caracterise les fonctions et les dimensions associees a la problematisation. Les resultats revelent la predominance des fonctions de guidance et d’interessement ainsi que la sollicitation des dimensions epistemologique et psychologique dans une perspective descriptive. La problematisation est ainsi centree sur une exposition du savoir soutenue par une mise en scene qui se veut attrayante pour l’eleve, mais qui demeure en marge du savoir. [1] Le texte s’inscrit dans le cadre des travaux d’une recherche subventionnee : La problematisation des apprentissages au primaire : le point de vue des formateurs, des futurs enseignants et des manuels scolaires (CRSH 2009- 2012, Programme de recherche ordinaire, n° 410-2009-1684 sous la direction de Johanne Lebrun, cochercheurs : Abdelkrim Hasni, Marie-Pier Morin et Yves Lenoir).
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.010 |
| Science and technology studies | 0.028 | 0.025 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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".