L’apport de la méthodologiede la théorisation enracinée (MTE)dans l’étude de l’enseignementdes sciences humaines
Bibliographic record
Abstract
La recherche dont nous présentons ici la méthodologie et les résultats visait à identifier et à comprendre les défis spécifiques de l’enseignement des sciences humaines au secondaire et au collégial. Dans cet article, nous montrons comment l’approche de la MTE a fourni les démarches utiles à l’atteinte de notre objectif de recherche, surtout grâce aux stratégies analytiques particulières de cette approche. De plus, nous présentons les réponses à notre question de recherche, c’est à dire les défis et la manière dont ils sont vécus sur le plan des contenus à enseigner, de la pédagogie, de la gestion de classe et des compétences particulières à maîtriser par les enseignants en sciences humaines au Québec.
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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 | 0.094 | 0.157 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".