Éduquer à l’environnement sans savoir sur la société: le cas des manuels scolaires québécois du primaire en sciences et technologies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Le texte présente une analyse de 69 situations d’enseignement-apprentissage (SEA) en sciences et technologies intégrant le domaine général de formation «Environnement et consommation». Les SEA analysées proviennent de manuels scolaires québécois du primaire. L’analyse vise à dégager les dynamiques sociospatiales prises en considération lors du traitement des problématiques environnementales. Les résultats démontrent que malgré l’articulation annoncée du domaine général de formation «Environnement et consommation» aux SEA en sciences et technologies, celles-ci demeurent pour l’essentiel disciplinaires et sollicitent fort peu de savoirs en lien avec les dynamiques sociospatiales. Ainsi, les dimensions territoriales, politiques et économiques sont largement évacuées des réflexions environnementales.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.010 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.000 |
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 it