Éducation pour un avenir viable et formation pratique en enseignement : Vers un écodispositif d’intégration
Bibliographic record
Abstract
L’intégration d’une éducation citoyenne pour un avenir viable en formation initiale à l’enseignement (FIE) est réclamée depuis plusieurs décennies. Si l’importance de celle-ci fait désormais consensus au sein des facultés d’éducation au Canada, sa mise en œuvre demeure à instaurer. Cette recherche collaborative menée auprès de personnes ayant une expérience spécifique en éducation pour un avenir viable (EAV) et de personnes jouant des rôles significatifs en formation pratique apporte des précisions au sujet de l’intégration de l’EAV en FIE : connaissances, savoir-faire, savoir-être, caractéristiques de l’accompagnement, approches, contextes propices. Elle ouvre des voies vers la proposition d’un (éco)dispositif de formation initiale en contexte de stages permettant de faire face aux défis de l’intégration de l’EAV à la pratique du futur personnel enseignant.
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.
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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.030 |
| Scholarly communication | 0.014 | 0.008 |
| Open science | 0.001 | 0.013 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".