Portraits de pratiques de deux CP collaboratifs
Bibliographic record
Abstract
Dans cet article, nous dressons des portraits rapides de nos pratiques de conseillers pédagogiques (CP) et abordons quelques-unes des perspectives et valeurs qui nous guident dans notre accompagnement des enseignants au primaire, secondaire et collégial. Également, nous revenons sur deux recherches collaboratives que nous avons initiées et auxquelles nous avons activement pris part afin d’en tirer quelques enseignements. Cet examen nous permet de mettre en évidence que nous sommes des CP collaboratifs informés, entre autres, par la recherche dans notre travail d’accompagnement. Également, nous soulignons le fait que nos expériences de recherche nous permettent d’affiner nos expertises du processus d’accompagnement.
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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 | 0.013 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.022 | 0.022 |
| Scholarly communication | 0.015 | 0.015 |
| Open science | 0.003 | 0.015 |
| Research integrity | 0.005 | 0.013 |
| Insufficient payload (model declined to judge) | 0.014 | 0.003 |
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".