ESCale - environnement de formation professionnelle technique assistée par ordinateur : une expérience pilote menée au Québec
Bibliographic record
Abstract
ESCale é um ambiente aberto e informatizado de formação profissional que obedece ao princípio de que o elemento mais qualificado para uma certa tarefa, seja ele humano, material ou software é o responsável por conduzir a relação educativa. Dois eixos condicionam a ação pedagógica do ambiente: uma estruturação conceitual, sistêmica e técnico-científica dos saberes do professor e uma abordagem pedagógica centrada no aluno. Experimentações parciais confirmaram a adequação e a pertinência do ambiente ESCale.Résumé: ESCale est un environnement ouvert de formation professionnelle technique assistée par ordinateur. Il obéit au principe que l’élément de l’environnement le plus qualifié pour une tâche donnée, qu’il soit humain, matériel ou logiciel, est responsable de la mener à bien mais que l’autorité ultime est celle de l’enseignant. Deux axes conditionnent son action pédagogique : une structuration conceptuelle, systémique et technoscientifique des savoirs d’enseignement et une approche pédagogique centrée sur l’apprenant. Des expérimentations partielles ont confirmé le bien-fondé et la pertinence de l’environnement.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".