Référentialisation des compétences enseignantes : Analyse des savoirs de l'agir professionnel en vue de la reconnaissance et la validation des acquis de l’expérience et des compétences
Bibliographic record
Abstract
Cet article rend compte d’un processus de référentialisation des savoirs de l’agir professionnel en situation. L'analyse du sens de l'action permet de saisir les situations critiques qui orientent le développement des compétences (Mayen et Métral, 2008). Fondé sur la conceptualisation de l'activité professionnelle, l’examen du Référentiel de compétences professionnelles. Profession enseignante (Gouvernement du Québec, 2020) a permis de traduire les processus internes requis en réponse aux situations de la pratique éducative ainsi que les traits essentiels des compétences. Les résultats révèlent l’interdépendance de quatre schèmes organisateurs de l’activité enseignante : l’apprentissage, l’environnement, la collectivité (collaboration) et le développement professionnel continu.
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 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 | 0.016 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".