Kern Dominique (dir.) (2013). Formation et vieillissement. Apprendre à se former après 50 ans : quels enjeux et quelles pertinences ? Presses universitaires de Nancy – Éditions universitaires de Lorraine
Bibliographic record
Abstract
Les conseillers pédagogiques ont entre autres pour fonction d’assurer la formation continue et l’accompagnement pédagogique des enseignants. Leur travail présente de nombreux défis, dont ceux de construire leur compétence et d’assurer leur crédibilité en tant que formateurs d’adultes auprès des membres du corps enseignant duquel ils sont eux-mêmes issus. Lors d’entretiens semi-dirigés, onze conseillers pédagogiques à l’emploi d’un conseil scolaire de l’Ontario, au Canada, ont mis en lumière les stratégies par lesquelles ils parvenaient à développer et à maintenir leur sentiment d’efficacité personnelle en tant que formateurs d’adultes. Au cours de cet article, les stratégies relationnelles, de gestion du travail et d’attitude qui ont émergé d’une analyse inductive des données seront discutées.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.026 | 0.009 |
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".