De la professionnalisation en éducation : regard sur les directions d’établissement
Bibliographic record
Abstract
Au cours de la dernière décennie, la professionnalisation du personnel d’encadrement de l’éducation, comme celle des enseignants, est devenue une rhétorique inhérente aux réformes visant la transformation des services publics dans une perspective de modernisation. Cette tendance suit des paradigmes à la fois idéologiques et pragmatiques qui ne sont pas sans s’inspirer du New Public Management, mais aussi, sous certains aspects, de l’évolution des conceptions et des compétences des personnes qui œuvrent au sein de ces organisations. Ce texte, après avoir porté une attention à la problématique de la notion de professionnalisation, aborde celle-ci dans le cadre des nouvelles régulations auxquelles est confronté le pilotage du système éducatif, particulièrement son personnel d’encadrement. Quelques pistes d’action sont proposées sur les sentiers de la professionnalisation des directions d’établissement.
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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 | 0.018 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.050 |
| Scholarly communication | 0.013 | 0.016 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.008 | 0.011 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".