Des identités professionnelles en construction
Bibliographic record
Abstract
Le métier de chef d’établissement en France est abordé par cinq experts issus de la recherche et de l’encadrement à différents niveaux. Tiraillés entre les héritages du passé et des modèles de management largement inspirés du monde de l’entreprise, les chefs d’établissements doivent se construire une identité nouvelle dans un contexte marqué par l’influence des comparaisons internationales, la diversité des contextes d’exercice et l’obligation croissante d’améliorer les résultats des élèves. Les débats explorent des aspects stratégiques de cette évolution, notamment en matière de développement d’une gestion autonome et responsable de l’établissement, ainsi que de pilotage pédagogique. Les pratiques professionnelles des chefs d’établissement français doivent évoluer pour s’adapter aux profondes transformations d’une école qui veut se moderniser tout en respectant les valeurs fondatrices de la République.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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; a candidate call from one teacher head, 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".