Processus de professionnalisation et dynamiques identitaires : deux études de cas chez les enseignants de lycée professionnel en France
Bibliographic record
Abstract
L’étude porte sur le processus de professionnalisation des enseignants de lycées professionnels durant leur année de formation à l’IUFM. Elle s’intéresse aux parcours antérieurs des individus et aux ressources, pragmatiques ou symboliques, mobilisées pour (re)construire une identité professionnelle et pour s’adapter aux nouvelles situations de travail. Les deux études de cas présentées rendent compte de dynamiques identitaires pour des enseignants ayant une expérience professionnelle conséquente dans un domaine autre que l’enseignement. L’analyse éclaire le rapport à la formation dans ce moment de passage. On constate que la mutation d’un métier vers un autre génère des (dis)continuités, liées à la possibilité (ou pas) d’intégrer de nouveaux repères, respectant les valeurs fondatrices d’un rapport juste et cohérent à soi, aux autres, à l’institution.
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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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.012 | 0.007 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".