La construction identitaire de l'enseignant sur le plan professionnel: un processus dynamique et interactif
Bibliographic record
Abstract
Ce texte présente un modèle dynamique et interactif de construction de l'identité professionnelle de l'enseignant, faisant appel à des dimensions pyschologiques aussi bien que sociologiques. Ce modèle est sous-tendu par une définition de l'identitié professionnelle de l'enseignant et de ses diverses composantes auxquelles sont associées les qualités professionnelles requises de l'enseignant. Des entrevues semi-dirigées réalisées auprès de deux groupes d'enseignantes, le premier, composé d'enseignantes du primaire, le second, d'enseignantes ayant également une expérience d'enseignement en formation des maîtres, permettent d'illuster le caractère dynamique et interactif de la construction identitaire qui se manifeste par les processus de remise en question, de changement et de résolution de problèmes.
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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 | 0.010 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.007 | 0.025 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 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".