Le processus de désengagement professionnel au cours de la carrière des enseignants d’expérience du secondaire
Bibliographic record
Abstract
Le désengagement professionnel chez les enseignants constitue un phénomène préoccupant et celui-ci reste, à ce jour, peu documenté. Ainsi, cette recherche vise à décrire et à comprendre le processus de désengagement professionnel chez les enseignants d’expérience au secondaire. Les résultats obtenus à l’aide de l’analyse thématique de huit entretiens semi-dirigés révèlent que les nombreuses difficultés affectant le travail des enseignants peuvent constituer une source de désengagement en venant affecter ses trois dimensions : affective, normative et relationnelle. En outre, celui-ci peut s’observer à travers de multiples manifestations. Ces résultats permettent de constater le caractère graduel du désengagement professionnel qui s’exprime selon divers profils.
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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 | 0.010 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".