La persévérance chez les enseignants franco-ontariens
Bibliographic record
Abstract
Cet article examine divers phénomènes ayant permis à des enseignants de trouver du sens à leur profession et persévérer dans l’exercice de celle-ci, notamment dans les premières années d’entrée en fonction. Plus précisément, notre recherche porte sur une dimension peu explorée dans la littérature, et s’attarde à des éléments positifs marquants de la profession relatés par des enseignants franco-ontariens. Ces épisodes de récits de vie racontées de manière anecdotique procèdent d’une forme privilégiée d'expression tant de la formation et de l'identité des personnes que de la quête de sens, en rapport avec le vécu subjectif des enseignants, dans un contexte minoritaire. La question générale de cette étude se présente comme suit : Quels sont, d’après les enseignants franco-ontariens, les événements saillants positifs qui les ont marqués surtout en début de carrière, et qui favorisent chez eux la persévérance dans l’exercice de la profession ? Les résultats sont discutés à partir de trois préoccupations : les catégories d’évènements marquants positifs qui émergent ; les différences relatives au profil de carrière selon le modèle de Huberman (1989) ; les différences relatives au sexe et à l’expérience. This article examines various phenomena that allow teachers to find a meaning in their profession and persevere in the discharge of their duties, especially during their first years in this field. More precisely, our research focuses on a less explored dimension in the literature and dwells upon the profession's most significant positive elements reported by Franco-Ontarian teachers. These life stories told in an anecdotal manner, come from a privileged form of expression as much from their training and from their personal identity as well as their quest for meaning, dealing with the teachers' subjective real-life experiences in a minority context. The general question of this study is: According to these Franco-Ontarian teachers, what are the most prominent and positive events that have influenced them, especially during the beginning of their career, and that have furthered in them perseverance in the discharge of their duties? We then discuss the findings from the three preoccupations: emerging positive events, differences related to their career's profile, according to Huberman's model (1989); and differences related to their gender and experience.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.010 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".