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Record W7124956322 · doi:10.7202/1122215ar

La résilience et le bien-être psychologique au service de l’engagement au travail chez les enseignants

2025· article· fr· W7124956322 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHumain et Organisation · 2025
Typearticle
Languagefr
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsRelation (database)Gender identityHomogeneous

Abstract

fetched live from OpenAlex

Malgré un taux d’abandon de la profession élevé, plusieurs enseignants demeurent fidèles au poste, soulevant des questions sur les leviers de leur engagement au travail. Parmi les antécédents documentés de l’engagement au travail, la résilience et le bien-être psychologique au travail (BEPT) se démarquent. Ainsi, cette étude visait à explorer le rôle médiateur du BEPT dans la relation entre la résilience et l’engagement au travail. S’appuyant sur la théorie broaden-and-build, une étude transversale a été réalisée auprès de 204 enseignants québécois du primaire et du secondaire. Les résultats soutiennent que la relation entre la résilience et l’engagement au travail est entièrement médiée par le BEPT, permettant de cibler des interventions favorisant l’émergence et le maintien de l’engagement chez les enseignants.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.744
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.067
GPT teacher head0.401
Teacher spread0.335 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it