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Record W4377004849 · doi:10.7202/1095702ar

Soutien social et bien-être psychologique au travail

2023· article· fr· W4377004849 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.

Bibliographic record

VenueHumain et Organisation · 2023
Typearticle
Languagefr
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsUniversité du Québec à MontréalUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPsychologyPolitical scienceSociologyPhilosophy

Abstract

fetched live from OpenAlex

Le soutien social offert par l’organisation contribuerait à un bien-être psychologique au travail plus élevé. La présente étude a pour but de préciser le lien entre trois sources de soutien social (collègues, superviseur et organisation) et le bien-être psychologique au travail. Deux cent dix-sept travailleurs ont répondu à un questionnaire électronique autorapporté. Des analyses corrélationnelles ont permis d’établir que le soutien organisationnel perçu est la source de soutien la plus fortement reliée au bien-être psychologique au travail (r = .65, p < .001). Des analyses de médiation a posteriori permettent d’expliquer que le soutien organisationnel perçu serait un médiateur partiel du lien entre le soutien du superviseur et le bien-être psychologique au travail (tests de Sobel significatifs avec un alpha de 0.05). Ainsi, le soutien du superviseur semble contribuer à la formation du soutien organisationnel perçu et ce dernier serait la source de soutien la mieux corrélée avec le bien-être psychologique au travail.

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)0.002
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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.789
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.013

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 head0.057
GPT teacher head0.422
Teacher spread0.366 · 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