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Record W2805085289 · doi:10.1504/ijhrdm.2018.092287

The mediating role of work engagement between psychosocial safety climate and organisational citizenship behaviours: a study in the nursing and health sector in Quebec

2018· article· en· W2805085289 on OpenAlex
Sari Mansour, Diane‐Gabrielle Tremblay

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

VenueInternational Journal of Human Resources Development and Management · 2018
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsUniversité TÉLUQUniversité du Québec à Montréal
Fundersnot available
KeywordsPsychosocialCitizenshipAltruism (biology)Safety climateWork engagementWork (physics)Compliance (psychology)PsychologyOrganizational citizenship behaviorSocial psychologyNursingPolitical scienceOccupational safety and healthMedicineOrganizational commitmentPsychiatryEngineering

Abstract

fetched live from OpenAlex

The objective of this research, conducted with 562 staff working in the health sector in Quebec (Canada), mainly nurses, is to examine the direct and indirect effects of the psychosocial safety climate on work engagement and organisational citizenship behaviours. The results of structural equations show that the psychosocial safety climate increases engagement (vigour, dedication and absorption). However, it has no direct effect on organisational citizenship. The bootstrap results indicate that vigour, dedication and absorption all mediate the relationship between psychosocial safety climate and altruism and compliance; however, the indirect link between climate and altruism through absorption is not significant.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score0.715

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.103
GPT teacher head0.462
Teacher spread0.359 · 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