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Record W4221035997 · doi:10.1037/apl0000557

A meta-analysis of leadership and workplace safety: Examining relative importance, contextual contingencies, and methodological moderators.

2022· review· en· W4221035997 on OpenAlexfundno aff
Zhanna Lyubykh, Nick Turner, M. Sandy Hershcovis, Connie Deng

Bibliographic record

VenueJournal of Applied Psychology · 2022
Typereview
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsTransformational leadershipPsycINFOPsychologyLeadership styleWorkforceVariance (accounting)Meta-analysisSocial psychologyApplied psychologyShared leadershipTransactional leadershipPolitical scienceMEDLINEBusinessMedicine

Abstract

fetched live from OpenAlex

= 104,364), we find that although leadership behaviors are associated with workplace safety, the leadership categories vary considerably in their relative importance. Task-oriented leadership followed by relational-oriented leadership emerge as the most important contributors to workplace safety. Change-oriented leadership (which includes transformational leadership) does not emerge as the largest contributor for any of the seven tested safety variables, despite it being the most frequently examined leadership model in the workplace safety literature. Effectiveness of leadership behaviors in relation to workplace safety varies by national culture power distance, industry risk, workforce age, as well as by contextualized forms of leadership (i.e., safety-specific vs. generalized). Finally, there is meta-analytic evidence for publication bias and common-method variance. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.024
metaresearch head score (Gemma)0.068
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.976
Threshold uncertainty score0.126

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0240.068
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0090.023
Bibliometrics0.0100.013
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.792
GPT teacher head0.599
Teacher spread0.193 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designMeta-analysis
DomainMethods
GenreReview

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".

Quick stats

Citations88
Published2022
Admission routes1
Has abstractyes

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