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Record W1995967232 · doi:10.1108/13527601011016871

Workplace stress and well‐being across cultures: research and practice

2010· article· en· W1995967232 on OpenAlexaff
Ronald J. Burke

Bibliographic record

VenueCross Cultural Management An International Journal · 2010
Typearticle
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsYork University
Fundersnot available
KeywordsOriginalityValue (mathematics)Comparative researchSociologyPsychologySocial scienceQualitative researchComputer science

Abstract

fetched live from OpenAlex

Purpose This paper aims to raise some important questions for cross‐cultural research on occupational stress and well‐being and sets the stage for the five papers in the special issue. Design/methodology/approach This paper reviews some previous literature on cross‐cultural understanding of occupational stress and well‐being, why such research is difficult to undertake, and summarizes the five original manuscripts that comprise this special issue. Findings Manuscripts in this special issue represent authors from several countries and report data collected from over a dozen countries. Some contributions attempt to replicate previous North American and European research findings in other countries while others undertake comparative studies of two or more countries. Originality/value It is important to undertake more cross‐cultural comparative research of the effects of occupational stress and well‐being to determine whether any boundary conditions exist for previous results based in North American and European samples. In addition, future research should include assessments of some national culture values.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.503
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.118
GPT teacher head0.527
Teacher spread0.409 · 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 teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations44
Published2010
Admission routes1
Has abstractyes

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