Workplace stress and well‐being across cultures: research and practice
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.040 | 0.064 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.004 | 0.011 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".