Occupational Stress: A Comprehensive Review of the Top 50 Annual and Lifetime Cited Articles
Bibliographic record
Abstract
This study determined the impact and influence of published articles on the field of occupational stress. A transdisciplinary approach was used to identify the 50 work-related stress articles with the most lifetime citations and the 50 work-related stress articles with the highest annual citation rates. Studies were categorized based on their primary focus: (a) etiology, (b) predictor of outcome for which occupational stress is the outcome or predictor of outcome for which occupational stress is an independent variable, (c) management/intervention, (d) theory/model/framework, or (e) methodologies. The majority of studies with the highest number of lifetime citations as well as the highest annual citation rates used stress as a predictor or outcome of another factor. The proportion of studies that were categorized by etiology, intervention/management, theory/model/framework, or methodologies was relatively low for both lifetime and annual citations.
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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 | 0.006 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.052 | 0.041 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
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".