Impacts of Stress and Well-Being on Organizations and Societies
Bibliographic record
Abstract
Worldwide adverse impacts of occupational stressors are timeless concerns to humanity. These impacts not only disrupt mental and health well-being of workers and their families but also impede growth and prosperity of organizations, societies, and nations. In this chapter, we first reviewed to what extent occupational stressors have created burdens on organizations and nations in terms of economic costs (e.g., productivity loss and health care cost) and health outcomes (e.g., morbidity and mortality). After that, we reviewed work-related legislations enacted to address five occupational stressors (i.e., age discrimination, racial discrimination, sex discrimination, sexual harassment, and workplace bullying). To conduct the review, we surveyed these legislations across each continent/ geopolitical region, including Australia, Canada, China, France, Germany, Russia, Singapore, Slovakia, South Africa, South Korea, the UK, and the US. Finally, we summarized the progress of occupational stress research and offered ways of advancing preventive organizational stress management.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".