From Theory to Practice: A Determinants Approach to Workplace Health Promotion in Small Businesses
Bibliographic record
Abstract
A determinants approach to workplace health promotion focuses on the sources of health and ill health in the workplace itself. Key practice requirements of such an approach include the capacity to shift focus beyond the individual to the work environment, to cross disciplinary and jurisdictional boundaries in identifying problems and solutions, to foster health promotion self-sufficiency within the workplace, to enable worker participation in the process, and to adapt practice strategies to a business setting. This article identifies the challenges of such practice by reference to the experiences of health promoters in a Canadian public health department who attempted a determinants-centered stress reduction program for small-sized businesses. Findings under-score the significance for workplace health promotion of the broader structural context in which the workplace and the intervention are located, of differing perspectives between health professionals and workplace parties, and of conflicting professional accountabilities. Possibilities for addressing these challenges are considered.
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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 | 0.028 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.008 | 0.040 |
| Scholarly communication | 0.018 | 0.009 |
| Open science | 0.004 | 0.010 |
| Research integrity | 0.005 | 0.007 |
| 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".