Ethical Aspects of Occupational Health
Bibliographic record
Abstract
Rather than focusing on legal issues, which vary between jurisdictions, the chapter considers ethical issues, the ones that challenge us all in our everyday practice. On the basis of the principle of equity, occupational health professionals should assist workers in obtaining and maintaining employment not withstanding health status or any ‘lack of ability’. As there is a wide range of duties, obligations and responsibilities as well as complex relationships among those concerned and involved in occupational safety and health matters it calls for a clear view about the ethics of occupational health professionals and standards in their professional conduct. Special attention should be given to ethical dilemmas which may arise from pursuing simultaneously objectives which may be competing such as the protection of employment and the protection of health, the right to information and confidentiality, and the conflicts between individual and collective interests.
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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 | 0.021 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.035 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.013 | 0.009 |
| Insufficient payload (model declined to judge) | 0.006 | 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".