Occupational health crossing borders—Part 1: Concept, teaching methods, and user evaluation of the first international summer school in Munich, Germany
Bibliographic record
Abstract
BACKGROUND: Occupational health and safety (OHS) is relevant for occupational health professionals (OHP) throughout the world. However, training opportunities are often limited and exchange between OHP from industrialized and developing countries is sparse. We aimed to contribute to the international exchange of OHP through a 2-week summer school program. METHODS: Twenty-three OHP from 11 countries participated. Teaching methods included interactive lectures, participants' presentations, case-based e-learning, enterprise visits, and hands-on sessions. After completion, participants evaluated the course. RESULTS: OHS systems of 18 different countries were presented using the same set of clinical cases as a starting point. Opportunities and challenges in the different OHS systems were considered. On median, participants rated the course as excellent and totally agreed that it will help them in their daily work. CONCLUSIONS: An international summer school teaching basic aspects of different OHS systems is a useful tool for training and exchange at the global level.
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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 | 0.009 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".