A Mixed-Methods Evaluation of Total Worker Health® Training Transfer in México
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: This study evaluated training transfer after a Total Worker Health (TWH) training with Mexican safety engineers and occupational medicine physicians and residents. METHODS: We used a mixed-methods analysis to assess responses before and after training and 3 months after. RESULTS: Nearly three quarters (73%) of the participants applied a TWH concept from the course into their work. Over half (52%) of the participants worked to change the way they applied the TWH approach, and examples included broadened awareness of what health means at work and the need for workforce engagement. While changes in TWH practices occurred, gaps remained. CONCLUSIONS: The TWH training facilitated behavior changes, particularly in leadership for TWH practices. Factors supporting skill transfer included a national-level TWH-type program, positive mindsets, and willingness to implement change. Additional training is needed to address specific skills in TWH risk assessment and controls.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it