Instructor Training on Opioids and the Workplace, Prevention and Response in the Plumbing and Pipe-Fitting Industry: An Interview With Cheryl Ambrose
Bibliographic record
Abstract
Workers in the plumbing and pipe-fitting industry experience a wide variety of physical and emotional pain related to job hazards and lifestyle issues. Pain treatment and stress can lead to prescription or illicit substance use. The United Association of Journeymen and Apprentices of the Plumbing and Pipe-Fitting Industry of the United States and Canada has taken on these issues by adapting training developed by the National Institute of Environmental Health Sciences, Opioids and the Workplace, Prevention and Response Training. Under the leadership of Cheryl Ambrose, Health, Safety, and Environmental Administrator, the United Association of Journeymen and Apprentices of the Plumbing and Pipe-Fitting Industry of the United States and Canada has added an instructor training course and is tailoring the National Institute of Environmental Health Sciences curriculum to industry and union needs.
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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 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.004 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.006 | 0.013 |
| Insufficient payload (model declined to judge) | 0.004 | 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".