SS34-04 WHWB ADVOCACY ACTIVITIES FOR OLD AND EMERGING RISKS: COVID-19, ACCELERATED SILICOSIS FROM ARTIFICIAL STONE COUNTERTOPS, AND ASBESTOS EXPOSURE
Bibliographic record
Abstract
Abstract Introduction Workplace Health Without Borders (WHWB – www.whwb.org) engages in global OSH activities to foster improved worker health. Members volunteer their time to offer training, mentoring, advocacy, and technical assistance to develop capacity for preventing occupational disease and injury around the world. Materials and Methods During the global COVID-19 pandemic, WHWB held 22 webinars on topics related to COVID and infection control in a variety of countries. In 2022-2023, WHWB offered webinar series on asbestos and silica exposure from engineered countertops. Special emphasis on WHWB communicating the risk from silica exposure and control has included the ‘silica control tool’ being piloted by the Occupational Health Clinics for Ontario Workers Inc. (OHCOW), Canada. During the ICOH2022 Congress, Dr Ryan Hoy presented on ‘Artificial stone-associated silicosis: A rapidly emerging occupational lung disease’, raising awareness of the urgent issue of accelerated silicosis in the stone benchtop industry in Australia. Results The WHWB global webinars on silica exposure led to the development of a tool or model that can be used to both understand and communicate the risk of exposure to silica. The tool predicts exposure levels with and without control measures, and can be used to develop an effective control plan. The recorded webinars are available on the WHWB channel on youtube: (https://www.youtube.com/channel/UCj5PLvW65Lr0feLYGVLBnmQ). Conclusions The advocacy activities of WHWB around old and emerging hazards have been a valuable contribution to the WHWB mandate of building capacity globally, and particularly in resource-poor settings. The ‘silica control tool’ may be applicable to many workplaces around the world.
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How this classification was reachedexpand
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 | 0.000 | 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) | 0.001 | 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 teacher head, 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".