Bridging Frameworks: A Comparison of Occupational Health and Safety’s Hierarchy of Controls and the International System of Radiological Protection
Bibliographic record
Abstract
ABSTRACT: Those responsible for radiological protection in the workplace come to the role through many different pathways. In the process of training radiation safety officers and x-ray safety officers, instructors at the Radiation Safety Institute of Canada have observed that, while many course participants will have previous radiological protection training, it is common for a significant number to have experience managing traditional occupational health and safety or industrial hygiene programs and no radiological protection background. Humans use mental models or schemas to understand the world. They assimilate new information based on their existing schemas. Those formally trained in radiological protection are well versed in the International System of Radiological Protection, based on the fundamental principles of justification, optimization, and limitation as described in International Commission on Radiological Protection Publication 103. Those with training in occupational health and safety or industrial hygiene in Canada or the United States work within a framework called the hierarchy of controls. Given here is a comparison of these safety frameworks with consideration of how the health and safety schema of these two groups of radiological protection personnel may differ and areas on which to build a common understanding of radiological protection in the workplace. Hopefully, consideration of this topic will lead to improved communication and help safety professionals avoid misconceptions that might arise owing to differences in foundational knowledge.
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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 | 0.018 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.003 | 0.015 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".