Indoor radon regulation in Canada: Civic engagement of concerned scientists
Bibliographic record
Abstract
BACKGROUND AND AIM: The World Health Organization recommends 100 Bq/m3 as a reference level for indoor radon. However, Canada’s federal guideline remains at 200 Bq/m3, even though a significant number of lung cancer cases are predicted to occur below this level. The study reviews current radon reference levels in industrialized countries and explores the role that scientist engagement, application of environmental epidemiology and public advocacy play in shaping the regulatory landscape. METHODS: Review of policy documents and public consultations, and peer-reviewed articles. RESULTS:Over the past ten years, new dosimetric modeling studies and occupational cohort evidence have added to the body of evidence with regard to radon’s carcinogenic potential. This new evidence highlights the danger posed by living and working in buildings with even in relatively low levels of radon. In Europe, many countries have established limits that reflect this evidence, although the North American policy landscape has seen little change. Some of the drivers of European policy change include the engaged role of scientists in knowledge translation and the centralized nature of the European Union’s regulatory framework. CONCLUSIONS:New scientific evidence continues to affirm the dangers of radon gas exposure at low levels and North American governments should reassess their current regulatory landscape in response. More engaged knowledge translation by scientists may help bridge the gap between evidence and policy in North America. KEYWORDS: Radon, Canada, Civic engagement,
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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 | 0.026 | 0.044 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.025 | 0.011 |
| Scholarly communication | 0.011 | 0.002 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.007 | 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".