Call for action on radon in child care settings
Bibliographic record
Abstract
Radon is a naturally occurring radioactive soil gas that can build up to harmful levels in indoor spaces. It is a known carcinogen and the second leading cause of lung cancer in Canada. Despite its known risks and the availability of testing and remediation measures, most child care facilities in Canada are not tested to ensure that radon levels are below the Canadian guideline. We examine recent efforts to promote radon action in the child care sector and conclude that voluntary approaches that rely on child care staff to “go it alone” in ensuring radon safety often fall short. Such approaches are unlikely to achieve radon safety at every child care program and thus could exacerbate health inequities given uneven resources and capacity. A review of the regulatory landscape reveals specific requirements for radon testing in child care facilities remain scarce in Canada, despite their existence elsewhere. Other available legal instruments that address radiation more generally, and that could apply to radon in child care facilities, are underutilized. We argue that, whether through regulations, licensing requirements or ministry-funded programs, a comprehensive approach to radon safety in child care settings is needed to protect both children and staff.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.010 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.008 | 0.008 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".