A Canadian First Nations radon assessment and COVID-19 restrictions: A difficult pairing
Bibliographic record
Abstract
Radon is a known carcinogen and a by-product of degrading naturally occurring radioactive elements. The North Shore Micmac District Council (NSMDC) board of directors, in Eastern New Brunswick, Canada, were aware of this issue and saw a need for increased radon testing and awareness in their communities. The initial plan was to administer a testing blitz across communities to gauge the current levels of radon exposure in both residential and band-owned structures. This, with Elder consultation and a participant health survey, would create a data set used to guide future strategies effectively and better direct resources to mitigate the leading cause of lung cancer in non-smokers. These plans were put in place prior to the COVID-19 pandemic that began in March 2020. The subsequent provincial levels of restriction could not have been predicted. The ever-changing pandemic-related restrictions, and public health’s focus on a new deadly pathogen, led to difficulties managing and following through on many health and wellness projects. These circumstances led to a unique situation that delayed results, prolonged exposure to a known carcinogen, and may have consequences in the long term. Few procedures, treatments, or medications do not have side effects, and even warranted pandemic-related measures affect other aspects of health.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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".