Protecting Our Children: A Scan of Canadian and International Children's Environmental Health Best Practices
Bibliographic record
Abstract
Environmental factors, such as outdoor air pollution, are estimated to be responsible for 13 percent of Canada's overall disease burden. This burden can be expected to be even higher among children, due to unique developmental, behavioral, and physiological factors. Understanding how to reduce exposures to protect children from environmental health risks is essential for improving children's health and ultimately the health of all Canadians. In this paper, we explore elements of environments in Canada and other industrialized nations that impact child health, and investigate domestic and international best practices related to protection against children's environmental health risks. We conducted an environmental scan of Canadian and international English-language literature covering the years 2002–2013. The most frequently identified environment-related health issues include allergic disease, neurodevelopmental disorders, cancers, endocrine system disorders, and reproductive health problems. Recommendations for reducing the environmental health disease burden among children include increased use of the precautionary approach to exposure prevention, development of a stronger evidence base, a greater focus on vulnerable populations, and improved environmental health education for health care providers.
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 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 | 0.001 | 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 | 0.001 | 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) | 0.000 | 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".