Population Health Issues in the Management of Air Quality
Bibliographic record
Abstract
ABSTRACTEpidemiological studies conducted in a number of countries have consistently demonstrated associations between concentrations of ambient air pollution and adverse health outcomes, including premature mortality, cardiorespiratory hospitalizations, emergency department visits for respiratory diseases, asthma attacks, respiratory symptoms, and restricted activity. These associations have prompted regulatory agencies in several countries, including Canada, to either revise current air quality standards or establish new ambient guidelines. In this article, recent epidemiological research in Canada is briefly reviewed in relation to the establishment of PM10and PM2.5national air quality objectives. Economic approaches to evaluating costs and health benefits of controlling air pollutants are discussed, and their use illustrated in evaluating the consequences of reducing the sulphur content of gasoline. Ongoing epidemiological research on the health effects of air pollution is outlined, and strategies for evaluating and managing the health risks of air pollution examined.
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 | 0.034 | 0.042 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.011 | 0.009 |
| 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".