The Influence of Neighborhood Roadways on Respiratory Symptoms Among Elementary Schoolchildren
Bibliographic record
Abstract
OBJECTIVE: To investigate the respiratory health effects of living near roadways. METHODS: We administered a questionnaire to Windsor school children. Exposure to roadways was defined as the total length of roadways within a 200 meter radius around the postal code of each household calculated using geographic information systems. RESULTS: The adjusted odds ratios comparing the highest to the lowest exposure (roadway density) quintiles, were statistically significant for wheeze 1.23 (95% CI: 1.07 to 1.41) (P = 0.0041) and wheeze with dyspnea 1.27 (95% CI: 1.05 to 1.52) (P = 0.0125). Expressed as a continuous variable roadway density was associated with asthma, odds ratio 1.08 (95% CI: 1.012 to 1.149) equivalent to an 8% relative increase in the odds of asthma for an interquartile increase (0.6 km) in roadway density. CONCLUSIONS: Residential traffic appears to adversely influence respiratory health.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.002 | 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 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".