Indoor-outdoor relationship of SO<sub>2</sub> concentrations in a rural and an urban community of Alberta
Bibliographic record
Abstract
Passive monitoring techniques were used to measure 7-day average concentrations of SO2 in indooroutdoor air in two Alberta communities, Boyle (population 860) and Sherwood Park (population 42 000). Sampling occurred during a 5-week period in late fall, a time of year when SO2 is less reactive in the outdoor environment. Outdoor levels of SO2 at 12 homes in Boyle (median 4.3 µg/m3, range 3.75.6 µg/m3) were two times lower than those at 13 homes in Sherwood Park (median 9.9 µg/m3, range 8.213 µg/m3). Slightly higher indoor SO2 levels were measured in Sherwood Park homes (median 1.4 µg/m3, range 0.95.2 µg/m3) than in Boyle homes (median 0.5 µg/m3, range 0.22.3 µg/m3). These results are consistent with the characteristics of the two communities involved in this study. Sherwood Park has many more SO2-related emission sources than in Boyle (i.e., increased vehicle traffic and industrial emissions). Indoor and outdoor SO2 levels measured in both communities were [Formula: see text]13 µg/m3. These levels are considered low compared with benchmark levels intended for protection of people: 365 µg/m3 averaged over 24 h (short-term exposure) or 80 µg/m3 averaged over 1 year (long-term exposure). The median indooroutdoor SO2 concentration ratio was 0.13 for both communities.Key words: air quality, indoor, outdoor, passive monitoring, sulphur dioxide.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".