A Natural Intervention Study: Closure Of The Oakville Oil Refinery
Bibliographic record
Abstract
INTRODUCTION: Under the Clean Air Regulatory Agenda, Health Canada is mandated to study the effect of air pollution from various industrial sources on Canadian population health. An oil refinery in Oakville, Ontario in 2004-05, providing an opportunity for a natural experiment, comprising analysis of the effects of changes in oil refinery-related air pollution on human health. METHODS: To evaluate the impact of the oil refinery-related air pollution on public health, we compared air pollution levels and both cause-specific hospitalizations and mortality counts before and after the refinery closure based on a balanced two-period design. The refinery was located between two census subdivisions, Oakville and Burlington, which were considered the primary impacted areas. The next closest census divisions, comprising the Greater Toronto Area and Hamilton, were used as reference population. We examined wind speed and direction to be able to demonstrate reduction in air pollution. RESULTS: About 6,000 tonnes of sulphur dioxide (SO2) were emitted annually by the refinery prior to its closure. Following the refinery closure, ambient SO2 concentrations dropped on average 13% in Oakville and 21% in Burlington. Cold season age-standardized circulatory mortality rate decreased significantly after refinery closure (p
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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 | 0.001 | 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 | 0.000 | 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) | 0.000 | 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".