The air pollution contributions of a large-scale suburban development
Bibliographic record
Abstract
In 2007, Toronto Public Health found that air pollution from traffic causes as many as 440 premature deaths and 1,700 hospitalizations annually in the city. Many researchers have demonstrated the links between urban design and vehicle use, however little research has been done to address the air pollution contributions of vehicle-dependent, large-scale suburban developments. To address this deficiency, this study estimated the air pollution contributions of a 6,755 unit approved subdivision, to be built in the Town of Richmond Hill, Ontario. Using the Canadian Mortgage and Housing Corporation's Tool for Evaluating Neighbourhood Sustainability and Transporation Canada's urban Transportation Emissions Caculator the quantity of vehicle-produced criteria air contaminants were estimated for the development in the years 2010 and 2030. The quantity of CAC emissions estimated for both 2010 and 2030 suggest that the forecast emissions from the development are non-trivial and that further study should be conducted to estimate the health impacts of this development.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".