ASSESSMENT OF MULTI-MODAL IMPACTS OF DEVELOPMENT IN A HIGH DENSITY URBAN AREA
Bibliographic record
Abstract
A transportation study, conducted in a mixed-use area with high density commercial/residential development surrounding a major midtown subway station in Toronto, Ontario, Canada, is reviewed. The impetus for the study was a proposal for development far exceeding the approved density under the City's Official Plan. The potential precedent which could be set by this development indicated the need for an analysis of the implications for similar levels of redevelopment across a broader area within 4 to 5 blocks of the subway. There was a high level of concern in the adjacent stable residential communities, relating to traffic impacts, impacts on the subway system, and pedestrian impacts, both at-grade and in subway accesses. To address the concerns, an enhanced multi-modal assessment method was applied. The paper focuses on the acceptance of the analysis by the community and the City of Toronto. Questions addressed relate to the limits of growth in a typical urban area of mixed commercial/residential uses, with a strong existing orientation to alternate modes.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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".