How can the development permit system be used to achieve residential intensification outcomes in the suburbs?
Bibliographic record
Abstract
The Province of Ontario made the Development Permit System (DPS) available to all municipalities in 2006, with the hope that municipalities could use this new tool to achieve various policy objectives, including intensification. Under the Growth Plan, municipalities have been instructed by the Provincial government to identify areas for redevelopment in order to meet the 40 per cent intensification target. Many suburban municipalities have been challenged to meet this target, and have requested Provincial assistance, and/or new regulatory tools. The DPS is one tool that has seen little use. This Major Research Paper explores the viability of the DPS for achieving intensification objectives in Port Whitby. The four existing DPS by-laws are compared, and other alternatives to zoning from different jurisdictions are reviewed. Lessons learned are incorporated into a set of recommendations to inform the Town of Whitby’s approach to their upcoming Port Whitby zoning review. Key words: Land use planning, intensification, policy implementation, planning tools
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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 | 0.010 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".