Brownfield Redevelopment In Toronto, Ontario: An Examination Of Sustainability And The Toronto Portlands
Bibliographic record
Abstract
Brownfields are "abandoned, vacant, derelict or underutilized commercial and industrial properties where past actions have resulted in actual or perceived contamination" (NRTEE, 2003, p.1). Brownfield redevelopment, because of its contributions to urban sustainability, intensification and environmental quality, has become a critical issue in urban development literature of late. Through case-study research this paper aims to evaluate the relative sustainability of four Port Lands brownfield redevelopments that involve converting brownfields into green space in the City of Toronto. This study has shown how brownfield redevelopment and more specifically, turning brownfields into green space represent an application of all three pillars of sustainability. However, the exact extent of how this type of redevelopment represents an application of sustainable development cannot be truly measured or quantified. It has also highlighted the need to develop a comprehensive set of sustainability indicators that can be specifically applied to projects that aim to convert brownfields into green space.
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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 | 0.002 | 0.005 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".