The role of adaptive reuse in building resilience urban communities : a case-based review of praxis in Toronto, Ontario
Bibliographic record
Abstract
Support for adaptive reuse as an urban sustainability strategy has been strengthened in response to recent discussions concerning resource management, environmental protection, and urban revitalization. Studies conducted throughout Europe, North America and Australasia have demonstrated the advantages and procedural barriers of successful adaptive reuse. This study explores the praxis of adaptive reuse in Toronto, Canada, through an analysis of three project case studies: the Distillery Historic District, the Don Valley Brick works, and Wychwood Barns. In addition to a review of site history and function, this study assesses the roles of stakeholders, the diversity and distribution of benefits, project inclusivity, and community impact. This research confirms the role of adaptive reuse in achieving cost savings, ecological preservation, heritage conservation, equity and empowerment, while noted barriers include complexities, funding uncertainty, and design and safety concerns. Finally, options for public incentive programs are included as a strategy for streamlining the reuse process.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".