Community leadership and engagement after the mix: The transformation of Toronto’s Regent Park
Bibliographic record
Abstract
The CAD$1 billion transformation of Toronto’s Regent Park neighbourhood from Canada’s largest public housing site to a mixed income community is likely to inform the next several decades of public housing redevelopment policy both nationally and internationally. This paper focuses on the process and impacts of large-scale redevelopment, in the context of attempts to build a physically and socially inclusive neighbourhood incorporating non-market and market housing in downtown Toronto. Drawing from in-depth interviews with 32 Regent Park community leaders and other key decision makers, the paper explores how resident engagement and leadership development opportunities impact redevelopment processes in mixed income initiatives. Results focus on three key emerging areas of both strength and concern: (1) efforts to build community alongside the redevelopment as an integral, evolving and place-specific strategy; (2) the impacts and challenges of both a strong institutional environment in Regent Park and a sense of weak institutional memory; and (3) formal and informal leadership and mentorship opportunities and their contribution towards the development of engagement and cohesion in Regent Park. The opportunity for low-income housing initiatives to support knowledge building and learning, preservation of institutional memory and local leadership development is significant in the context of examining physical and social redevelopment.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".