Negotiating Social Mix in <scp>T</scp>oronto's First Public Housing Redevelopment: Power, Space and Social Control in <scp>D</scp>on <scp>M</scp>ount <scp>C</scp>ourt
Bibliographic record
Abstract
Abstract This article examines the experience of social interaction in T oronto's D on M ount C ourt community, the first socially mixed public‐housing redevelopment site in C anada. Similar to the A merican HOPE VI program, redevelopment involved the demolition and mixed‐income reconstruction of the community to include both public housing and new market condominiums with a neo‐traditional redesign. Based on participant observation, this article describes four struggles that emerged over the course of a series of mixed‐income community governance meetings intended to promote social inclusion. These struggles related to (1) unequal power relations in shaping local priorities; (2) the power to brand the community and define its aesthetic characteristics; (3) the power to define and use public space; and (4) power over modes of surveillance and exclusion. The findings challenge the myth that the ‘benevolent’ middle class will use their political influence and social capital to the benefit of their low‐income neighbors in mixed neighbourhoods. Instead, the research found that public‐housing tenants were often on the receiving end of antagonism. It is argued that policymakers intent on ameliorating problems related to residence in disadvantaged communities should focus on funding for social programs and transformative change, rather than on public‐housing demolition and state‐driven gentrification via mixed‐income redevelopment.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.027 | 0.018 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.002 | 0.004 |
| 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".