The New Normal: The Figure of the Condo Owner in<scp>T</scp>oronto's<scp>R</scp>egent<scp>P</scp>ark
Bibliographic record
Abstract
Abstract In this paper, I explore the newly emergent figure of the condo owner inToronto'sRegentPark,Canada's first and largest government housing project, which is being razed and rebuilt in a $1 billion redevelopment. The revitalized neighborhood will contain a mix of subsidized and condominium housing, and commercial development. Against this backdrop of massive change, the figure of the condo owner is perceived both as a salve and a threat. The redevelopment is premised upon the need to “normalize”RegentPark through the creation of a mixed‐income neighborhood, and the figure of the condo owner is deployed as a paragon of this “new normal.” However, the presence of the condo owner also evokes fears of privatization and a diminished voice for low‐income residents. Drawing on fieldwork conducted withinRegentPark, I examine how the figure of the condo owner is constituted in service to the redemption of a devalorized neighborhood, and how the condo owners negotiate this subject position. [urban revitalization, social mix, poverty, gentrification, Toronto].
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.043 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".