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 in T oronto's R egent P ark, C anada'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” R egent P ark 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 within R egent P ark, 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 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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".