Social Housing in a Competitive City : Exploring the Evolution and Impacts of Changes in Toronto's Social Housing System
Bibliographic record
Abstract
This paper seeks to explore the evolution of social housing policy in Toronto as well as provide insight into new "revitalization" initiatives. After identifying key trends in social housing, it compares these insights with the opinions expressed in interviews with key informants in Toronto's housing sector. The implications of this research reveal several important findings. First, in regard to the supply of social housing, it is clear that Toronto is in the midst of a housing crisis. Secondly, despite significant research that casts doubts on the proposed benefits of new "revitalization" schemes, key informants in the sector appear to have accepted the current agenda of the social housing sector. The entrenchment of such opinions, it is argued, marks a clear change from past priorities in social housing and also contributes to the overshadowing of the dismantling of the social housing sector at a time when it is most needed.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".