Toronto’s apartment tower renewal initiative: infusing value into surplus lands for community development
Bibliographic record
Abstract
Toronto is home to over 1,189 apartment towers built between 1945 and 1984, following LeCorbusier’s “tower in the park” model. Today, many apartment towers communities are fraught with issues that demand immediate and focused attention. Several towers are now approaching 50 years of age, and are beginning to show signs of decay, neglect, and decline, presenting concerns surrounding their physical condition, environmental impacts, and access to essential amenities within close proximity. The former Mayor of Toronto David Miller responded by initiating a study to identify solutions to growing concerns, and financing strategies to achieve it. Notwithstanding these issues, tower neighbourhoods have access to an exorbitant amounts of surplus lands that could accommodate infill activities, and spur investments in these neighbourhoods. The goal of this paper is to assess if surplus lands can be leveraged as the primary funding source to finance the goals and objectives of Toronto’s tower renewal initiative.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".