Publicly-led proactive and privately-led reactive planning : a comparison of comprehensive planning and development approaches between East Bayfront and King-Liberty Village
Bibliographic record
Abstract
This research examines two sites in downtown Toronto undergoing large-scale comprehensive brownfield redevelopment schemes. While city agencies helped to spur initial investment in King-Liberty Village, most changes have been privately-led while the planning department has attempted to incrementally guide development and the inclusion of specific public amenities. Waterfront Toronto's planning of East-Bayfront is seen as a strategic public investment and has undergone proactive policy-led planning. These differing frameworks have resulted in contrasting outcomes. While the planning and development framework of the latter has created the conditions for a neighbourhood well-serviced by transit and more robust parkland, affordable housing and sustainability goals, it has required enormous public investment. The process in King-Liberty Village is more indicative of the challenges facing other private redevelopments that often require greater public planning resources than are available to ensure Toronto's continued growth is sufficiently accommodated.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| 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 | 0.001 | 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".