Rescaling Ambitions: Waterfront Governance and Toronto's 2015 Pan American Games
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Toronto is a rare global city because negotiating public land ownership remains a defining feature of the city's urban politics. The awarding of the 2015 Pan American Games to Toronto is a prime occasion to witness how fragmented governance can limit the ambition and enthusiasm of a sporting mega‐event. Historically, Toronto has not been known for its ability to host large‐scale sporting events but it has recently used a series of failed Olympic bids and smaller sporting events to trigger piecemeal “legacy” development. In this article we argue that the awarding of the Pan American Games to Toronto was predicated on a process that removed local politics from the bidding process. Focusing on the development of the athletes’ village in the West Don Lands and incorporating a number of interviews with key stakeholders across Toronto, this research illustrates that the heavy involvement and investment of the Province of Ontario in the Pan American spectacle forces us to ask: Whose waterfront? Whose games?
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it