What Will the Legacy of the Pan American and Parapan Games 2015 be for Toronto? Looking at Past Successes and Failures to Inform Toronto's Experience
Bibliographic record
Abstract
The 2015 Pan American and Parapan American Games will be hosted in Toronto. The Athletes’ Village is being constructed in the West Don Lands and post Games will be transformed into a mixed-use community. Due to the scale of the project and brief duration of the Games, the creation of this new neighbourhood in Toronto is a sizeable undertaking but has the potential to accommodate Toronto’s anticipated growth and serve to connect the Waterfront from east to west. The central issue for this paper is identifying the legacy aspects of the Athletes’ Village and how stakeholders can work to mitigate any potential negative impacts identified. The investigation will focus on the social, environmental and economic impacts. Recommendations for stakeholders are presented based on the research approach which included interviews, a review of literature as well as case studies of previous sporting events in Winnipeg, Vancouver, Calgary, Rio de Janeiro, Brazil and Guadalajara, Mexico.
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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 | 0.002 |
| Science and technology studies | 0.014 | 0.006 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".