Creating a positive mega-event legacy : exploring the impact of the Pan American games on the west Don Lands community, Toronto
Bibliographic record
Abstract
In November 2009, the Pan American Sports Organization (PASO) announced that Toronto won the bid to host the 2015 Pan and Parapan American Games. The Toronto bid included many ambitious policies and challenging development projects. One of the most notable development projects is the construction of the Athletes' Village on the West Don Lands (WDL), a former industrial area that Waterfront Toronto has been working to revitalize. The construction of the Village is supposed to compliment the existing plan for the WDL revitalization, as outlined in the Precinct Plan, which aims to develop the site into a mixed-use community. The intent of this Masters Research Paper is to explore whether using the WDL as a temporary site for the Village will leave a positive post-game legacy, where the goals originally set for the site are actualized. Lessons learned from three previous Olympic village conversions will be used to develop four factors that indicate whether a successful post-game village conversion will occur on the West Don Lands.
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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 | 0.001 |
| Science and technology studies | 0.014 | 0.008 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".