Mega-Events and Rapid Transit: Evaluating the Canada Line 10 Years After Vancouver 2010
Bibliographic record
Abstract
This article examines the Canada Line rapid rail transit project in Vancouver, British Columbia, a decade after its completion and the 2010 Winter Olympic Games for which it was accelerated. The case resides at the intersection of two project classes with well-documented patterns of underperformance: transit mega-projects and sporting mega-events. Beyond connecting a number of Vancouver 2010 venues, the Canada Line is notable for its use of a public-private partnership procurement (PPP) model, as well as the significant real estate development seen nearby. In particular, the article focuses on outcomes classified under three headings: procurement model, community impact, and land use impact. Prior to providing avenues for future research, this article finds that while the PPP model avoided substantial cost overrun risks, the lucrative operational concession was where the growth coalition pushing the project was able to make it sufficiently attractive for private partners, while externalizing cost on third-parties.
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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 | 0.005 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".