Translink and the 2010 Olympic Winter 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
The South Coast British Columbia Transportation Authority (TransLink) is responsible for the regional transportation network in the Vancouver metropolitan area. This article discusses how TransLink built on their operational expertise from other large events and cooperation with regional stakeholders to provide excellent mobility for the large crowds of visitors to the 2010 Olympic and Paralympic Winter Games. TransLink was part of the planning process from the beginning, including developing a transit strategy that was part of the city’s winning bid for the Olympics in 2003. The strategy balanced the needs of visitors with those of existing transit customers. Five main strategies were identified: focus resources on a simple network of primary routes; provide a mixture of scheduled and dispatched services; manage peak demand surges; coordination with transportation partners; and commitment to accessibility. In anticipation of the event, significant capital investments were made to create a new rapid transit line, add rail vehicles and buses, and invest in a new SeaBus to replace an aging and smaller passenger ferry. Record transit ridership during the Games was achieved. Customer feedback was overwhelmingly positive. It is hoped that the positive experience of local travelers who used transit during the Olympics will have a permanent effect on their travel behavior.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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