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Record W648714500

Translink and the 2010 Olympic Winter Games

2011· article· en· W648714500 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueITE journal · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsMetropolitan areaCrowdsTransit (satellite)BusinessAnticipation (artificial intelligence)Transport engineeringEvent (particle physics)Track (disk drive)Public transportMarketingComputer scienceGeographyEngineering
DOInot available

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.806
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.052
GPT teacher head0.293
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it