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Record W774358093

ROUGH RIDE FOR VIA'S RENAISSANCE FLEET

2004· article· en· W774358093 on OpenAlexaboutno aff
B Johnston

Bibliographic record

VenueTrains · 2004
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicTransport and Economic Policies
Canadian institutionsnot available
Fundersnot available
KeywordsThe RenaissanceUpgradeService (business)DoorsAeronauticsEngineeringTelecommunicationsBusinessComputer scienceHistoryArt historyMarketing
DOInot available

Abstract

fetched live from OpenAlex

VIA Rail Canada celebrated the 100th anniversary of its signature eastern train, the Ocean, in 2004. VIA was going to convert this line entirely to European-style Renaissance cars but has been unable to do so because of delays in winterization and retrofitting of the cars. VIA had to upgrade the steps and piping on the Renaissance cars and install a centralized wheel-bearing-monitoring system. The fact that all cars are permanently coupled to each other presents a maintenance challenge. Another challenge arose when VIA learned that its Renaissance cars did not meet the accessibility guidelines of the Council of Canadians with Disabilities. The Canadian Transportation Agency ordered VIA to implement 14 modifications ranging from widening doors to providing more space for service animals. Furthermore, the service-car lounges in Renaissance cars are small, and the cars lack open sections, roomettes and triple bedrooms, and the diner has a serving pantry but no kitchen. Thus, it is uncertain when the full transition to a Renaissance fleet will take place.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.553
Threshold uncertainty score0.900

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0040.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0520.008

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 head0.029
GPT teacher head0.228
Teacher spread0.198 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2004
Admission routes1
Has abstractyes

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