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Record W1569076607

Westward Expansion: While the Trains Kept Moving, CPR Built New Capacity in Western Canada To Handle Surging Traffic

2005· article· en· W1569076607 on OpenAlexaboutno aff
William C Vantuono

Bibliographic record

VenueRailway age · 2005
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicTransport and Economic Policies
Canadian institutionsnot available
Fundersnot available
KeywordsTrainFreight trainsMountUpgradeTransport engineeringWork (physics)Investment (military)GeographyEngineeringArchaeologyComputer sciencePolitical science
DOInot available

Abstract

fetched live from OpenAlex

Canadian Pacific is spending $160 million to expand capacity in its western region on tracks and routes crossing the Continental Divide. The last major upgrade happened in the mid-1980s, when the Mount Macdonald Tunnel and the Fox Tunnel were blasted through the Selkirk Mountains in British Columbia. This newest project, called Western Capacity Expansion Project (Westcap) was the beginning of what could be a $500 million investment over the next five to 10 years. It was completed in October 2005, and it serves the rising number of exports from Canada through Vancouver, as well as imported containerized cargo from the Pacific Rim. Capacity is now up to 38 trains a day across the Rocky Mountains, an increase of more than 400 freight cars a day. It was done in the busiest corridor, and it consisted of almost all new construction. The article describes the amount and type of materials used and the scheduling methods to complete work in the short May-October season. Concrete tie laying, for example, had to be done in a way that did not foul adjacent tracks. Photographs depict some of the various installation methods that were used.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.483
Threshold uncertainty score0.759

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.036
GPT teacher head0.206
Teacher spread0.170 · 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 teacher head, not a consensus.

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

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

Citations1
Published2005
Admission routes1
Has abstractyes

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