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Record W654030484

Reinvention Road: Integrating the DM&E is a Key Cog in Canadian Pacific's Plan to Reposition Capacity Ahead of Traffic Demand Shifts

2009· article· en· W654030484 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

VenueProgressive railroading · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicTransport and Economic Policies
Canadian institutionsnot available
Fundersnot available
KeywordsTrainTransport engineeringKey (lock)Plan (archaeology)Modal shiftFreight trainsBusinessOfficerFinanceEngineeringComputer scienceComputer securityGeography
DOInot available

Abstract

fetched live from OpenAlex

This article details what Canadian Pacific’s chief executive officer calls a “reinvention” of the railway in preparation for the end of the recession when transportation patterns are expected to shift. Those expected shifts, including fewer Chinese imports and raw material exports flowing in and out of Canadian West Coast ports, are requiring railroads to reposition capacity and redesign transportation patterns. As part of that repositioning, Canadian Pacific (CP) is depending heavily on the integration of the Dakota, Minnesota & Eastern (DM&E) Railroad to provide Class I access to key markets in the U.S. Midwest. CP plans to use fewer assets to move longer trains, and to apply a “pull-push” model to its international intermodal business. The company is also implementing a train accident prevention program.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.295
Threshold uncertainty score0.953

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 communication0.0000.001
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 head0.022
GPT teacher head0.230
Teacher spread0.208 · 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