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Record W565102446

Benefits of Strategic Freight Movement in Saskatchewan

2009· article· en· W565102446 on OpenAlexaboutno aff
Darrell Hevenor Smith, S Hordenchuk

Bibliographic record

Venue2009 ANNUAL CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION IN A CLIMATE OF CHANGE · 2009
Typearticle
Languageen
FieldEngineering
TopicMaritime Ports and Logistics
Canadian institutionsnot available
Fundersnot available
KeywordsTruckTrainTransport engineeringBusinessCommodityRail freight transportFlexibility (engineering)Service (business)Trucking industryFreight trainsIndustrial organizationFinanceEngineeringMarketingEconomicsGeography
DOInot available

Abstract

fetched live from OpenAlex

Saskatchewan's inter-modal facilities (IMFs) enhance the movement of goods through efficient and seamless methods of transferring containers between trains and commercial trucks. In Saskatchewan, because of its geographical nature of highly populated urban hubs and less populated rural spokes there is an economic advantage for rail to cooperate with the trucking industry instead of competing. At a hub, freight is consolidated into larger flows that are routed to other larger hubs by high frequency, high capacity transportation services like rail. Rail dominates in the long distance bulk commodity marketplace where trucks are less efficient and where transit times are less of a concern. Lower frequency services are operated between closer hubs and consumer-destination terminals, in smaller communities, would be best served by commercial trucks. Many of these locations are no longer serviced by main rail or short line service. Trucking dominates in the short distance, time-sensitive, small shipment marketplace. Because of its flexibility and efficiency, trucking is ideally suited for the just in time movement of high value added manufactured goods. It will be eventually the cooperation between trucking and rail that will determine the success for intermodal transportation in Saskatchewan.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.705
Threshold uncertainty score0.974

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 communication0.0000.000
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 head0.026
GPT teacher head0.214
Teacher spread0.188 · 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 designObservational
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

Citations0
Published2009
Admission routes1
Has abstractyes

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Same venue2009 ANNUAL CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION IN A CLIMATE OF CHANGESame topicMaritime Ports and LogisticsFrench-language works237,207