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Record W2155359408 · doi:10.24124/c677/200878

A Container Terminal at the Port of Prince Rupert: considerations from a transportation perspective

2008· article· en· W2155359408 on OpenAlexvenueaboutno aff
Anne Goodchild, Susan A. Albrecht, Tsit Yuen Lam, Kasey M. Faust

Bibliographic record

VenueCanadian Political Science Review · 2008
Typearticle
Languageen
FieldEngineering
TopicMaritime Ports and Logistics
Canadian institutionsnot available
Fundersnot available
KeywordsPort (circuit theory)George (robot)DestinationsContainer (type theory)EconomyOperations researchHistoryArchaeologyEconomicsTourismEngineeringArt history

Abstract

fetched live from OpenAlex

This paper discusses the transport of containers between the Port of Prince Rupert and the hinterland. The result of several data collection and analysis efforts, we present a set of findings regarding the role Prince Rupert might play in North American transportation, and the particular strengths or weaknesses of this facility. In the short term, there will be no facilities for container rehandling in Prince Rupert. This activity may take place in Prince George, or more likely these importers may continue to use the facilities surrounding Vancouver. Given the current rail network, Prince George will be required to handle as much cargo as Prince Rupert. This will have negative impacts on air quality in Prince George, yet potentially positive impacts on employment and economic activity through rehandling and transloading opportunities. Due to sizeable resources in Western Canada, this Port may offer a better ratio of exports to imports than other West Coast terminals which will attract steamship lines looking for west-bound fares. Unfortunately, on multi-stop routes, this may also mean Prince Rupert is visited after other West Coast destinations, thereby reducing the benefit of being closer to Asia. Despite these uncertainties, we conclude that, because of its unique features, this Port has strong potential to impact logistics practices in a continental transportation system.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.961
Threshold uncertainty score1.000

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 studies0.0000.001
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 head0.024
GPT teacher head0.258
Teacher spread0.234 · 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.

Study designTheoretical or conceptual
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

Citations2
Published2008
Admission routes2
Has abstractyes

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