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Record W593394539

In Turbulent Waters: British Columbia Ferry Service Inc., 1985-2012

2013· preprint· en· W593394539 on OpenAlexaboutno aff
Malcolm G. Bird

Bibliographic record

VenueRePEc: Research Papers in Economics · 2013
Typepreprint
Languageen
FieldEngineering
TopicMaritime Ports and Logistics
Canadian institutionsnot available
Fundersnot available
KeywordsSubsidyGovernment (linguistics)Service (business)PopulationBusinessPoliticsCapital expenditureControl (management)Capital (architecture)FinanceGeographyEconomicsMarketingPolitical scienceManagementMarket economy
DOInot available

Abstract

fetched live from OpenAlex

BC Ferries is a provincially owned and operated provider of marine transportation services in British Columbia on Canada’s Pacific West coast. In 2012, it moved over 20 million people and 7.8 million vehicles and is a critical component of the provinces’ transportation infrastructure. Almost one-third of the province’s population is dependent on it services and as such both it, and its operations, are highly sensitive political concerns for the government of BC. It is a firm that faces significant challenges since it has large capital expenses, a very high and rigid operational cost structure and, most critically, its user rates have been stagnant for the last twenty years, due to structural factors outside of its control. As such, both its operational and subsidy costs have grown in proportion to its user numbers, and its fares, too, have increased considerably. Despite efforts to depoliticize this firm’s operations, and to make it an independent operating entity, this is a futile exercise given the intense popular and political sensitivities surrounding its operations.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.059
Threshold uncertainty score0.256

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.009
Science and technology studies0.0030.000
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0590.015

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 head0.021
GPT teacher head0.252
Teacher spread0.231 · 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 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

Citations1
Published2013
Admission routes1
Has abstractyes

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