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Record W642776489

Private Sector Involvement in Canada’s Public Transport

2006· article· en· W642776489 on OpenAlexaboutno aff
P. Redondo Bellón

Bibliographic record

VenuePublic transport international · 2006
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicTransport and Economic Policies
Canadian institutionsnot available
Fundersnot available
KeywordsPublic transportRevenueTransit (satellite)Flexibility (engineering)Government (linguistics)BusinessPrivate sectorTransit systemPrivate transportFinancePublic sectorTransport engineeringPublic administrationEconomicsEconomic growthEconomyEngineeringPolitical science
DOInot available

Abstract

fetched live from OpenAlex

This article considers the public and private sector involvements in Canada’s public transport system, the Canadian Urban Transit Association (CUTA). The author describes how the vast majority of systems have reverted to government, but how some are contracted out to private operators in specialized transit and smaller community conventional transit. These competitive contracts are beneficial because they encourage innovations in operating practices and increase the efficiency of operations while minimizing unproductive hours. Rather than only providing financial benefits, administrative flexibility is a strong motivator which, in turn, results in the opportunity for additional revenue and improved efficiency. The author briefly mentions a couple of case examples where this has proven out: Whistler Municipal public transport system in the province of British Columbia, and the GO Transit suburban commuter rail in the Greater Toronto area.

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)0.002
metaresearch head score (Gemma)0.004
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: Empirical
Teacher disagreement score0.100
Threshold uncertainty score0.724

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0130.003
Scholarly communication0.0060.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.000

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 head0.020
GPT teacher head0.184
Teacher spread0.164 · 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

Citations0
Published2006
Admission routes1
Has abstractyes

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