MétaCan
Menu
Back to cohort
Record W127395072

Assessing and Reforming Vancouver's Taxi Regulations

2014· article· en· W127395072 on OpenAlexaboutno aff
Benn Proctor

Bibliographic record

VenueSummit (Simon Fraser University) · 2014
Typearticle
Languageen
FieldEngineering
TopicTransportation and Mobility Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessPolitical science
DOInot available

Abstract

fetched live from OpenAlex

This study assesses provincial taxi regulations on entry, fare, and trade in a Greater Vancouver regional context. Substandard taxi regulations explain why Vancouverites pay more for taxi service and wait longer to be picked up than in most other regions. The regulations impose additional costs on society, while doing little if anything to raise drivers’ incomes. The sole beneficiaries are the taxi license owners who earn super-normal profits because competition is tightly restricted. This study examines case studies to identify a regulatory regime that maximizes society’s welfare; this is a “pro-consumer” regime with free entry, deregulated fares, and no barriers to taxis picking up riders outside their home municipality. However, policy reforms need to be crafted to overcome acute industry opposition to liberalizing the taxi market with the associated loss of license values. Sequential reforms are proposed to open the market by dividing stakeholders and broadening public, consumer, and environmental support for change.

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)0.004
metaresearch head score (Gemma)0.013
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.068
Threshold uncertainty score0.496

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0060.002
Scholarly communication0.0070.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.011
GPT teacher head0.203
Teacher spread0.193 · 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
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueSummit (Simon Fraser University)Same topicTransportation and Mobility InnovationsFrench-language works237,207