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Record W2354939290

Analysis of the Taxi Industry Regulation and Relaxation Regulation

2014· article· en· W2354939290 on OpenAlexaff
Jiang Jing-ya

Bibliographic record

VenueTechnology and Economy in Areas of Communications · 2014
Typearticle
Languageen
FieldEngineering
TopicTransportation and Mobility Innovations
Canadian institutionsTransport Canada
Fundersnot available
KeywordsStatus quoCournot competitionSocial WelfareCompetition (biology)Stackelberg competitionIndustrial organizationWelfareGame theoryBusinessEconomicsPerspective (graphical)DeregulationPublic economicsMicroeconomicsMarket economyComputer sciencePolitical science
DOInot available

Abstract

fetched live from OpenAlex

This paper analyzes the status quo regulation of the taxi industry.According to economic theory,use the Game Theory and Social Welfare Theory to analyze the social welfare under the regulated and unregulated conditions in the taxi industry.By Cournot competition model,indicating that the system under unregulated conditions improve and enhance social welfare compared to the regulated conditions.By Stackelberg competition model,indicating that the system under unregulated conditions improve and enhance social welfare compared to the regulated conditions.Analyzes the taxi industry under the regulated and unregulated through the perspective of social welfare,and then analyzes the taxi industry regulation reasonable to develop and provide a theoretical basis for the future of the taxi industry to develop healthily.

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 score0.385
Threshold uncertainty score0.177

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.010
GPT teacher head0.222
Teacher spread0.211 · 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
Published2014
Admission routes1
Has abstractyes

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