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Record W2354442631

On Choices of Transportation System in the Process of Urban Ecolization

2003· article· en· W2354442631 on OpenAlexaboutno aff
Hui Guo

Bibliographic record

VenueNanjing Linye Daxue xuebao · 2003
Typearticle
Languageen
FieldEnvironmental Science
TopicEvaluation Methods in Various Fields
Canadian institutionsnot available
Fundersnot available
KeywordsCuritibaBusinessSustainable developmentConsumption (sociology)Process (computing)Transport engineeringPublic transportEnvironmental planningControl (management)Sustainable transportNatural resourceEnvironmental economicsSustainabilityGeographyEngineeringComputer scienceEconomicsPolitical science
DOInot available

Abstract

fetched live from OpenAlex

After analyzing the disadvantages of the transportation system of USA which involves automobiles, city sprawling, highways and petrol supplies such as low efficiency, high consumption of resources, environment pollution, negative effects on urban citizens and the destruction of urban cultural and natural beauty, the paper introduces some typical ecolized cities in the world. In Curitiba,the ecol-ized transportation system is being developed. In Vancouver, the construction of highways is not to be permitted. In north European countries, low energy consumption lifestyles are recommended. Finally, the paper expounds on the transportation system Chinese cities should choose in the process of urban ecolization, that is, to develop public transportation as the main means with the supplement of taxi and track transportation, and to control the accelerating development of private cars so as to achieve the sustainable development of society, economy and natural environment in Chinese cities.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.311
Teacher spread0.291 · 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 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

Citations0
Published2003
Admission routes1
Has abstractyes

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