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Record W655571371

SETTING THE STAGE FOR SMART GROWTH

2004· article· en· W655571371 on OpenAlexaboutno aff
B Fisch

Bibliographic record

VenueMass transit · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicTransportation Planning and Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsTransport engineeringTRIPS architectureTraffic congestionTransit (satellite)Service (business)Public transportSmart growthPopulationBusinessGeographyEngineeringUrban planningCivil engineering
DOInot available

Abstract

fetched live from OpenAlex

The York Region of Canada is located in the heart of the Greater Toronto Area (GTA), one of the fastest growing areas in North America, with an influx of 40,000 new residents each year for the past five years, and nearly 20,000 new jobs created annually. This population growth has had a dramatic impact, not only on traffic congestion, but also on traffic patterns. This article examines the York Rapid Transit Plan (YRTP) that will allow for a streamlined operation with extended routes, increased hours of service and seamless region wide fares. The integrated YRTP is an ambitious, three-phased approach to develop a rapid transit system between the Region's urban centers along identified corridors interfacing with Toronto's subway system over the next 20 years. York Region projects a 30% increase in transit ridership in YRTP corridors, expecting to move 7,000 car trips a day off the highway system.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.948
Threshold uncertainty score0.396

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.017
GPT teacher head0.271
Teacher spread0.255 · 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 designNot applicable
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
Published2004
Admission routes1
Has abstractyes

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