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Record W1994443144 · doi:10.1080/01944360208976261

Planning Transportation Corridors in Post-NAFTA North America

2002· article· en· W1994443144 on OpenAlexaboutno aff
Susan L. Bradbury

Bibliographic record

VenueJournal of the American Planning Association · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
FundersBulgarian National Science Fund
KeywordsTransportation planningRegional scienceTransport engineeringBusinessEnvironmental planningEconomic geographyInternational tradeGeographyEngineering

Abstract

fetched live from OpenAlex

The North American Free Trade Agreement (NAFTA) has been celebrated as a success for dramatically expanding trade between Canada, the United States, and Mexico. But the very success of NAFTA has illuminated weaknesses in the continental transportation system. Massive delays and congestion have now become the norm, especially in border regions. If the full economic benefits of NAFTA are to be realized, an integrated North American transportation system must be created. This article examines the challenges associated with planning and implementing such a system. Conventional transportation planning in North American borderlands has been reactive, demand-oriented, piecemeal, and, not surprisingly, largely ineffective. New efforts are now underway which are more locally based, involving multinational approaches in project conceptualization, evaluation, scheduling, and financial coordination. Bradbury is an associate professor in the Department of Community and Regional Planning at Iowa State University in Ames, Iowa. Her research interests include the impact of NAFTA on border communities, telecommunications planning, and economic

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)0.001
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 score0.094
Threshold uncertainty score0.942

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.012
GPT teacher head0.239
Teacher spread0.227 · 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

Citations17
Published2002
Admission routes1
Has abstractyes

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