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Record W602385032

TRB SPECIAL REPORT: REGULATION OF WEIGHTS, LENGTHS, AND WIDTHS OF COMMERCIAL MOTOR VEHICLES

2003· article· en· W602385032 on OpenAlexaboutno aff
Joanna R. Morris

Bibliographic record

VenueTR news · 2003
Typearticle
Languageen
FieldEngineering
TopicTransport Systems and Technology
Canadian institutionsnot available
Fundersnot available
KeywordsTruckMotor carrierTransport engineeringBusinessEquity (law)Trucking industryFinanceEngineeringPolitical scienceAutomotive engineeringLaw
DOInot available

Abstract

fetched live from OpenAlex

Federal and state regulations govern the weight and dimensions of trucks, buses, and trailers on U.S. highways. The regulations have economic consequences--trucking accounts for four-fifths of expenditures on freight transportation in the United States, and trucking costs are influenced by truck size and weight. Size and weight limits also influence highway construction and maintenance costs and the convenience and safety of highway travel. In addition, the regulations affect international commerce, because Canada and Mexico have different limits, and because international containers often do not meet U.S. standards. In June 1998, in the Transportation Equity Act for the 21st Century, Congress directed the Secretary of Transportation to request the Transportation Research Board (TRB) to conduct a study of the regulation of weights, lengths, and widths of commercial motor vehicles operating on federal-aid highways under federal regulation, and to develop recommendations. This article reviews TRB Special Report 267, which contains the results of the TRB study. The study recommends organizational arrangements to promote reform of federal regulations for commercial motor vehicles, as well as changes to improve the efficiency of freight transportation and to reduce the public costs of truck traffic.

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)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.059
Threshold uncertainty score0.116

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.003
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0190.017

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 head0.008
GPT teacher head0.191
Teacher spread0.183 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations9
Published2003
Admission routes1
Has abstractyes

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Same venueTR newsSame topicTransport Systems and TechnologyFrench-language works237,207