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Record W1492683818 · doi:10.17226/13950

Bus Use of Shoulders

2006· book· en· W1492683818 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTransportation Research Board eBooks · 2006
Typebook
Languageen
FieldSocial Sciences
TopicTransportation Planning and Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsShouldersComputer scienceMedicine

Abstract

fetched live from OpenAlex

This synthesis documents and summarizes transit agencies' experiences with policies and regulations that permit buses to use shoulders on arterial roads or freeways to bypass congestion either as interim or long-term treatments. Both the transit and highway perspectives are explored. The purpose is to identify and obtain information and experience about jurisdictions that allow bus use of shoulders and about how jurisdictions have considered, but have not implemented, these treatments and the reasons why. This topic will be of interest to transit agency and highway organization staff responsible for bus use of shoulders. They can use this report to learn from and compare their experiences with the experiences of other agencies. Findings in this report are based on a literature review, surveys of selected transit agencies and roadway jurisdictions, analysis of documentation submitted, as well as interviews and site visits. Case study descriptions were prepared for the following six regions: Minneapolis-St. Paul Twin Cities (Minnesota); Falls Church, Virginia; Miami, Florida; San Diego, California; Toronto, Canada; and Dublin, Ireland.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.433
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.123
GPT teacher head0.379
Teacher spread0.256 · 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