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Record W573199965 · doi:10.21949/1503571

Community-Oriented BRT: Urban Design, Amenities, and Placemaking

2015· article· en· W573199965 on OpenAlex
Jennifer Flynn, Menna Yassin

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

VenueRosa P: A digital library for transportation research (United States Department of Transportation) · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsnot available
FundersU.S. Department of Transportation
KeywordsPlacemakingRealmBus rapid transitPublic spacePublic transportResource (disambiguation)Transit systemCommunity designPublic relationsSociologyUrban designUrban planningGeographyTransport engineeringPolitical scienceComputer scienceEngineeringArchitectural engineeringTransit (satellite)Civil engineeringArchaeology

Abstract

fetched live from OpenAlex

The purpose of this report is to provide a useful resource for communities that wish to learn how others have successfully used BRT as a tool for enhancing the public realm. Information for this effort was gathered through a literature review, in-depth profiles of three BRT systems, and a detailed questionnaire that was administered to transit agencies in the United States, Canada, and Australia. While the literature review provides historical background on the relationship between transit projects and the public realm, the questionnaire focuses specifically on the interaction between BRT and public space. The system profiles provide a detailed account of the Los Angeles Orange Line, Cleveland’s HealthLine, and the EmX in Eugene, Oregon, along with recommendations and lessons learned. It should be noted that this report does not attempt to offer detailed instructions of the type that would be found in design manuals or other highly technical literature. Rather, the focus is on sharing the experiences of agencies that have been successful in designing and building community value into BRT projects.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.758
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
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.004
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 head0.097
GPT teacher head0.344
Teacher spread0.247 · 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