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Record W2916049085

Passenger Rail Planner's Guide 2008

2008· article· en· W2916049085 on OpenAlexaboutno aff
Douglas John Bowen, Joe McHugh, Edward R Hamberger, Greg Gormick

Bibliographic record

VenueRailway age · 2008
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicTransport and Economic Policies
Canadian institutionsnot available
Fundersnot available
KeywordsMemphisMiamiAtlantaMetropolitan areaPhoenixSalt lakeBaton rougePublic transportDowntownTransport engineeringEngineeringArchaeologyHistoryPolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

Rail Planner's Guide for 2008 begins with an article titled Passenger rail: A national priority in which the author describes a rail renaissance for the U.S. which is promoting rail as a viable alternative to the dependence on automobile. article mentions two studies by the American Public Transportation Association (APTA) which look at commuter and intercity passenger rail as well as potential high speed rail operations in the U.S. Analyses are presented for Amtrak through an essay titled Amtrak's fleet: the next great step, as well as another essay titled Shaping the freight/passenger rail interface. Also included is a chart identifying FY 2009 funding for New Starts projects and Small Starts projects. final section, titled The North American passenger rail market, first presents updates on Amtrak and VIA Rail Canada. This is then followed by an overview of passenger rail systems in Boston, Connecticut, the New York Metropolitan Area, New Jersey, Philadelphia, Pittsburgh, the Baltimore-Washington Metropolitan Area, Norfolk, Raleigh, Charlotte, Atlanta, Orlando, Tampa, Miami, Buffalo, Cleveland, Chicago, Minneapolis/St. Paul, St. Louis, Nashville, Memphis, Little Rock, New Orleans, Dallas-Fort Worth, Houston, Austin, Denver, Salt Lake City, Albuquerque, Phoenix, San Diego, Los Angeles, San Jose, San Francisco, Stockton, Sacramento, Portland, Seattle-Tacoma, Vancouver, Edmonton, Calgary, Toronto, Ottawa, and Montreal.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.268
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.003

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 head0.024
GPT teacher head0.206
Teacher spread0.182 · 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; both teacher heads agree on what is shown here.

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
Published2008
Admission routes1
Has abstractyes

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