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Record W2221889054

2015 ROW Fatality & Trespass Prevention Workshop

2015· article· en· W2221889054 on OpenAlexaboutno aff
James A. Harrison

Bibliographic record

VenueResearch Results · 2015
Typearticle
Languageen
FieldEngineering
TopicTransportation Safety and Impact Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsTrespassOutreachLaw enforcementEnforcementPublic administrationAdministration (probate law)BusinessPolitical scienceEngineeringLaw
DOInot available

Abstract

fetched live from OpenAlex

Trespassing along railroad rights-of-way (ROW) is the leading cause of rail-related deaths. More than 500 preventable trespass fatalities and nearly as many injuries occur each year in the United States, and most of these incidents involve pedestrians. Based on the successful 2008 and 2012 ROW Fatality and Trespass Prevention Workshops, the U.S. Department of Transportation (US DOT) Federal Railroad Administration (FRA) sponsored a third ROW Fatality and Trespass Prevention Workshop from August 4-6, 2015 in Charlotte, North Carolina. The workshop’s program was presented by rail experts and safety professionals who shared their ideas on key issues, best practices, technical developments, human behavior, law enforcement, and public education and awareness outreach methods and techniques related to trespass prevention. The participants represented Federal, State, and local governments, freight and passenger railroads, transit agencies, labor unions, academia, nonprofit organizations, and consultants. Other nations were represented including the UK and Canada. The workshop concluded with the development of 24 high priority recommended actions across five topic areas.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.213
Threshold uncertainty score0.566

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.260
GPT teacher head0.448
Teacher spread0.188 · 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 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
Published2015
Admission routes1
Has abstractyes

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