MétaCan
Menu
Back to cohort
Record W777735181

Riding the Covered Wagon Trail

2008· article· en· W777735181 on OpenAlexaboutno aff
Steve Glischinski

Bibliographic record

VenueTrains · 2008
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicTransport and Economic Policies
Canadian institutionsnot available
Fundersnot available
KeywordsTrainTourismWest virginiaAppealArchaeologyExcursionWest coastGeographyEngineeringPolitical scienceOceanographyGeologyLaw
DOInot available

Abstract

fetched live from OpenAlex

This is a survey of tourist trains that mainly operate in the summer and use “covered wagon” cab units, whose use has dwindled over the years. They have the same appeal to rail buffs that steam engines had in earlier years. They operate across the country on tourist lines. The northeast has the most active cab units on tourist lines. Maine and New Hampshire are home to lines that provide excursion service. The Railroad Museum of New England in Thomaston, Connecticut, has some historic units in operation. Opportunities to ride behind these units are also available in New York, Pennsylvania and West Virginia. In the south, North Carolina and Georgia both are home to classic cab rides, along with the west coast of Florida and Tennessee. Excursions in the Midwest and the west are also described, along with special articles on California cab units and ones that operate in Canada.

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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.050
Threshold uncertainty score0.168

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0500.010

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 head0.046
GPT teacher head0.202
Teacher spread0.156 · 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

Citations0
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueTrainsSame topicTransport and Economic PoliciesFrench-language works237,207