MétaCan
Menu
Back to cohort

<b><i>Iron Muse: Photographing the Transcontinental Railroad</i></b>. By Glenn Willumson . ( Berkeley : University of California Press , 2013 . x + 242 pp. Illustrations, map, notes, bibliography, index. $60.00 , £41.95 .)

2014· article· en· W2491081195 on OpenAlexaff
Finis Dunaway

Bibliographic record

VenueWestern Historical Quarterly · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Science and Medicine
Canadian institutionsTrent University
Fundersnot available
KeywordsIndex (typography)BibliographyArt historyArtLibrary scienceHistoryMedia studiesComputer scienceSociologyWorld Wide Web

Abstract

fetched live from OpenAlex

Journal Article Iron Muse: Photographing the Transcontinental Railroad Get access Iron Muse: Photographing the Transcontinental Railroad. By Willumson Glenn. (Berkeley: University of California Press, 2013. x + 242 pp. Illustrations, map, notes, bibliography, index. $60.00, £41.95.) Finis Dunaway Finis Dunaway Trent University Search for other works by this author on: Oxford Academic Google Scholar Western Historical Quarterly, Volume 45, Issue 4, Winter 2014, Pages 475–476, https://doi.org/10.2307/westhistquar.45.4.0475 Published: 01 November 2014

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 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 score0.086
Threshold uncertainty score0.974

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.014
GPT teacher head0.188
Teacher spread0.174 · 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
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueWestern Historical QuarterlySame topicHistory of Science and MedicineFrench-language works237,207