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Record W4247653192 · doi:10.5325/marktwaij.15.1.0071

Tramps and Hobos: Adventure and Anguish in Mark Twain and Jack London

2017· article· en· W4247653192 on OpenAlexaboutno aff
Jeanne Campbell Reesman

Bibliographic record

VenueThe Mark Twain Annual · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicAmerican and British Literature Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsAdventureFrontierNewspaperPrisonAnguishUncannyCharacter (mathematics)HistoryArt historyArtSociologyMedia studiesLiteraturePhilosophyArchaeology

Abstract

fetched live from OpenAlex

Abstract Hobos and tramps are everywhere in the works of Mark Twain and Jack London. Twain is a gentleman “tramp” in The Innocents Abroad (1872) and in A Tramp Abroad (1880), if not in Roughing It (1872). Certainly Twain's frontier upbringing, his teenage years wandering in the Midwest for apprentice newspaper and printing jobs, and his experiences on the river taught him hard truths, mostly about human character. London, son of the lower-middle working class of Oakland, California, always insisted that his call to writing happened before the Yukon, when as a hobo in 1892 he learned how to tell a tale interesting and tragic enough that it would earn him a handout. His book about his hoboing is The Road (1907), and he wrote related works. He believed his experiences on the Road and in prison for vagrancy revealed a way forward, to portray life in his writing as grimly as it was. London was able to apply his socialism to an imperial government in the observations he made while spending six weeks walking the streets as a member of the homeless and slum-dwellers in the heart of the great city of Empire. He made his first professional photographs for this book, The People of the Abyss (1903). He reveals a different life on a different sort of Road in a city, in many ways a worse road of despair than that of wanderers back home in the American West.

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)0.002
metaresearch head score (Gemma)0.003
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: Empirical · Consensus signal: none
Teacher disagreement score0.223
Threshold uncertainty score0.444

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.015
Scholarly communication0.0090.006
Open science0.0020.007
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0100.002

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 head0.007
GPT teacher head0.213
Teacher spread0.206 · 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
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

Citations2
Published2017
Admission routes1
Has abstractyes

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