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Record W4321217743 · doi:10.1515/9781474497169

The Idler's Club

2023· book· en· W4321217743 on OpenAlexaboutno aff
Laura Fiss

Bibliographic record

VenueEdinburgh University Press eBooks · 2023
Typebook
Languageen
FieldArts and Humanities
TopicCrime and Detective Fiction Studies
Canadian institutionsnot available
Fundersnot available
KeywordsClubGeologyPaleontology

Abstract

fetched live from OpenAlex

Investigates whether a popular magazine can promote social mobility by joking about clubs Focuses on Victorian humour, a subject that is undergoing a renaissance Primary sources are mainly published literary works, both periodicals and books Connects, biographically and stylistically, figures that have developed disparate reputations Treats well-known, yet under-studied, popular authors: Jerome K. Jerome and P. G. Wodehouse especially Treats lesser-known or lesser-studied works by authors who attract more critical attention: J. M. Barrie, G. K. Chesterton, Robert Louis Stevenson and Israel Zangwill Introduces humour into the discussion of feelings about reading Poking fun at Victorian social clubs became a way of asserting and redefining social belonging. At the turn of the century, amid intense social change, the club became the subject of sustained humour in the Idler magazine and its circle, from editors Jerome K. Jerome and Robert Barr to J. M. Barrie, Arthur Conan Doyle, Barry Pain, Israel Zangwill, and even P. G. Wodehouse. Rather than doing away with the club itself, these authors embraced the paradoxes of the club and re-defined it as a space of possibility. Their humorous, fictional clubs aided the social mobility of the authors who created them, who in turn served as models for the readers who might never cross the literal thresholds of Clubland.

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)0.008
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.017
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.004
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0170.003

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 head0.062
GPT teacher head0.223
Teacher spread0.161 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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