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Record W4230301455 · doi:10.1353/lac.2014.0021

Boots Book-lovers’ Library and the Novel: The Impact of a Circulating Library Market on Twentieth-Century Fiction

2014· article· en· W4230301455 on OpenAlexaboutno aff
Nicola Wilson

Bibliographic record

VenueInformation & Culture · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicPublishing and Scholarly Communication
Canadian institutionsnot available
Fundersnot available
KeywordsCensorshipQuarter (Canadian coin)Reading (process)ClubLibrary scienceHistoryArtArt historyMedia studiesLiteratureSociologyLawPolitical scienceArchaeologyComputer science

Abstract

fetched live from OpenAlex

In a report for the Society of Bookmen in 1928, British publishers estimated that between a quarter and two-thirds of all the books they published went to the big four circulating libraries: Boots, W. H. Smith, Mudie’s, and the Times Book Club. This article examines the literary impact of one of the largest of these, Boots Book-lovers’ Library (1899–1966), which by 1935 had around four hundred libraries attached to its high-street pharmacies catering for the literary tastes of over one million subscribers a year. The article considers the impact of the Boots Book-lovers’ Library on authors’ practices of writing and revision and on literary marketing and censorship, focusing in particular on James Hanley’s The Furys (1935) and using unpublished correspondence in the Chatto & Windus archive at the University of Reading to demonstrate how the publisher’s sense of the tastes and expectations of the Boots library reader influenced the revisioning process.

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)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.981
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0160.023
Scholarly communication0.0190.009
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.012
GPT teacher head0.205
Teacher spread0.193 · 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.

Study designObservational
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

Citations1
Published2014
Admission routes1
Has abstractyes

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