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Record W2964971620 · doi:10.7202/1060977ar

C. S. Lewis

2019· article· en· W2964971620 on OpenAlexvenueno aff
Samantha J. Rayner, Alison Searle

Bibliographic record

VenueMémoires du livre · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicThemes in Literature Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPublishingDramaAllegoryReading (process)Period (music)CriticismLiteratureHistoryProject commissioningMedia studiesSociologyArt historyLibrary scienceClassicsArtPolitical scienceLawAestheticsComputer science

Abstract

fetched live from OpenAlex

This essay uses unpublished archival material to explore what this reveals about the commissioning, gestation, editing, and publishing of several key works of literary criticism by C. S. Lewis: The Allegory of Love: A Study in Medieval Tradition (1936), The Oxford History of English Literature in the Sixteenth Century Excluding Drama (1954), Studies in Words (1960), and The Discarded Image (1964). Our analysis looks at a range of connecting areas, including the complex labour structures and systems of patronage which operated during the period under consideration, as well as the peer review processes, assessments of potential reading markets, the practicalities of authorial revision and typesetting, and the intersections between pedagogical practice and publishing which all these demonstrate. The materials in the archives we drew upon to conduct this research were author marketing questionnaires; book cover designs; letters between Lewis, his press editors, bibliographers, and press reviewers; and cuttings from post-publication reviews. This case study makes an important contribution to our understanding of the role played by mid-twentieth century academic publishers to the production of knowledge in the English-speaking world.

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)0.001
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.045
Threshold uncertainty score0.151

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0450.021

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 head0.011
GPT teacher head0.206
Teacher spread0.195 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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Same venueMémoires du livreSame topicThemes in Literature AnalysisFrench-language works237,207