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Record W2978381295 · doi:10.3968/11241

Pastiche in T. H. White’s The Once and Future King : The Liberty of Reprise

2019· article· en· W2978381295 on OpenAlexvenueno aff
Radhia Flah Gaiech

Bibliographic record

VenueStudies in literature and language · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsnot available
Fundersnot available
KeywordsRepriseWhite (mutation)NarrativeSensibilityLiteratureMode (computer interface)AestheticsLegendPhilosophyHistorySociologyArtComputer science

Abstract

fetched live from OpenAlex

The present paper stands as one way of approaching postmodernist fiction in its exploration of the spirit of liberty informing the literary productions that flourished since the 1960s. It focuses on T. H. White’s Arthurian novel, The Once and Future King (1958) as representative of such a sensibility. Pastiche – the novel’s dominant narrative mode – constitutes the main axis for the investigation of the scope of liberty it has bestowed on the writer. The paper is structured around three major sections. In the first, it provides an understanding of the notion of “reprise” and its significance for the practice of pastiche in the novel. Then, it foregrounds the Arthurian legend’s main features being responsible for the development of a climate of freedom; facts which have contributed to the writer’s particular use of pastiche as a mode of expression in his novel. Finally, the paper aims to emphasize White’s achievements through his reprise of the works of his predecessors.

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 score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0080.014
Scholarly communication0.0050.004
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.245
Teacher spread0.232 · 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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