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Record W2894423863 · doi:10.3138/utq.88.1.04

From Musicology to Novel: Reassessing Robertson Davies’s Literary Representation of Peter Warlock

2019· article· en· W2894423863 on OpenAlexvenueno aff
Michael Allis

Bibliographic record

VenueUniversity of Toronto Quarterly · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsBiographyPortraitCharacter (mathematics)Representation (politics)LiteratureGray (unit)Art historyHistoryArtClassicsPhilosophyPoliticsLawMedicine

Abstract

fetched live from OpenAlex

This article reconsiders the literary refiguring of the British composer Peter Warlock as the character Giles Revelstoke in Robertson Davies’s 1958 novel A Mixture of Frailties. Although several Davies scholars have highlighted the general nature of this portrait, a detailed consideration of how Cecil Gray’s 1934 study of Warlock was a catalyst for Davies has yet to be explored. Gray’s book allowed Davies to incorporate a plethora of details from Warlock’s biography (including his untimely death) and to draw upon Warlock’s work as a composer and critic, his reception, and his family background; however, Davies was also able to explore his own interpretative space. In comparing A Mixture of Frailties with other literary refigurings of Warlock in the early twentieth century, the detail of Davies’s portrayal is distinctive, particularly in terms of its discussion of music. Davies’s novel can therefore be identified as a significant contribution to musico-literary relations.

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)0.007
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 score0.024
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0110.026
Scholarly communication0.0110.004
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.001

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 head0.017
GPT teacher head0.219
Teacher spread0.201 · 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 venueUniversity of Toronto QuarterlySame topicMusicology and Musical AnalysisFrench-language works237,207