From Musicology to Novel: Reassessing Robertson Davies’s Literary Representation of Peter Warlock
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.011 | 0.026 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".