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Record W4408317300 · doi:10.46580/cx27430

Stylistic and Technical Juxtaposition in Igor Stravinsky’s The Owl and the Pussycat

2025· article· en· W4408317300 on OpenAlexaff
Aidan McGartland

Bibliographic record

VenueContext · 2025
Typearticle
Languageen
FieldComputer Science
TopicMusic Technology and Sound Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsArtLiterature

Abstract

fetched live from OpenAlex

Igor Stravinsky’s last completed work is his art song setting of The Owl and The Pussycat, completed in 1966 at the age of 84. Stravinsky and his wife Vera (the dedicatee) had a strong emotional attachment to the work, as this poem was among the first words of English that Vera learnt whilst fleeing war-torn Europe to settle in sunny California. The work has a whimsical and child-like veneer, aptly reflecting Edward Lear’s nonsense poem. Despite its outward appearance, this short song juxtaposes stylistic allusions and compositional techniques from across Stravinsky’s musical career. In this article, I analyse the complex web of musical techniques and styles behind the austere façade, with particular attention to the hybridisation of Stravinsky’s residual tonality with his later serialism. The Owl and the Pussycat, despite its historical significance as Stravinsky’s last original work, remains largely ignored in music-theoretical literature, receiving fleeting mentions in two footnotes in Joseph Straus’ otherwise comprehensive monograph, Stravinsky’s Late Music, as well as a brief examination from the view of piano technique in Graham Griffith’s Stravinsky’s Piano.

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)0.002
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 score0.015
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.009
Scholarly communication0.0060.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.008
GPT teacher head0.237
Teacher spread0.229 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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