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Record W2948700773 · doi:10.7202/1059887ar

Music as Refuge: Stillness in Brian Cherney’s Mature Piano Works

2019· article· en· W2948700773 on OpenAlexvenueno aff
Zosha Di Castri

Bibliographic record

VenueIntersections Canadian Journal of Music · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsSilencePianoStyle (visual arts)MAGIC (telescope)ArtHistoryLiteratureArt historyVisual artsAesthetics

Abstract

fetched live from OpenAlex

“ Lingering in the autumnal countryside, all that magic of the ancient forests invincibly came back to me. A gentle, persuasive voice that lulled one into perfect oblivion … and the hollow tones of the angelus, which tolled the fields to sleep. ” For Cherney, this Debussy quotation is one of the most evocative descriptions of stillness and closely tied to his own childhood memories—a perfect fusion of mood, landscape, and near silence. Having grown up studying piano, Cherney uses the instrument as a personal outlet, a compositional tool, and a means for auditioning the sounds of his imagination. Through the study of Debussy’s revolutionary music, Cherney came to his mature style in the late 1970s. Using Dans le crépuscule du souvenir … , In the Stillness of the Seventh Autumn, and Tombeau as case studies, this article uses biographical, analytical, and aesthetic perspectives to examine Cherney’s dual approach to stillness: as a space for inspiration and one for withdrawal.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.779
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0560.000

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 head0.019
GPT teacher head0.211
Teacher spread0.192 · 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 teacher head, not a consensus.

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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