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P<scp>erformance</scp>, G<scp>rouping and</scp>S<scp>chenkerian</scp>A<scp>lternative</scp>R<scp>eadings in</scp>S<scp>ome</scp>P<scp>assages from</scp>B<scp>eethoven</scp>’<scp>s</scp>‘L<scp>ebewohl</scp>’ S<scp>onata</scp>

2008· article· en· W2095381037 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMusic Analysis · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSet (abstract data type)Computer science

Abstract

fetched live from OpenAlex

ABSTRACT It is proposed that one musically interesting way to characterise and compare different performances or recordings of the same piece is by correlating them with different Schenkerian interpretations through the medium of grouping. This approach is demonstrated through an examination of four ‘either/or’ passages from the first movement of Beethoven's Piano Sonata in E Major, Op. 81a, passages in which at least two Schenkerian interpretations are possible. Schenker's own published and unpublished sketches, among others, are considered alongside recordings by Vladimir Ashkenazy, Emil Gilels, Richard Goode, Murray Perahia and Artur Rubinstein. The approach is not meant to be self‐sufficient, but rather to contribute a new set of tools to the emerging multidisciplinary field of performance studies.

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.

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)0.013
metaresearch head score (Gemma)0.076
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Meta-epidemiology (broad), Bibliometrics, Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad), Bibliometrics, Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.125
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.076
Meta-epidemiology (narrow)0.0170.018
Meta-epidemiology (broad)0.0230.014
Bibliometrics0.0180.022
Science and technology studies0.0140.013
Scholarly communication0.0100.013
Open science0.0170.010
Research integrity0.0110.018
Insufficient payload (model declined to judge)0.0010.008

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 head0.035
GPT teacher head0.236
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