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Record W2605818664 · doi:10.1017/s1478570615000263

MUSICAL IMPROVISATION IN THE AGE OF BEETHOVEN AND ‘OPEN’ FORMS FONDAZIONE GIORGIO CINI, ISOLA DI SAN GIORGIO MAGGIORE, VENICE, 28–29 NOVEMBER 2014

2015· article· en· W2605818664 on OpenAlexaboutno aff
Rohan H. Stewart-MacDonald

Bibliographic record

VenueEighteenth Century Music · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsMOZARTImprovisationMusicalArtConcertoHumanitiesViolinViolaCadenzaArt historyFlutePianoVisual artsHistory

Abstract

fetched live from OpenAlex

The multi-dimensional topic of improvisation in the eighteenth and nineteenth centuries has been explored in various recent publications and international conferences. For example, the proceedings of the conference L’improvvisazione nella musica occidentale del Settecento all’Ottocento, held at La Spezia in 2010, were published as Beyond Notes: Improvisation in Western Music of the Eighteenth and Nineteenth Centuries (Turnhout: Brepols, 2011), edited by Rudolf Rasch. Rasch (Universiteit Utrecht) was one of several participants at La Spezia who reappeared in Venice for the third in a series of conferences on improvisation, organized like the previous two by the Fondazione Giorgio Cini. The first two (November 2012, 2013) dealt with different eras. ‘Musical Improvisation in the Age of Beethoven’, held over two days, brought together scholars of varying provenance, from Belgium, Canada, Germany, Holland, Italy, Switzerland, the United Kingdom and the United States of America. The first day of papers was followed by an evening recital from Mozart scholar and fortepianist John Irving (Trinity Laban Conservatoire of Music and Dance) and violinist Davide Amodio. Scott Burnham (Princeton University), scheduled to speak on the second day, was absent, but a ‘draft outline’ of his paper was read by William Caplin (McGill University) and distributed as a handout. In the face of an unreliable broadband connection, Elaine Sisman (Columbia University) read her paper over Skype and participated frequently in the other sessions.

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)0.001
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 score0.618
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.045
GPT teacher head0.251
Teacher spread0.207 · 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
Published2015
Admission routes1
Has abstractyes

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