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Record W2800808221 · doi:10.7939/r3jw86w1f

Without Ceasing: A Performance Analysis of Six Solo Works for Saxophone

2015· article· en· W2800808221 on OpenAlexaboutno aff
Laura Kerslake

Bibliographic record

VenueUniversity of Alberta Library · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsSpeech recognitionComputer scienceAcousticsPhysics

Abstract

fetched live from OpenAlex

This thesis for the Doctor of Music degree consists of an audio recording, a public recital, a scholarly essay and program notes to compliment the recorded and live performance, and are available at https://doi.org/10.7939/r3-vkd1-tz03. The recording and concert consist of the following unaccompanied saxophone works: Le Frêne égaré (1978) for alto saxophone and …sur un îlot de la rivière.. (2010) for soprano saxophone by French composer, François Rossé; Oxyton (1993) for baritone saxophone by French composer Christophe Havel; Smoking Mirrors (Symbia II) (1995) for alto saxophone by American composer John M. Kennedy; Tilework for Saxophone (2003) by American composer, currently residing in France, Tom Johnson; and finally Strata (2012) for solo tenor saxophone by Canadian composer Colin Labadie. This scholarly essay explores the performance challenges and decisions that were made in preparing these works for the recording and final performance. In discussing historical saxophone literature, and how repertoire has transformed since 1970, this paper will compare and highlight the compositional techniques and notation found in the six unaccompanied saxophone works. Furthermore the discussion of the relationship between the performer, composer and score, and the challenges found within each work, will provide insight into the musical decisions that are showcased in the audio recording and live performance. Supplemental files to this thesis can be found at https://ualberta.aviaryplatform.com/r/2f7jq0tn0j

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 score0.755
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.029
GPT teacher head0.187
Teacher spread0.158 · 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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