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Record W2799463572 · doi:10.7939/r3804z00f

Styles and Extended Techniques in 6 Works for Violin from Paraíba since 1952

2017· article· en· W2799463572 on OpenAlexaboutno aff
Vladimir M Rufino

Bibliographic record

VenueUniversity of Alberta Library · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsViolinArtArt history

Abstract

fetched live from OpenAlex

The full thesis for this degree consists of three components: a recording of José Siqueira’s Sonata No. 02, José Alberto Kaplan’s Nordestinada, José Orlando Alves’s Sonatina for Violin and Piano and Introspecções, Ticiano Rocha’s Lágrimas de Oort for Violin Solo, and Marcílio Onofre’s Caminho Anacoluto II for Violin and Piano, scholarly notes to accompany this recording, and a final solo recital presenting these works. The recording was produced in June and July, 2017 at the University of Alberta’s Convocation Hall, while the recital was presented at the same venue on September 17, 2017 at 7:30 p.m. The scholarly notes seek to position the works by these Brazilian composers from the Brazilian state of Paraíba, spanning over 65 years, in an international level. The notes analyze the pieces individually and explore the technical challenges (including various extended techniques), folk tradition associations, and theoretical and compositional features of this music. Finally, this essay evaluates the significance of Paraíba’s composers within the landscape of Brazilian Northeastern violin music contributing to the violin literature as a whole. Supplemental material related to this thesis is available at https://ualberta.aviaryplatform.com/r/fx73t9ff05

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0060.002
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0160.002

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 head0.017
GPT teacher head0.196
Teacher spread0.179 · 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 designQualitative
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

Citations1
Published2017
Admission routes1
Has abstractyes

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