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Record W7030304131

New Voices: A Context For And Sampling Of Song Cycles By Vancouver Composers Since 2005

2014· dissertation· en· W7030304131 on OpenAlexaboutno aff

Bibliographic record

VenueUA Campus Repository (The University of Arizona) · 2014
Typedissertation
Languageen
FieldSocial Sciences
TopicLiterature, Musicology, and Cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)ExcellenceMusicalEvent (particle physics)Composition (language)Contemporary classical musicSelection (genetic algorithm)Performance art
DOInot available

Abstract

fetched live from OpenAlex

In June 2013 the Vancouver International Song Institute (VISI) hosted its inaugural Contemporary Performance Studies program. The ten-day event offered student and emerging artist singers and pianists the opportunity to study and perform contemporary works both of their own selection and assigned by the program directors. Among the pieces assigned were works by Vancouver composers, both established professionals and rising talents, that showcased astonishing variety, depth, and excellence in their styles and artistry. The composers at VISI represented the latest generation in a long tradition of art song composition in Canada, but outside of the country's borders, Canada's composers and works are largely unknown. Lack of presence in the international musical canon has unfortunately been a historical issue for Canada. However, as compositional trends have shifted toward neo-tonality, art song in Canada has experienced significant growth in production and performance, particularly in Vancouver. Aided by organizations such as VISI, Canadian art song has been primed to take a prominent position on the international stage.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.325
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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.235
Teacher spread0.225 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2014
Admission routes1
Has abstractyes

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