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Record W7011822483

Music performance anxiety in choral singers

2015· dissertation· en· W7011822483 on OpenAlexaboutno aff

Bibliographic record

VenueVIUSpace (Vancouver Island University Library) · 2015
Typedissertation
Languageen
FieldMathematics
TopicProbability and Statistical Research
Canadian institutionsnot available
Fundersnot available
KeywordsAnxietyChoirMemorizationRepertoireMusical
DOInot available

Abstract

fetched live from OpenAlex

Music Performance Anxiety (MPA) can inhibit a singer from performing to the best of her ability; however, choral conductors are in a position to be able to help singers under their leadership cope with MPA. A Music Performance Anxiety Survey was administered to 85 community choral singers, ages 14-75, in a small musical community in British Columbia, Canada. It was a mixed-methods study investigating how singers experience MPA and how conductors can help singers cope with MPA. Quantitative data were collected concerning singers’ physical and psychological symptoms of MPA, and the factors that influence their experience of MPA. Qualitative data were collected regarding singers’ opinions of how conductors could best help them. Results indicated that 95% of the participants experienced some degree of anxiety-related symptoms prior to performing and that anxiety levels were higher prior to performing than during performance. It was found that psychological symptoms, such as fear, were more bothersome than physical symptoms such as being unable to relax. Memorizing the repertoire was the factor that had the greatest influence on levels of MPA. The development of trusting relationships emerged as the most effective way that conductors can help singers achieve more satisfying performances. Recommendations for physical strategies, behavioural approaches, and addressing the psychological symptoms of MPA are given.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.284
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.031
GPT teacher head0.266
Teacher spread0.235 · 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
GenreOther

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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