MétaCan
Menu
Back to cohort
Record W4393019281 · doi:10.1177/03057356241230442

Music performance anxiety can be facilitating or debilitating: Emotion accompaniment makes the difference

2024· article· en· W4393019281 on OpenAlexaff
Emily Murphy, Molly F. McGillivray, Peter D. MacIntyre

Bibliographic record

VenuePsychology of Music · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsCape Breton University
Fundersnot available
KeywordsPsychologyAnxietyCognitive psychologyDevelopmental psychologyAudiologyMedicine

Abstract

fetched live from OpenAlex

Music performance anxiety (MPA) is most often defined as a negative experience that is harmful to successful performance, but potential facilitating effects of MPA often are acknowledged. The distinction between facilitating and debilitating effects often is attributed to various cognitive frameworks based on the quantity of anxiety, where smaller amounts may be helpful and larger amounts harmful. The hypothesis underlying the present study holds that the difference between facilitating and debilitating MPA is more a matter of quality than quantity, specifically the qualities associated with the other positive and negative emotions that accompany MPA. A web survey recruited 114 musicians to test for differences in MPA and accompanying emotions by responding to descriptions of four specific musical contexts. Results show that between roughly one-quarter and one-half of the musicians in the study viewed MPA as facilitating, depending on context. Respondents endorsing the facilitating quality of MPA (compared with the debilitating group) showed significantly higher levels of positive emotion accompanied by lower levels of both MPA and negative emotion in three of four contexts. Results are interpreted as supporting the hypothesis that emotions accompanying MPA shape the quality of its effect on musical performance.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.581
Threshold uncertainty score0.995

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.151
GPT teacher head0.314
Teacher spread0.163 · 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 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

Citations13
Published2024
Admission routes1
Has abstractyes

Explore more

Same venuePsychology of MusicSame topicDiverse Music Education InsightsFrench-language works237,207