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Record W2892883486 · doi:10.1177/0022429418799362

Music Performance Anxiety and Perceived Benefits of Musical Participation Among Older Adults in Community Bands

2018· article· en· W2892883486 on OpenAlexafffund
Audrey‐Kristel Barbeau, Roger Mantie

Bibliographic record

VenueJournal of Research in Music Education · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsThe Scarborough HospitalUniversity of TorontoUniversité du Québec à Montréal
FundersSocial Sciences and Humanities Research Council of CanadaCentre for Interdisciplinary Research in Music Media and TechnologyMcGill University
KeywordsPsychologyAnxietyNoveltyFeelingTrait anxietyDevelopmental psychologyMusicalClinical psychologySocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

The purpose of the current study was to examine music performance anxiety and self-reported reasons for participation among members of older adult community bands. We asked 35 New Horizons Band members aged 65+ questions about their musical experience in face-to-face interviews, after which we administered two questionnaires: the Performance Anxiety Inventory for Musicians and the State-Trait Anxiety Inventory. We found a statistically significant difference in performance anxiety between participants suffering from trait anxiety (also called general anxiety) and those who did not. Utilizing the Novelty, Unpredictability, Threat to the Ego, and Sense of low control recipe (NUTS) for stress as a framework, we performed interview and questionnaire analyses that revealed that participants were concerned with issues associated with novelty, unpredictability, and lack of control in contexts of public performances (e.g., new pieces, lack of preparation, or challenging repertoire selected by the conductor). Participants perceived threats to their ego (such as feeling exposed, judged) as a major contributing factor of music performance anxiety. Participants reported the perceived benefits of musical involvement outweighed their negative (i.e., stressful) aspects.

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)0.003
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.723
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.131
GPT teacher head0.356
Teacher spread0.224 · 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 designObservational
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

Citations15
Published2018
Admission routes2
Has abstractyes

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