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Record W2145571990 · doi:10.1177/1321103x14523531

An investigation into musicians’ thoughts and perceptions during performance

2014· article· en· W2145571990 on OpenAlexaff
Terry Clark, Tânia Lisboa, Aaron Williamon

Bibliographic record

VenueResearch Studies in Music Education · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPsychologyPerceptionFeelingAnxietyLocus of controlSocial psychologyMusicalInterpretation (philosophy)Applied psychology

Abstract

fetched live from OpenAlex

Given the current state of understanding surrounding musicians’ experiences while performing, this study sought to investigate musicians’ thoughts and perceptions during performances and the perceived impact their evaluation of those thoughts and perceptions has on their subsequent musical activities. Twenty-nine student and professional classical musicians were interviewed concerning factors perceived to contribute to the quality of performances, experiences prior to and during performances, and their responses to performances. Self-perceived successful performances were often connected with feelings of sufficient preparation and positive mind-sets, and presented a high yet attainable level of challenge. Less successful performances were typically linked with inadequate preparation, negative mental outlooks, frustration, and lack of enjoyment during the performance itself. Furthermore, the results pointed to the relevance of facilitative versus debilitative perfectionism, locus of control, interpretation of anxiety symptoms, and the interaction between self-talk, self-efficacy, and performance quality to musicians’ performance experiences and satisfaction.

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)0.005
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.185
GPT teacher head0.401
Teacher spread0.216 · 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

Citations85
Published2014
Admission routes1
Has abstractyes

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