MétaCan
Menu
Back to cohort
Record W4313647191 · doi:10.1177/20592043221145000

Practice, Performance, and Anxiety: A Pilot Study on Student Perception of Parental Involvement and Formal Music Lessons

2023· article· en· W4313647191 on OpenAlexafffund
Charlene Ryan, Hélène Boucher, Gina Ryan

Bibliographic record

VenueMusic & Science · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsUniversité du Québec à MontréalToronto Metropolitan University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsAnxietyPsychologyPerceptionPianoDevelopmental psychologyMusic educationClinical psychologyPedagogyPsychiatry

Abstract

fetched live from OpenAlex

Parents play a variety of important roles in their children's musical development. However, whether they impact upon children's music performance education and experience has only begun to be considered. The current study sought to examine whether student perception of parent involvement in music and performance education is related to their experience of music performance anxiety. Sixty-two piano students aged 11 to 17 completed a questionnaire regarding their piano studies, their parents’ involvement in them, and their parents’ prior music education. They also completed measures of performance anxiety and self-esteem. Results indicated that parents’ prior music education was significantly associated with performance anxiety in their children. Participant age, self-esteem, and practice time were also significant variables. Measures of parent involvement in music studies and parent response to weak performances were not found to be significantly related to performance anxiety scores. Implications of these findings and directions for furthering this line of research are discussed.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.318
Teacher spread0.186 · 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

Citations9
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueMusic & ScienceSame topicDiverse Music Education InsightsFrench-language works237,207