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Record W2143617322 · doi:10.5539/ass.v5n9p128

A Comparative Study of Perfectionism, Coping Style & Interpersonal Relationship between Music Major and Non-music Major College Students

2009· article· en· W2143617322 on OpenAlexvenueno aff
Jun Wang, Pingping Zhao

Bibliographic record

VenueAsian Social Science · 2009
Typearticle
Languageen
FieldPsychology
TopicPerfectionism, Procrastination, Anxiety Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyCoping (psychology)Interpersonal communicationPerfectionism (psychology)Music educationMusic and emotionSocial psychologyDevelopmental psychologyClinical psychologyPedagogyMusic

Abstract

fetched live from OpenAlex

The target of this thesis is to study differences on perfectionism, coping style and interpersonal relationship between music major college students and non-music major college students. The main study methods are to make the use of Frost multi-dimensional perfectionism scale, coping style questionnaire and college student interpersonal relationship comprehensive diagnostic scale to measure 350 college students. The results of the study show that: (1) The scores of music major students on coping style are apparently higher than those of non-music students. (2) On the parents criticism dimension of the perfectionism, the immature dimension of the coping style and the mixture dimension, the scores of music major students are apparently higher than those of non-music students, while the scores of music major students are apparently lower than those of non-music students on orderliness dimension, friends communication dimension of interpersonal relationship. The differences on other dimensions between music major students and non-music major students are not apparent. So the conclusion of the thesis is that music major students have more problems on the coping style than non-music students do.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.063
GPT teacher head0.380
Teacher spread0.317 · 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 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

Citations3
Published2009
Admission routes1
Has abstractyes

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