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Record W2128267355 · doi:10.5539/ass.v11n6p13

Formation of Modern Musician’s Personality in Educational Environment of Higher Education Institution: Complex Approach

2015· article· en· W2128267355 on OpenAlexvenueno aff
N.I. Anufrieva, Е.А. Ануфриев, И. А. Корсакова, Irina Slutskaya, Anna I. Sherbakova

Bibliographic record

VenueAsian Social Science · 2015
Typearticle
Languageen
FieldComputer Science
TopicEducational Methods and Teacher Development
Canadian institutionsnot available
Fundersnot available
KeywordsPersonalityInstitutionCreativityTasteMeaning (existential)PsychologyValue (mathematics)Space (punctuation)AestheticsCognitionMusicalProcess (computing)Social psychologySociologyPedagogySocial scienceComputer scienceArtVisual arts

Abstract

fetched live from OpenAlex

This article proves the necessity of a complex approach to the formation of the personality of the musician in a modern higher education institution of musical-pedagogical orientation. This approach is due, above all, harmonious nature of the man himself, that combines the moral qualities, cognitive ability, aesthetic taste, communicative orientation, desire for creativity, as well as the huge potential of musical art in the education of the comprehensive person, having the ability to implement the deep essence of the human utpada, maintain and transmit it through space and time. The complex approach is holistic, value-meaning equality of all participants in the educational process of professional activity, the unity of requirements to the content, methods and organizational forms of education.

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)0.002
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.003
Scholarly communication0.0030.001
Open science0.0000.002
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 head0.128
GPT teacher head0.342
Teacher spread0.214 · 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

Citations7
Published2015
Admission routes1
Has abstractyes

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