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Record W3201248460 · doi:10.32370/ia_2021_09_14

Organization of Experimental Work on the Formation of Musical and Aesthetic Competence of Adolescents in Out-Of-School Art Education

2021· article· en· W3201248460 on OpenAlexvenueno aff
Bin Liao

Bibliographic record

VenueIntellectual Archive · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicUkraine: War, Education, Health
Canadian institutionsnot available
Fundersnot available
KeywordsMusicalCompetence (human resources)PsychologyAestheticsVocabularyNew Interfaces for Musical ExpressionMusic educationMusic psychologyMusical compositionPedagogyVisual artsArtLinguisticsSocial psychology

Abstract

fetched live from OpenAlex

The article emphasizes that the state of modern art education in Ukraine and China requires the introduction into the practice of music education of students of out-of-school educational institutions of new methods aimed at forming their musical and aesthetic competence. Presented step-by-step method covers piano preparation of teenage students in two planes-performing and art-theoretical and provides for the presence of three stages: organizational-orientational, intellectual-deepening and creative-enriching. The main purpose of the first organizational and orientation stage of education was to acquire in adolescents a positive motivation for musical and aesthetic activities and the expansion of the thesaurus of musical knowledge. The second (intellectually-deepening) stage was aimed at theoretical and practical development of musical knowledge in order to form in adolescents musical and aesthetic competence, filling musical and intonation vocabulary, expanding musical and aesthetic worldview, activating emotional impressions, comparing their own experiences with artistic content of piece of music, accumulation of musical thesaurus and musical performance experience. The third (creative-enriching) stage was aimed at developing the ability to genre-style embodiment of interpretive ideas, creative evaluation of musical phenomena on the basis of the system of values adopted in the art of music.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.401
Threshold uncertainty score0.500

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.253
Teacher spread0.237 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations0
Published2021
Admission routes1
Has abstractyes

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