A Competency Approach as a Methodological Basis in the Formation of Performing Skills in Future Music Teachers and Musicians From China
Bibliographic record
Abstract
The article is devoted to the study of the content of the competence approach.The key concepts of competency approach: competence, competence, competence, as well as competence in the musical-performing field, competence of the music teacher, professional music competence, musical-performing competence of the future teacher of music are analyzed and presented.The relevance and expediency of the use of a competent approach in the formation of performing skills of future music teachers of China is substantiated.It is revealed that the application of a competent approach in the formation of the performing arts of future music teachers of China allows: to establish and develop interrelationships between personality, education and profession; to select the content of vocational education, respectively, to the needs of the developing person, and to the actual professional requirements due to the peculiarities of modern music and pedagogical practice; direct the formation of executive competence for the perfect possession of the instrument in order to ensure the maximum artistic influence on the development of the child's personality and the implementation of many other pedagogical tasks.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".