Bibliographic record
Abstract
The article actualizes the need for high-quality piano training future Music teachers. Studied the peculiarities in piano training students from Ukraine and China in the way of differences their experience to perceive and perform polyphony pieces of music of different types and styles. Pointed out that in scientific music-pedagogical literature, methodical recommendations for forming polyphonic hearing in students aren't sufficiently presented in defining the problems. The author described own method for forming polyphonic hearing in students described based on the pedagogical principles: reliance on European music and historical experience; emotional passion; creative reflection; performing self-realization in the process of piano training. Presented pedagogical conditions: outright pedagogical management of development of polyphonic thinking; stimulating students to mastering the skills for performing of musical works; praxeological orientation of studying polyphonic works in the piano learning process. The author presents four groups of methods: research method, motivational and emotional method, method of reflection with art-therapeutic techniques, adapted for performing and articulatory-reproductive methods. The peculiarity of this technique is the integration of individual and group forms of work considering the specifics of students’ basics piano training.
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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 | 0.010 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 0.004 |
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".