Methodological Fundamentals for Forming Art Values of Students-Musicians in Arts and Educational Activities
Bibliographic record
Abstract
The article is devoted to the problem of value formation of a future music teacher in the process of professional training. Art education is considered as a component of training that accumulates performing, musical, methodological directions. The artistic education for Music teachers determines the poly-artistic vector of professional training, which includes understanding music and other arts. The success of artistic education is ensured by the subjectivity of a future teacher-musician who accepts such activities as a universal professional value. The hierarchy of pedagogical conditions of effective arts and educational activities is substantiated. The initial positions for substantiation of methodological fundamentals of arts and educational activities of the future Music teacher are specified, namely teacher’s focus on self-development and on values of other people. The groups of methods relate to motivation for the complex of musical activity, poly-artistic development, thesaurus in the field of various arts. The core of the methodological fundamentals is personal artistic communication with art as well as interpersonal artistic communication. The need for the functioning of a specific arts and educational environment is substantiated in order to provide artistic communication, The functional connection of pedagogical conditions and methods of formation of artistic values of students-musicians in arts and educational activities as subjects of environmental art education is explained. The prospects of research of the problem caused by actualization of processes of virtual communication, risks of minimizing of interpersonal art communication are defined. Key words: students-musicians, arts and educational
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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 | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.018 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".