Pedagogical Co-Creation as a Condition for Training Future Music Teachers to Lead Folklore Groups
Bibliographic record
Abstract
The article examines the phenomenon of co-creation as a condition for the professional growth of future music teachers. The content of creative interaction of future teachers-musicians both during classroom work and in the process of production practice is highlighted. The author of the article draws attention to the fact that the process of co-creation has a positive effect not only on student learning, but also on the development of the teacher himself, improves his creative abilities, deepens knowledge and creative skills. Such interaction is the best possible means of establishing a working atmosphere in the artistic team, and also has a developmental impact on the practical activities of future music teachers in direct work with students. Based on the works of modern researchers of this issue, the author comes to a conclusion about the use of special forms and methods of professional training for ensemble management, the development of a number of personal qualities for creative communication. The work provides examples of interaction and useful co-creation of teachers and students. The author offers ways to overcome problems and misunderstandings on the way to productive interaction between members of the artistic team.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".