Development of a School Orchestra Model in Korean Public Schools and Students’ Perceptions of the Orchestra Experience
Bibliographic record
Abstract
The purpose of this paper is twofold. First, it outlines an author-developed school orchestra model. Second, it describes students’ perceptions of their orchestra experiences after model implementation in terms of program satisfaction, personal and social experiences, and learning motivation. The orchestra program was implemented in 77 elementary schools over the course of a full school year. The model includes procedures for setting up and managing a school orchestra including teaching curriculum, learning repertoire, and networking the resources. For the students’ perceptions of the orchestra experiences, 593 elementary students from 15 schools were randomly selected from the orchestra model schools, and were asked to complete a survey at the end of the one-year implementation. Students reported satisfaction with the orchestra program, positive personal and social experiences, and learning motivation. The results indicate that school orchestra programs can provide meaningful opportunities for students to gain positive experiences in self-confidence, actualization, building relationships, listening skills, motivation for participation and academic achievement.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".