Pelatihan Vokal Pada Siswa Amusia Di Kursus Musik Jogja Music School Dengan Menggunakan Montreal Battery of Evaluation of Amusia Sebagai Alat Identifikasi Amusia
Bibliographic record
Abstract
Pada dasarnya semua manusia memiliki kemampuan untuk menghasilkan suara dan bernyanyi. Namun, terdapat sebuah gangguan musik yang menghambat kemampuan alami setiap manusia tersebut. Salah satunya adalah amusia yang membuat seseorang sulit untuk mempersepsikan suara yang didengar. Berbagai penelitian sebelumnya terfokus pada latar belakang dalam kacamata neuroscience, sehingga menghasilkan sebuah alat identifikasi amusia yaitu Montreal Battery of Evaluation of Amusia (MBEA). Berangkat dari penelitian tersebut dan keresahan penulis ketika melatih vokal, penulis menggunakan MBEA untuk mengidentifikasi siswa kursus vokal dan memberikan pelatihan vokal untuk memperbaiki gangguan amusia. Penelitian ini dilakukan dengan metode campuran berurutan eksploratori (exploratory sequential mixed methods) yang dilakukan dengan tes MBEA di awal, pelatihan vokal, dan tes MBEA akhir. Hasil penelitian menunjukkan adanya perkembangan yang baik setelah mengikuti pelatihan vokal yang rutin. Perkembangan ini ditunjukkan dengan peningkatan hasil tes MBEA siswa.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 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".