Trompong, Trombone, Trumpet, and Jegogan in Trom-Trom-Trum Composition
Bibliographic record
Abstract
Trom-Trom-Trum diciptakan oleh seniman Bali I Nyoman Windha pada tahun 2003. Judul ini merupakan ungkapan dari penggunaan kombinasi alat musik trompong, trombone, dan trompet yang digunakan dalam komposisi musik ini. Dua di antaranya adalah instrumen Barat, yaitu trombone dan trompet, dan instrumen lainnya adalah gamelan Bali, yaitu trompong dan satu pasang jegogan yang fungsinya dalam komposisi ini sebagai aksen. Metode penelitian yang digunakan adalah metode kualitatif, dengan teknik pengumpulan data melalui observasi, wawancara, studi dokumen, dan diskografi. Hasil penelitian menunjukkan, dalam Trom-Trom-Trum, dari aspek musikalnya, terdapat kaidah-kaidah seperti ketentuan jumlah birama, tanda sukat, progress chord, dan pola ritme yang harus dibawakan sesuai dengan yang ditentukan. Komposisi ini menggunakan nada dasar C, dengan tempo allegro (100MM) dan memakai sukat 9/8. Komposisi ini berbentuk tiga bagian, yaitu AABCAAB, yang diawali dengan introduksi.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".