Monody-based Compositions: José Evangelista’s Clos de vie and Alap & Gat
Bibliographic record
Abstract
José Evangelista’s Clos de vie (1983) and Alap & Gat (1998) are comparable in two ways: the compositional thinking behind the works was informed by his study on gamelan music and North Indian music, respectively, and most of the music materials stem from a long monody. In the former piece, he uses a 170-note long monody as a springboard to create a series of textures—“near unison,” “phase-shifted,” “complex,” and “complete unison.” These textures, together with a quotation from Claude Vivier’s Lonely Child, delineate each section of the piece. Another monody, which is 88 notes long, is used to generate pitch materials for different structure-bearing motives in the second work, either in its entirety or in a fragmented manner. The forms of this work were modeled after two types of North Indian compositions—“Alap” and “Gat.”
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".