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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".