Ksana: Compositional control of spectral fusion as a parameter of timbre functionality
Bibliographic record
Abstract
This thesis proposes a compositional model for approaching timbre as a parameter of music able to contribute to the experience of tension and release, which I define as timbreâs functional use. Its aim is to unify concepts of timbre perception and timbre com-position such that composers might be better able to understand and control the role of timbre as a structuring force in their work. Specifically, the thesis proposes the synthesis and application of the psychoacoustic concepts of Spectral Fusion, Auditory Scene Anal-ysis, and Sensory Dissonance, as dimensions of timbre functionality. This thesis divides into two volumes. Volume I offers a written text that describes the theoretical and compositional approaches utilized in the composition, Ksana I, for large orchestra. Volume I further divides into three portions. Part I describes historical concepts of timbre and its compositional and functional use. Part II provides a theoretical basis, and proposes an additional model of controlling timbre functionally. Through an analysis of Ksana I, part III illustrates the use of this model in conjunction with previous approaches to timbre composition. The main topics of the analysis comprise timbre repre-sentation, the horizontal and vertical organization of timbre, micro-temporal control of timbre, and multidimensional timbre functionality. Volume II contains the full score for Ksana I. The composition divides into seven individual sections each representing a dif-ferent compositional approach to timbre. With a duration of twelve minutes, the work is scored for 2(picc).2 (eh).2 (bcl).2(cbsn)â4.1.3.1â2 perc.âharpâstrings (10.10.8.8.4).
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".