Paradigmatic Analysis and the Performance of Xenakis’s Solo Percussion Music
Bibliographic record
Abstract
This article explores the application of paradigmatic analysis as a practical tool for performers to deepen their understanding and interpretation of Iannis Xenakis’s solo percussion works, particularly Psappha (1975) and Rebonds (1987-1989). Drawing from personal experience and analytical methods developed by Nicolas Ruwet and Simha Arom, I demonstrate how segmenting musical material based on repetition and marks such as accentuation, timbre, and durations can enhance the learning process and inform interpretative decisions. The study emphasizes the value of performer-driven analysis in navigating Xenakis’s complex rhythmic and structural designs. Through detailed examples, I illustrate how paradigmatic analysis can reveal underlying patterns, support memory retention, and inspire creative performance strategies. Ultimately, I advocate for a flexible, evolving analytical practice that aligns with the interpretive needs of musicians engaging with contemporary percussion repertoire.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".