The Orchestra as a Resource for Electroacoustic Music On some works by Iannis Xenakis and Paul Dolden
Bibliographic record
Abstract
Iannis Xenakis' tape work Hibiki-Hana-Ma (1970) was composed only using extended recordings of orchestral passages. In this paper some analytical remarks are proposed concerning the studio techniques Xenakis adopted and how they reflect in the resultant sonorities. I shortly discuss, too, Below the Walls of Jericho (1988-89), a tape work by Canadian composer Paul Dolden, made of hundreds of instrumental lines layered together like a huge kind of orchestra. In considering these two works, I am interested in questions like: what makes this music "electroacoustic", rather than "orchestra music that was eventually recorded"? The answer leans on a number of observations concerning (a) perceptual/cognitive phenomena ("emergent sonorities" and "timbral residues" as due to variations of sonic density), and (b) technological devices adopted in the compositional process. A relevant implication is finally discussed: the notion that a clash or encounter takes place in this music between different musical technologies understood as cultural institutions - namely the "orchestra" and the "electroacoustic studio". Besides some common elements, the two works under examination in actuality reflect contrasting views of music technology in the creative process.
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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 | 0.001 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".