THE XYOLIN: A 10-OCTAVE CONTINUOUS-PITCH XYLOPHONE, AND OTHER EXISTEMOLOGICAL INSTRUMENTS
Bibliographic record
Abstract
A class of truly acoustic, yet computational musical instruments is presented.The instruments are based on physiphones (instruments where the initial sound-production is physical rather than virtual), which have been outfitted with computation and tactuation, such that the final sound delivery is also physical.In one example, a single plank of wood is turned into a continuous-pitch xylophone in which the initial sound production originates xylophonically (i.e. as vibrations in wood), as input to a computational user-interface.But rather than using a loudspeaker to reproduce the computerprocessed sound, the final sound delivery is also xylophonic (i.e. the same wood itself is set into mechanical vibration, driven by the computer output).This xylophone, which we call the "Xyolin", produces continuously variable pitch like a violin.It also covers more than 10 octaves, and includes the entire range of human hearing, over its 122 centimeter length, logarithmically (1 semitone per centimeter).Other examples include pagophones in which initial sound generation occurs in ice, and final sound output also occurs in the ice.More generally, we propose an existemological (existential epistemology, i.e. "learn-by-being") framework where any found material or object can be turned into a highly expressive musical instrument in which sound both originates and is output idiophonically in the same material or object, which may include some or all of the player's own body as part of the instrument.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 0.003 |
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".