Bibliographic record
Abstract
A new family of stringed musical instruments will be introduced. The TritareTM is the first member of this new family and has evolved from the mathematical analysis of the vibrations of networks of strings [Gaudet et al., J. Sound & Vib. 281, 219–234 (2005)]. It is a guitarlike instrument that uses six networks of three string sections (Y-shaped networks) instead of the classical single strings. The sounds that it produces can be more or less harmonic depending on the string attack conditions and the physical configurations of the string networks. A method of customizing the frequency spectrum to contain desired harmonic components will be demonstrated. A numerical model, which uses finite differences, used to simulate the 3D nonlinear vibrations of more complex string networks involving several string sections and junction points will also be described. The harmonic analysis of the frequency spectra resulting from the numerical simulations and experimental measurements will be presented, as well as network configurations which produce very unique and interesting tone colors. Some of these configurations form the basis for a new family of stringed musical instruments. The presentation will include a demonstration of the TritareTM.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 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".