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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".