Bibliographic record
Abstract
In this paper we describe three new music controllers, each designed to be played by two players. As the intimacy between two people increases so does their ability to anticipate and predict the other's actions. We hypothesize that this intimacy between two people can be used as a basis for new controllers for musical expression. Looking at ways people communicate non-verbally, we are developing three new instruments based on different communication channels. The Tooka is a hollow tube with a pressure sensor and buttons for each player. Players place opposite ends in their mouths and modulate the pressure in the tube with their tongues and lungs, controlling sound. Coordinated button presses control the music as well. The Pushka, yet to be built, is a semirigid rod with strain gauges and position sensors to track the rod's position. Each player holds opposite ends of the rod and manipulates it together. Bend, end point position, velocity and acceleration and torque are mapped to musical parameters. The Pullka, yet to be built, is simply a string attached at both ends with two bridges. Tension is measured with strain gauges. Players manipulate the string tension at each end together to modulate sound. We are looking at different musical mappings appropriate for two players.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 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".