Bibliographic record
Abstract
The didgeridoo is a wind instrument composed of a single large tube often used as drone instrument for backing up the mids and lows of an ensemble. A didgeridoo is played by buzzing the lips and blowing air into the didgeridoo. To play a didgeridoo continously one can employ circular breathing but the volume of air required poses a real challenge to novice players. In this paper we replace the expense of circular breathing and lip buzzing with electronic excitation, thus creating an electro-acoustic didgeridoo or electronic didgeridoo. Thus we describe the didgeridoo excitation signal, how to replicate it, and the hardware necessary to make an electro-acoustic didgeridoo driven by speakers and controllable from a computer. To properly drive the didgeridoo we rely upon 4th-order ported bandpass speaker boxes to help guide our excitation signals into an attached acoustic didgeridoo. The results somewhat replicate human didgeridoo playing, enabling a new kind of mid to low electro-acoustic accompaniment without the need for circular breathing.
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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 | 0.005 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".