The Science of Listening in Bioacoustics Research: Sensing the Animals' Sounds
Bibliographic record
Abstract
Bioacoustics is an interdisciplinary field bridging biological and acoustic sciences, which uses sound technologies to record, preserve, and analyse large datasets of animal communications. But it is also a world, made of the meanings created through inter- and intra-species communication. This article empirically explores a variety of bioacoustics research, including interviews with researchers, as part of a broader qualitative study, in order to theorize the expanding sense and sensation of a global biosphere and sonic data. By giving a sustained and detailed account of the science of bioacoustics, particularly how its modes of measurement allow for a new way of understanding what is involved in the de-centred modes of hearing that re-centre acts of listening and, by extension, the nature of the relation between researcher and researched, the article contributes to methodological discussions regarding the longstanding questions of how researchers and scientists are implicated in the knowledge and objects they collectively produce.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".