Consistency of two-voice vocalizations as a possible performance metric in a widespread songbird
Bibliographic record
Abstract
Birdsong is subject to performance constraints due to structural limitations of the syrinx and other anatomy involved in song production. Therefore, certain vocalizations may be difficult to produce and perform consistently (like a challenging performance or athletic feat). In this case, the ability to consistently produce a difficult birdsong could be a quality indicator or performance metric. An individual bird’s ability to consistently produce two-voice vocalizations characterized on the spectrogram by the appearance of two distinct frequencies overlapping in time, could be one such performance metric. To test this, we measured and compared the structure and consistency in frequency and time metrics between notes with and without two-voice (overlapping) note structure in songs of Oriental Magpie-Robins (Copsychus saularis), a widespread Southeast Asian species. We found that all frequency and time values measured were significantly different for two-voice and non-two-voice notes, indicating structural differences between two-voice and non-two-voice notes. In a comparison of the coefficients of variation of frequency and time metrics, only the coefficient of variation for 90% bandwidth was significantly different between two-voice and non-two-voice notes. Bandwidth was significantly more variable for two-voice notes than for non-two-voice notes, indicating that bandwidth was more inconsistently performed for two-voice notes than for non-two-voice notes. Thus, producing notes with consistent bandwidth while producing overlapping frequencies could be challenging and therefore a performance constraint. Our results suggest that this could be an interesting avenue for future research.
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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 | 0.001 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".