A novel approach to scoring rhythmic variation in evolving White-throated Sparrow (Zonotrichia albicolis) songs
Bibliographic record
Abstract
Studies show that the White-throated Sparrow's (Zonotrichia albicolis) song is evolving across North America. Previously, most songs ended in a series of "triplets" consisting of three notes. Sometime after the 1960s, a new variant arose in western Canada that ended in a series of "doublets" consisting of two notes. A recent study found that the doublet variant has since spread rapidly eastward across the continent, replacing the triplet variant. We set out to document this shift in southwest Missouri, which is part of the sparrow's wintering range. We found that triplets were significantly more common than doublets, indicating that the new variant is not yet dominant here. Additionally, there was substantial disagreement among observers when attempting to score songs as doublet or triplet. To minimize observer bias, we developed an approach to quantitatively describe rhythmic variants. We sourced song recordings from sound repositories and isolated the last series of notes. Because these notes typically have a constant frequency, we were able to remove background noise with customized bandpass filters based on the recording's peak frequency. We then determined the onset time of each note in the series from amplitude profiles. Using the intervals between these onsets, we calculated a numerical score for each song corresponding to its degree of doublet patterning. This quantitative, repeatable approach will enable new analyses of rhythm variation and evolution in White-throated Sparrow songs. Key Words: bioacoustics, ornithology, bird song, cultural evolution, Passeriformes
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".