Acoustic transmission of the chick-a-dee call of the Black-capped Chickadee (Poecile atricapillus): forest structure and note function
Bibliographic record
Abstract
The acoustic adaptation hypothesis predicts that bird vocalizations will be structured to optimize their transmission through native vegetation. In cases where communication with distant individuals is needed, optimal transmission implies maximal propagation. In other cases, vocal signals are intended for nearby conspecifics and optimal transmission may be only a few metres. The “chick-a-dee” call of the Black-capped Chickadee ( Poecile atricapillus (L., 1766)) is a complex call used in both long- and short-range communication. Here we test whether this call transmits optimally in the locally preferred forests composed of a mix of deciduous and coniferous vegetation, or in either pure deciduous or coniferous forest stands. In addition, we examine whether notes that putatively function in short-range communication transmit shorter distances than those used in long-range communication. We found differential transmission rates for the highest and lowest frequencies in the chick-a-dee call in different forest types, and an overall improvement in call transmission in mixed forests. Note-type transmission correlated with putative note function with one notable exception. In summary, our results suggest that the chick-a-dee call conforms to the acoustic adaptation hypothesis, and that the forms of its note types are in line with their function.
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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 | 0.000 | 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".