Environmental Correlates of Song Structure in Forest Grosbeaks and Saltators
Bibliographic record
Abstract
Abstract We compared the song structure of 19 species of forest grosbeaks and saltators based on the songs of 271 individuals recorded from Argentina to Canada, and analyzed their ecological correlates. On each spectrogram we measured eight temporal, frequency, and structural features of the song. Both a principal components analysis and a univariate analysis showed consistent differences in song structure between open and closed habitats. These differences were also found in an independent contrasts analysis, in which phylogenetic relationships between the species of the group were taken into account. In particular, the songs of species living in open habitats had wider bandwidths and higher maximum frequencies than those of species living in more closed habitats. In addition, the songs of open-habitat species had more notes, which were of shorter duration. These findings are compatible with predictions derived from the Acoustic Adaptation Hypothesis, according to which bird song structure is adapted to the habitat in which the signal is used.
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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".