THE STUDY OF BIRD VOCALIZATIONS IN NEOTROPICAL HABITATS: CURRENT KNOWLEDGE AND FUTURE STEPS
Bibliographic record
Abstract
Research on avian bioacoustics in the Neotropics has surged over the last several decades due to increased interest in the large diversity of vocal behaviors and vocalization and the broader accessibility of recording equipment and software. Here, we present a synthesis of the current and past knowledge of Neotropical bird bioacoustics. This synthesis is the result of the symposium "Bioacoustics in the Neotropics", organized for the XI Neotropical Ornithological Congress in San Jose, Costa Rica, in July 2019. We covered what we consider the main topics in avian bioacoustics that have been studied in this region over the last 30 years. Our review includes repertoire descriptions, geographic variation, diversity in vocal behaviors, seasonality, duetting, genetic association, and playback experiments. Additionally, we present information for what we believe may be the main veins of investigation for the coming future in the Neotropics, considering the large diversity of species that are found in the region and the new investigations developed in other geographic areas. We expect this review to work as a summary of the current literature and a guide to stimulate future research in important areas within the field of avian bioacoustics in the Neotropics.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| 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".