Asymmetric Response to Heterospecific Songs in Two Sympatric Wrens (troglodytidae) in Argentina: House Wren (troglodytes Aedon) and Mountain Wren (t. Solstitialis).
Bibliographic record
Abstract
Behavioral interactions among closely-related species are often asymmetric, with one spe- cies socially dominant over the other. Here we test for response to congeneric songs between two sym- patric species of Troglodytes wrens, House Wren, T. aedon, and Mountain Wren, T. solstitialis, which coexist in humid montane Andean forest in northwestern Argentina. We used reciprocal song playback experiments presented to territorial males of each species during the breeding season to assess their response to the opposite species. Troglodytes aedon sang more and approached the playback speaker closer in response to our broadcast of T. solstitialis songs than in response to control songs. Troglodytes aedon also sang more in response to T. solstitialis playback than in response to conspecific playback, while the minimum distance of approach did not differ significantly. In contrast, T. solstitialis sang less and were further from the speaker during both T. aedon and control periods relative to the minute preced- ing our experiments. These responses differed from responses to conspecific playback, where T. solsti- tialis sang more and approached the speaker closer in relation to controls. Our experiments suggest that T. aedon is aggressive to and dominant over T. solstitialis, occupying larger open areas along a gradient
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 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".