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Record W2181975739

Asymmetric Response to Heterospecific Songs in Two Sympatric Wrens (troglodytidae) in Argentina: House Wren (troglodytes Aedon) and Mountain Wren (t. Solstitialis).

2023· article· en· W2181975739 on OpenAlexaff
Paul R. Martin, Robert C. Dobbs

Bibliographic record

VenueDigital Commons - University of South Florida (University of South Florida) · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAnimal Vocal Communication and Behavior
Canadian institutionsQueen's University
Fundersnot available
KeywordsTroglodytesSympatric speciationBiologyEcologyZoology
DOInot available

Abstract

fetched live from OpenAlex

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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.019
GPT teacher head0.232
Teacher spread0.213 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2023
Admission routes1
Has abstractyes

Explore more

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