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Record W4296188702 · doi:10.1163/1568539x-bja10184

Within-population song evolution in white-throated sparrows (Zonotrichia albicollis)

2022· article· en· W4296188702 on OpenAlexaffabout
Sara L. Chartier, Scott M. Ramsay, Ken A. Otter

Bibliographic record

VenueBehaviour · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAnimal Vocal Communication and Behavior
Canadian institutionsWilfrid Laurier UniversityUniversity of Northern British Columbia
Fundersnot available
KeywordsSingingEmberizidaePopulationCantoWhite (mutation)Modulation (music)CommunicationBiologyGeographyAcousticsDemographyEcologyPhysicsPsychologyArtSociologyGenetics

Abstract

fetched live from OpenAlex

Abstract Cultural evolution of birdsong occurs when songs change over generations and such changes can spread directionally or via drift within populations. We describe the emergence and directional spread of a novel song variant within a population of White-throated Sparrows in central British Columbia, Canada. Birds in this population have been singing a doublet-ending song since the early 2000s. In 2015, we detected a novel variant, consisting of a doublet-ending song with a distinctive amplitude modulation in the first note (Modulated-Doublet). We banded and recorded birds from 2015 to 2020 and classified songs using both audio and spectrographic analysis. The proportion of birds singing the Modulated-Doublet increased, replacing the Unmodulated-Doublet over time. Additionally, the modulation became more pronounced, both across the population and within individual birds, over successive years. The rapid spread suggests there may be several transmission biases driving the adoption of this novel song over the older established variant.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.138
Threshold uncertainty score0.275

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.271
Teacher spread0.254 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2022
Admission routes2
Has abstractyes

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