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Record W2966443343 · doi:10.2108/zs180139

Seasonal and Diurnal Variation of Singing Activity: Their Possible Relationship with Intra- and Inter-Sexual Function in the Savannah Sparrow, Passerculus sandwichensis

2019· article· en· W2966443343 on OpenAlexaff
Ha‐Cheol Sung, Paul Handford

Bibliographic record

VenueZOOLOGICAL SCIENCE · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAnimal Vocal Communication and Behavior
Canadian institutionsWestern University
Fundersnot available
KeywordsSparrowSingingEveningMorningBiologySeasonal breederZoologyEcology

Abstract

fetched live from OpenAlex

), to explore the possible functions of the song. We observed a total of 47 territorial males (11 over three years, 28 over two years) on a daily basis. For all paired and unpaired males, and across all stages of the breeding season, we recorded total number of songs produced (singing persistence), the number of instances of aggression per 10-minute period in each focal male, and the number of songs per 3-minute period (singing intensity). Male savannah sparrows showed different singing activity in different behavioural contexts: 1) unpaired males sang more persistently, but less intensely than paired males; 2) paired males markedly reduced their singing persistence, but showed higher singing intensity, especially in the evening; 3) singing intensity of paired males peaked during the egg-laying period. The different patterns of singing activity in relation to time of day, nuptial status, and female breeding stage suggest that though the birds each possess only a single song type, the differential activities may play important roles in intra- and inter-sexual communication systems: it is argued that 1) intense singing by paired males in the evening plays a role in territory defense, while persistent singing by unpaired males in the morning plays a role in mate attraction; 2) especially high evening singing activity during the egg-laying period may relate to changed female behavior at the nest associated with the onset of incubation.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.457
Threshold uncertainty score0.131

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.029
GPT teacher head0.265
Teacher spread0.237 · 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.

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

Citations1
Published2019
Admission routes1
Has abstractyes

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Same venueZOOLOGICAL SCIENCESame topicAnimal Vocal Communication and BehaviorFrench-language works237,207