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Record W2075880327 · doi:10.1163/156853906778691559

Extra-pair copulations in common murres I: a mate attraction strategy?

2006· article· en· W2075880327 on OpenAlexfundno aff
Maureen L. Cameron-MacMillan, Carolyn J. Walsh, Sabina I. Wilhelm, Anne E. Storey

Bibliographic record

VenueBehaviour · 2006
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Behavior and Reproduction
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBiologyUria aalgeContext (archaeology)ZoologyPairingReproductive successMate choiceDemographyEcologyMatingPredationPopulation

Abstract

fetched live from OpenAlex

Abstract We investigated the behavioural context of pair (PCs) and extra-pair copulations (EPCs) in individually-marked socially-monogamous, long-lived seabirds, common murres (Uria aalge). Since forced EPCs have been documented for this species, we first examined which sex controls successful (cloacal contact achieved) copulation. The finding that all successful copulations required female cooperation and crouching suggested that benefits of successful EPCs accrue primarily to females. In a group of murres for which paternity analyses indicated no extra-pair paternity, behavioural observations over five breeding seasons showed that individual females engaged in EPCs primarily under two circumstances: (1) before they were reunited with their mates, and (2) when they were in the process of re-pairing. There was no such relationship between EPCs and re-pairing for males. Successful EPCs occurred with familiar neighboring males of apparent high quality, indicated by their high ledge attendance and prior reproductive success rates. Thus, EPCs may be used by females to attract potential high quality mates in situations where females are attempting to re-pair as a result of divorce or mate death.

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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.039
GPT teacher head0.266
Teacher spread0.227 · 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

Citations3
Published2006
Admission routes1
Has abstractyes

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