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Record W2558825918 · doi:10.14430/arctic4582

Observations of Heterospecific Courtship Behaviour in an Isolated Population of Ross’s Gulls (<i>Rhodostethia rosea</i>)

2016· article· en· W2558825918 on OpenAlexafffundvenueabout
Mark Maftei, Shanti E. Davis, Mark L. Mallory

Bibliographic record

VenueARCTIC · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Behavior and Reproduction
Canadian institutionsAcadia University
FundersNatural Resources CanadaEnvironment and Climate Change CanadaAboriginal Affairs and Northern Development CanadaCanadian Wildlife Federation
KeywordsCourtshipBiologySeasonal breederZoologyArcticEcologyCourtship displayPopulationSexual selectionThe arcticDemography

Abstract

fetched live from OpenAlex

Heterospecific sexual behaviour is notable because it should be strongly deterred by natural and sexual selection. Here we report observations of both male and female Ross’s Gulls (Rhodostethia rosea) routinely engaging in sexual displays directed towards other species during the breeding season at a small, remote colony in the Canadian High Arctic. We suggest that in small, reproductively isolated populations, directing stereotyped courtship displays towards heterospecific partners may allow individuals to advertise fitness and experience to both male and female conspecifics and also accelerate hormonal development and readiness to mate during the brief and unpredictable High Arctic breeding season.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.079

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.054
GPT teacher head0.260
Teacher spread0.206 · 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
Published2016
Admission routes4
Has abstractyes

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