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Record W2169326337 · doi:10.1093/beheco/aru020

Mate choosiness in young male fruit flies

2014· article· en· W2169326337 on OpenAlexafffund
Reuven Dukas, Carling M. Baxter

Bibliographic record

VenueBehavioral Ecology · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Behavior and Reproduction
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of CanadaOntario Innovation Trust
KeywordsBiologyMate choiceSexual selectionZoologyDrosophila (subgenus)Drosophila melanogasterEcologyMatingDemographyGeneticsGene

Abstract

fetched live from OpenAlex

Mate choice by males has been documented in many taxa including fruit flies (Drosophila spp.). It is still unclear, however, whether male mate choice varies much with age and one cannot readily predict the direction of change in male choosiness with age. We compared mate choice in young (1 day old) and mature (4 days old) male fruit flies (Drosophila melanogaster). Young males spent much less time courting heterospecific females than did mature males, but both male categories spent similar time courting conspecific females. We obtained similar results indicating higher selectivity of young than mature males in descendants of wild-caught flies, when males had an opportunity to learn to avoid heterospecific females and when males had a choice between courting conspecific and heterospecific females. The common methodology in the discipline has been to let virgin flies age for at least a few days prior to their use in experiments. Our experiments, which employed protocols sensitive to male age and experience, suggest that male fruit flies may be more choosy than previously thought and hence can contribute much more to sexual selection and incipient speciation than previously appreciated.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.175
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.026
GPT teacher head0.257
Teacher spread0.231 · 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

Citations14
Published2014
Admission routes2
Has abstractyes

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