MétaCan
Menu
Back to cohort
Record W4415105856 · doi:10.1093/evolut/qpaf212

Evolution of female ornamentation in dance flies: valuable gifts are worth dressing up for

2025· article· en· W4415105856 on OpenAlexfundno aff
Varpu Pärssinen, Luc F. Bussière, R. Axel W. Wiberg, Emma Wahlberg, Natasha R. LeBas, Martin Irestedt, Charlotta Kvarnemo

Bibliographic record

VenueEvolution · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Behavior and Reproduction
Canadian institutionsnot available
FundersAgriculture and Agri-Food CanadaScience for Life LaboratoryVetenskapsrådetUppsala Multidisciplinary Center for Advanced Computational ScienceLunds Universitet
KeywordsOrnamentsFecundityMatingDanceMating systemAdaptive valueSexual selection

Abstract

fetched live from OpenAlex

Elaborate female ornaments are rare in nature. One explanation for this is that female investment in ornamentation may take away crucial resources from other costly life history traits, such as fecundity, for which there is likely to be a higher fitness return. However, this trade-off between ornaments and fecundity may be less severe in species where the males offer the female an edible nuptial gift during mating. The nutrition gained from mating may make attracting males with elaborate ornaments more cost-effective for the female. We investigated this link in dance flies in which there is large variation in nuptial gifts, as well as female ornaments. Our phylogenetic analysis showed that nuptial gift value is positively associated with the evolution of female ornaments. We found that species that lack nuptial gifts have no ornaments, and high levels of female ornamentation have evolved most frequently in species with reliable access to an edible nuptial gift with each mating. Our results also suggest that female ornaments have most likely evolved following the evolution of nuptial gifts. We argue that the added benefits from each mating have helped the females to overcome the costs associated with the development and maintenance of ornaments.

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 score0.488
Threshold uncertainty score0.143

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 head0.280
Teacher spread0.251 · 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

Citations3
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueEvolutionSame topicAnimal Behavior and ReproductionFrench-language works237,207