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Record W2144656231 · doi:10.1093/beheco/arn138

The social and genetic mating system in flickers linked to partially reversed sex roles

2008· article· en· W2144656231 on OpenAlexaff
Karen L. Wiebe, Bart Kempenaers

Bibliographic record

VenueBehavioral Ecology · 2008
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Behavior and Reproduction
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsBiologyMatingMating systemSex linkageEvolutionary biologyGeneticsZoologyGene

Abstract

fetched live from OpenAlex

The type of social and genetic mating system observed in birds is influenced by the need of both sexes to provide parental care. In woodpeckers, unlike most birds, females are partially emancipated as males provide most of the care including nocturnal incubation. We analyzed the mating system of northern flickers Colaptes auratus and used microsatellite markers to assess parentage of 326 nestlings from 46 monogamous broods and 41 nestlings from 7 polyandrous broods. No cases of extrapair paternity were found in monogamous broods, but there was one such case in the brood of a secondary male of a polyandrous female. Intraspecific parasitism lead to 17% of broods containing at least one parasitic egg. The identity of the parasitic female was determined in 5 cases to be a close neighbor with a mate and clutch of her own. Between 0% and 5% of females annually were polyandrous with the timing of the 2 nests slightly staggered. Polyandrous females were older than average females in the population, and their primary males were older than secondary males. Polyandrous females raised nearly twice as many (10.8) nestlings compared with monogamous females (5.5). Although most female flickers are strictly socially and genetically monogamous, some can benefit from engaging in the alternate reproductive tactics of polyandry and brood parasitism. Therefore, at least in flickers, such tactics of laying eggs in multiple nests are not the result of poor-quality females “making the best of a bad situation” but are a way to increase reproductive success.

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 score0.289
Threshold uncertainty score0.458

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 studies0.0010.000
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 head0.051
GPT teacher head0.278
Teacher spread0.226 · 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

Citations39
Published2008
Admission routes1
Has abstractyes

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