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First Reported Case of Classical Polyandry in a North American Woodpecker, the Northern Flicker

2002· article· en· W2194863154 on OpenAlexafffund
Karen L. Wiebe

Bibliographic record

VenueThe Wilson Bulletin · 2002
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Behavior and Reproduction
Canadian institutionsUniversity of Saskatchewan
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsFledgeBiologyNest (protein structural motif)WoodpeckerBroodHatchingEcologyZoologyMating systemPopulationPaternal careSeasonal breederPolygynyDemographyMatingHabitat

Abstract

fetched live from OpenAlex

During a study of Northern Flickers (Colaptes auratus) nesting in central British Columbia, I discovered a polyandrous female attending two nests 447 m apart. The phenology at the two nests was staggered so that the female took incubation shifts and fed nestlings at both trees. Hatching success was typical but the female appeared to divide her provisioning effort between the broods. At one nest, only about 20% of visits were by the female, compared to a typical rate of 50%. Polyandrous mating benefited the female, who fledged all six nestlings in one brood and all seven in the other. The mean number of fledglings for monogamous females in this population was 5.9. Two other cases of polyandry possibly related to human disturbance are discussed. These results suggest exceptions to the idea that, in Picidae, the full contribution of both genders during incubation and brood rearing is required to fledge young.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.217
Teacher spread0.189 · 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 designCase report
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

Citations23
Published2002
Admission routes2
Has abstractyes

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