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Record W1154517482 · doi:10.1163/1568539x-00003308

Allonursing in white-faced capuchins (Cebus capucinus) provides evidence for cooperative care of infants

2015· article· en· W1154517482 on OpenAlexafffund
Elizabeth Sargeant, Eva C. Wikberg, Shoji Kawamura, Linda M. Fedigan

Bibliographic record

VenueBehaviour · 2015
Typearticle
Languageen
FieldPsychology
TopicPrimate Behavior and Ecology
Canadian institutionsUniversity of Calgary
FundersJapan Society for the Promotion of ScienceNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsUniversity of Calgary
KeywordsDemographyWhite (mutation)PsychologyPaternal careBreastfeedingDevelopmental psychologyBiologyMedicinePediatricsPregnancy

Abstract

fetched live from OpenAlex

Allonursing is a highly cooperative behaviour that may have important fitness consequences for the infant while the benefits to the allomother are less clear. To investigate the function of this behaviour, we compared patterns of allonursing and nursing exhibited by white-faced capuchin monkeys (Cebus capucinus). We used a linear mixed model approach to analyse data collected on 21 infants from six social groups in Sector Santa Rosa, Costa Rica. Infants nursed at higher rates and for longer durations from their mothers than from allonurses. They also allonursed at higher rates from lactating and non-lactating parous females than from nulliparous females and at higher rates from maternally related female allonurses than other females. We found no observed effect of adult female rank or infant sex. We conclude that infant white-faced capuchins engage in allonursing as a means to acquire additional milk, and that participating allonurses may benefit from increased inclusive fitness.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.139
GPT teacher head0.416
Teacher spread0.276 · 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

Citations31
Published2015
Admission routes2
Has abstractyes

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