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Record W4416419043 · doi:10.1016/j.beproc.2025.105307

Influence of familiarity and sex on social learning in a group living fish

2025· article· en· W4416419043 on OpenAlexafffund
Grace Ogundeji, Elias Latchem, Sigal Balshine

Bibliographic record

VenueBehavioural Processes · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Behavior and Reproduction
Canadian institutionsMcMaster UniversityCanada Research Chairs
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCichlidSocial learningAffect (linguistics)ForagingFish <Actinopterygii>Observational learningTest (biology)Social relationSocial environment

Abstract

fetched live from OpenAlex

Social learning, learning via observation and imitation, is an ability that can help animals adapt to their environment. Current research indicates that familiarity between the demonstrator and learner increases the likelihood that animals engage in social learning. Sex differences in philopatry can result in the more philopatric sex having a higher degree of familiarity with its groupmates than the dispersing sex. The aim of this study was to test how familiarity and sex affect social learning in the matrilineal, group-living cichlid species, Neolamprologus pulcher. A foraging assay was used to test the probability and speed of social learning in N. pulcher, and whether these were influenced by familiarity with the demonstrator, the demonstrator's sex, or the observer's sex. We found that familiarity did not have a clear effect on N. pulcher learning. Although demonstrator sex had no impact on learning, female N. pulcher learned faster than their male counterparts. As one of the first experimental studies to examine the factors influencing social learning in social cichlid fish, here we build upon the existing body of literature on fish learning and explore how information spreads in groups. Such knowledge can shed light on the behaviours, as well as the dynamics, and transmission of cultural traits in cichlids and other animals, contributing to the growing understanding of decision-making and the cognition underlying cooperation in other taxa.

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 score0.068
Threshold uncertainty score0.150

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 head0.030
GPT teacher head0.261
Teacher spread0.232 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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