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Record W2137804519 · doi:10.1093/beheco/arq039

Group size effect in nutmeg mannikin: between-individuals behavioral differences but same plasticity

2010· article· en· W2137804519 on OpenAlexaff
Guillaume Rieucau, Julie Morand‐Ferron, Luc‐Alain Giraldeau

Bibliographic record

VenueBehavioral Ecology · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Behavior and Reproduction
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsForagingVigilance (psychology)BiologyEcologyZoology

Abstract

fetched live from OpenAlex

When group size increases, animals from a wide range of taxa reduce vigilance and increase feeding rate, the so-called group size effect. This effect requires that group members display plastic behavioral responses both in terms of vigilance and foraging to obtain the security benefit from grouping and/or to cope with feeding competition. Most studies on group size effects have reported mean group changes in behavior. However, individuals’ adjustment of behavior and thus their individual contribution to the overall group-level plasticity remain unexplored. Using wild-caught nutmeg mannikins (Lonchura punctulata), small estrildid finches known to exhibit the group size effect, we investigated individual differences in baseline levels and in plasticity of vigilance and feeding behavior. We experimentally manipulated the number of companions foraging with focal birds and noted how they individually adjusted their vigilance and foraging behavior when group size varied. We found that individuals differed consistently in their vigilance level and foraging rate but not in their ability to adjust to experimental variation in group size. Effect sizes for individual consistency in behavior were as large as those for group-level plasticity. Our results reveal high, albeit not maximal, levels of plasticity in both vigilance and feeding behavior for all individuals in this social foraging context.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.297
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.031
GPT teacher head0.279
Teacher spread0.248 · 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.

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

Citations46
Published2010
Admission routes1
Has abstractyes

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