MétaCan
Menu
Back to cohort
Record W2120750916

Is there a relationship between forebrain size and group size in birds

2004· article· en· W2120750916 on OpenAlex
Guy Beauchamp, Esteban Fernández‐Juricic

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEvolutionary ecology research · 2004
Typearticle
Languageen
FieldPsychology
TopicPrimate Behavior and Ecology
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsBiologyForebrainFlockSocial complexityGroup livingContrast (vision)Seasonal breederCooperative breedingBrain sizeForageSocial groupSocial animalEcologyZoologyNeurosciencePsychologySocial psychology
DOInot available

Abstract

fetched live from OpenAlex

The social complexity hypothesis of brain size evolution posits that demands from group living can favour an enlargement in brain size to allow individuals to process the greater amount of social information generated by group members more efficiently. We tested the hypothesis in birds using estimates of forebrain size from three different data sets. Phylogenetically corrected analyses indicated a lack of relationship between forebrain size and two indices of social complexity, namely mean or maximum flock size in the non-breeding season. Forebrain size was also unrelated to the propensity to flock. In contrast to primates, where the social complexity hypothesis was first proposed, it is conceivable that in birds social demands in the non-breeding season may be insufficient to drive brain size evolution. Future research could focus on the possibility that more specific areas of the avian brain are associated with group size and could be extended to cooperative breeding species that forage in more complex groups over much of the year.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.081
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.122
GPT teacher head0.426
Teacher spread0.303 · 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