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The Influence of Phylogeny on the Social Behaviour of Macaques (Primates: Cercopithecidae, genus<i>Macaca</i>)

2000· article· en· W2082335578 on OpenAlexafffund
Bernard Thierry, Andrew N. Iwaniuk, Sergio M. Pellis

Bibliographic record

VenueEthology · 2000
Typearticle
Languageen
FieldPsychology
TopicPrimate Behavior and Ecology
Canadian institutionsUniversity of Lethbridge
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMacaqueBiologyPrimatePhylogeneticsGenusPhylogenetic treeEvolutionary biologyZoologySocial organizationCercopithecidaeEcologyAnthropologyGenetics

Abstract

fetched live from OpenAlex

The macaques are the most geographically widespread and behaviourally diverse primate genus. Many of the diversified features of social behaviour and organization in this genus have been attributed to socio‐ecological differences. However, some core aspects of social behaviour and organization appear to be highly conservative, suggesting a high degree of phylogenetic inertia. A recently derived classification of macaque social organization, as well as a large range of social and physical traits, were analysed for 16 species to ascertain the role of phylogeny in explaining the distribution of these traits within the genusMacaca. These traits were mapped onto two alternative phylogenies. The pattern of social organization, based on the degree of asymmetry in social relations, exhibited a high and significant level of phylogenetic inertia, as did seven of the 22 individual traits compared. A profile constructed of the most likely ancestral state for this character matrix showed that it most closely resembles the pattern present in the Barbary macaque (M. sylvanus), which, based on both molecular and morphological data, most closely resembles the ancestral macaque.

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)0.002
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 score0.002
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.028
GPT teacher head0.346
Teacher spread0.318 · 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

Citations219
Published2000
Admission routes2
Has abstractyes

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