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Record W4417340357 · doi:10.4000/15cqb

Contributions of nonhuman primate research to unraveling the social brain and its impairments

2025· article· en· W4417340357 on OpenAlexaff
Maëva Gacoin, Haozhou Jiang, Manon Obliger-Debouche, Justine Cléry, Julia Sliwa

Bibliographic record

VenueRevue de primatologie · 2025
Typearticle
Languageen
FieldPsychology
TopicPrimate Behavior and Ecology
Canadian institutionsMcGill UniversityMontreal Neurological Institute and Hospital
Fundersnot available
KeywordsSocial neuroscienceSocial cognitionNonhuman primateSocial relationCognitionPerceptionMotor cognitionPrimateRelevance (law)

Abstract

fetched live from OpenAlex

The quality of human life depends in particular on the richness of social interactions. These interactions are made possible through the recognition and understanding of social signals and their conventions. This understanding is supported by social cognitive skills, which are recognized as one of the core functional domains that can be affected in neuropsychiatric, neurodevelopmental and neurodegenerative disorders. Disturbances of social cognition include impaired social perception, ineffective theory of mind, reduced empathy, or abnormal social behavior. From social perception to social cognition, all the way to social behaviors: research in non-human primate has been uniquely contributing towards identifying the neurobiological bases of social processes. In this review we highlight the relevance of these findings to our understanding of the workings of the social brain, with the goal of laying the foundation for developing better models of these impairments in patients and supplying human clinical neuroscience with valuable new hypotheses to understand how social mechanisms and access to them are disturbed in disease.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.809
Threshold uncertainty score0.406

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.099
GPT teacher head0.494
Teacher spread0.395 · 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 routes1
Has abstractyes

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