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Record W2730213011 · doi:10.1093/icb/icx042

Social Cognition and the Neurobiology of Rodent Mate Choice

2017· review· en· W2730213011 on OpenAlexafffund
Martin Kavaliers, Elena Choleris

Bibliographic record

VenueIntegrative and Comparative Biology · 2017
Typereview
Languageen
FieldPsychology
TopicNeuroendocrine regulation and behavior
Canadian institutionsUniversity of GuelphWestern University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSocial cognitionSocial learningMate choiceCognitionPsychologySocialitySocial cueContext (archaeology)Social environmentCopyingSocial decision makingCognitive psychologyBiologyNeuroscienceSociologyMatingEcology

Abstract

fetched live from OpenAlex

Various aspects of sociality, including mate choice, are dependent on social information. Mate choice is a social cognitive process that encompasses mechanisms for acquiring, processing, retaining and acting on social information. Social cognition includes the acquisition of social information about others (i.e., social recognition) and social information from others (i.e., social learning). Social cognition involves both assessing other individuals and their condition (e.g., health, infection status) and deciding about when and how to interact with them, thus, providing a frame-work for examining mate choice and its associated neurobiological mechanisms. In vertebrates, and in particular rodents, odors are an essential source of direct and indirect social information not only from others but also for others. Here, we briefly consider the relations between social cognition and olfactory-mediated mate choice in rodents. We briefly discuss aspects of: (1) social recognition of potential mates and the impact of infection threat on mate choice; (2) social learning and the utilization of the mate choices of others ("mate-choice copying") including in the context of infection; and (3) the neurobiological mechanisms, with particular focus on particular the roles of the nonapeptide, oxytocin and the steroid hormones, estrogens, associated with social cognition and mate choice.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.992
Threshold uncertainty score0.899

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.376
GPT teacher head0.527
Teacher spread0.151 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations37
Published2017
Admission routes2
Has abstractyes

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