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Record W2114810584 · doi:10.1177/0956797611420576

Sociality, Pathogen Avoidance, and the Neuropeptides Oxytocin and Arginine Vasopressin

2011· review· en· W2114810584 on OpenAlexaff
Martin Kavaliers, Elena Choleris

Bibliographic record

VenuePsychological Science · 2011
Typereview
Languageen
FieldPsychology
TopicNeuroendocrine regulation and behavior
Canadian institutionsUniversity of GuelphWestern University
Fundersnot available
KeywordsOxytocinVasopressinNeuropeptidePsychologySocialityNeuroscienceSocial behaviorArginineDevelopmental psychologyBiologyEndocrinology

Abstract

fetched live from OpenAlex

Both humans and nonhumans have evolved a variety of mechanisms to recognize pathogen threat and a variety of adaptive behavioral responses to minimize exposure to it. Because social interactions facilitate the spread of infection among individuals, the ability to recognize and avoid infected and potentially infected individuals is crucial. The neuropeptides oxytocin (OT) and arginine vasopressin (AVP) are involved in mediating various facets of social behavior, including social recognition and responses to salient social threats. Results of studies with rodents have revealed that OT and AVP are also associated with the olfactory-mediated recognition and avoidance of actually or potentially infected individuals. The evidence reviewed here suggests that OT and AVP likely play parallel roles in modulating the recognition and avoidance of socially relevant pathogen threat in both humans and rodents.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.984
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.005
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.169
GPT teacher head0.467
Teacher spread0.298 · 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 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

Citations56
Published2011
Admission routes1
Has abstractyes

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