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Record W2763650018 · doi:10.1177/0146167217736046

Activation of the Behavioral Immune System: Putting the Brakes on Affiliation

2017· article· en· W2763650018 on OpenAlexaff
Natsumi Sawada, Émilie Auger, John E. Lydon

Bibliographic record

VenuePersonality and Social Psychology Bulletin · 2017
Typearticle
Languageen
FieldNeuroscience
TopicPsychology of Moral and Emotional Judgment
Canadian institutionsMcGill University
Fundersnot available
KeywordsPsychologyDisgustPriming (agriculture)PersonalityBehavioral activationSocial psychologyBehavioral inhibitionDevelopmental psychologyVulnerability (computing)CognitionNeuroscienceAnxietyPsychiatryComputer security

Abstract

fetched live from OpenAlex

Evolutionary psychologists propose that humans evolved a first line of defense against pathogens: the behavioral immune system (BIS). The BIS is thought to be functionally flexible such that the likelihood and magnitude of BIS activation depends on the individual's perceived vulnerability to disease (PVD). Because conspecifics are sources of infection, the BIS has implications for affiliation. By priming and measuring chronic levels of PVD, we examined PVD's relation to affiliation in zero-acquaintance situations in the laboratory, online, and during speed-dating events. Elevated BIS activation was associated with decreased attraction and affiliative behavior in situations that varied in the trade-off between social reward and potential risk of infection. These results were not due to attachment style, personality traits, or disgust sensitivity. This suggests that in social interactions, approach motivation associated with the need to belong may be weighed against avoidance motivation associated with the need to protect the self from 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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.933
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
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 head0.157
GPT teacher head0.354
Teacher spread0.197 · 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 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

Citations56
Published2017
Admission routes1
Has abstractyes

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