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Record W2102243960 · doi:10.1002/bdm.520

Visceral influences on risk‐taking behavior

2006· article· en· W2102243960 on OpenAlexaff
Peter H. Ditto, David A. Pizarro, Eden B. Epstein, Jill A. Jacobson, Tara K. MacDonald

Bibliographic record

VenueJournal of Behavioral Decision Making · 2006
Typearticle
Languageen
FieldNeuroscience
TopicPsychology of Moral and Emotional Judgment
Canadian institutionsQueen's University
Fundersnot available
KeywordsGratificationPsychologyCondomReading (process)Social psychologyCognitive psychologyDevelopmental psychologyHuman immunodeficiency virus (HIV)

Abstract

fetched live from OpenAlex

Abstract Visceral cues indicating proximity to objects of desire can lead people to be disproportionately influenced by the anticipated rewards of immediate gratification rather than the risks of consummatory behavior. Two studies examined this hypothesis. In Study 1, participants were given the choice of playing a game in which they risked time in the lab to win chocolate chip cookies. Participants who could see and smell the cookies while they made their decision were less sensitive to risk information than were participants for whom the cookies were merely described. In Study 2, male condom users either saw a video or read a description depicting a young couple deciding whether to have sex without a condom. Participants seeing the video expressed a greater likelihood of having unprotected sex in the situation than did participants reading the description. The underappreciated role of visceral factors in social cognition theory and research is discussed. Copyright © 2006 John Wiley & Sons, Ltd.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.130
GPT teacher head0.387
Teacher spread0.257 · 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

Citations151
Published2006
Admission routes1
Has abstractyes

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