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Record W2520657446 · doi:10.1177/0956797617695099

When Novel Rituals Lead to Intergroup Bias: Evidence From Economic Games and Neurophysiology

2017· article· en· W2520657446 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePsychological Science · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicExperimental Behavioral Economics Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsychologyNeurophysiologyCognitive psychologySocial psychologyNeuroscience

Abstract

fetched live from OpenAlex

Long-established rituals in preexisting cultural groups have been linked to the cultural evolution of group cooperation. We tested the prediction that novel rituals-arbitrary hand and body gestures enacted in a stereotypical and repeated fashion-can inculcate intergroup bias in newly formed groups. In four experiments, participants practiced novel rituals at home for 1 week (Experiments 1, 2, and 4) or once in the lab (Experiment 3) and were divided into minimal in-groups and out-groups. Our results offer mixed support for the hypothesis that novel rituals promote intergroup bias. Specifically, we found a modest effect for daily repeated rituals but a null effect for rituals enacted only once. These results suggest that novel rituals can inculcate bias, but only when certain features are present: Rituals must be sufficiently elaborate and repeated to lead to bias. Taken together, our results offer modest support that novel rituals can promote intergroup bias.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.781
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.004
Scholarly communication0.0010.001
Open science0.0020.001
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 head0.227
GPT teacher head0.457
Teacher spread0.230 · 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