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Record W2562114972 · doi:10.1017/prp.2016.8

Elicited Awe Decreases Aggression

2016· article· en· W2562114972 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

VenueJournal of Pacific Rim Psychology · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicMedia Influence and Health
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsAggressionPsychologySocial psychologyAmusementFeelingHappinessRecallMediationCognitive psychology

Abstract

fetched live from OpenAlex

Awe is a feeling of wonder and amazement in response to experiencing something so vast that it transcends one's current frames of reference. Across three experiments ( N = 557), we tested the inhibition effect of awe on aggression. We used a narrative recall task paradigm (Studies 1 and 2) and a video (Study 3) to induce the emotion of awe. After inducing awe, we first examined participants’ emotion and their sense of ‘small self’, and then the manifestation of aggressiveness in a Shooting Game (Study 1), Tangram Help/Hurt Task (Studies 2 and 3) and Aggression-IAT (Study 3), respectively. Results indicated that awe reduced aggression and increased prosociality and a sense of small self relative to neutral affect and positive emotions of happiness and amusement. Mediation analyses evidenced mixed support for a sense of small self mediating the effect of awe on aggression and prosociality.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.322
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.063
GPT teacher head0.342
Teacher spread0.279 · 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