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Record W4206705496 · doi:10.1177/19485506211065938

The Impact of Culture and Social Distance on Humor Appreciation, Sharing, and Production

2021· article· en· W4206705496 on OpenAlex
Yi Cao, Yubo Hou, Zhiwen Dong, Li‐Jun Ji

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueSocial Psychological and Personality Science · 2021
Typearticle
Languageen
FieldPsychology
TopicHumor Studies and Applications
Canadian institutionsQueen's University
FundersSocial Sciences and Humanities Research Council of CanadaNational Natural Science Foundation of China
KeywordsJokeConstrual level theoryPsychologySocial psychologySocial distancePerspective (graphical)Independence (probability theory)Linguistics

Abstract

fetched live from OpenAlex

Building on the benign violation theory and self-construal theory, we conducted four studies to examine how culture and social distance would influence humor appreciation, sharing, and production. Study 1 found that Chinese participants appreciated and intended to share a joke involving distant others more than that involving close others. They also generated funnier titles for a joke involving distant others than close others. Studies 2a and 2b compared Chinese and Americans using various types of jokes, replicating the social distance effect among Chinese but finding little effect of social distance among Americans. In Study 3, interdependence-primed participants generated more humorous titles for a joke involving distant than close others, whereas independence-primed participants showed no effect of social distance. The research provides further support to the benign violation theory from a cultural perspective and has important implications for cross-cultural communications.

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 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 score0.838
Threshold uncertainty score1.000

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 studies0.0020.002
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 head0.077
GPT teacher head0.437
Teacher spread0.360 · 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