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Record W2102899744 · doi:10.1037/a0021201

Cross-cultural differences in the refusal to accept a small gift: The differential influence of reciprocity norms on Asians and North Americans.

2010· article· en· W2102899744 on OpenAlexafffund
Hao Shen, Fang Wan, Robert S. Wyer

Bibliographic record

VenueJournal of Personality and Social Psychology · 2010
Typearticle
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsUniversity of Manitoba
FundersUniversity of Manitoba
KeywordsSocial psychologyReciprocity (cultural anthropology)CasualPsychologyAttractivenessGift givingObligationDonationFeelingNorm (philosophy)ConformityNorm of reciprocitySociologyLaw

Abstract

fetched live from OpenAlex

Asians are more likely than North Americans to refuse a small gift that is offered to them by a casual acquaintance. Five experiments confirmed this difference and explored the reasons for its occurrence. Asians, who are inclined to think of themselves in relation to others, are more likely than North Americans to invoke a reciprocity norm in exchanging gifts with casual acquaintances, and they refuse a gift in order to avoid the feeling of indebtedness they would experience if they cannot reciprocate. North Americans, however, who are inclined to think of themselves independently of others, are more likely to base their acceptance of the gift on its attractiveness without considering their obligation to reciprocate. These cultural differences are not evident when the gift is offered by a close friend with whom individuals have a communal relationship. Implications of our findings for miscommunication between members of different cultures are discussed.

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)0.004
metaresearch head score (Gemma)0.016
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.139
GPT teacher head0.433
Teacher spread0.294 · 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

Citations148
Published2010
Admission routes2
Has abstractyes

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