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Record W2147149783 · doi:10.1177/01461672002612011

Culture and Positive Illusions in Close Relationships: How My Relationships Are Better than Yours

2000· article· en· W2147149783 on OpenAlexaffabout
Yumi Endo, Steven J. Heine, Darrin R. Lehman

Bibliographic record

VenuePersonality and Social Psychology Bulletin · 2000
Typearticle
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPsychologySocial psychologyBelongingnessRomanceSelf-enhancementFunction (biology)Uncorrelated

Abstract

fetched live from OpenAlex

Although routinely observed among North Americans, self-enhancing biases have been elusive in studies conducted with Japanese. The authors conducted two studies of relationship-serving biases (RSBs) with Japanese, Asian Canadian, and European Canadian participants. In both studies, members of all three cultural groups viewed their own relationships (with their best friend, their closest family member, and their romantic partner) as more positive than those of their peers, and to roughly the same extent. Of importance, however, (a) RSBs were largely uncorrelated with both self-esteem and self-serving biases and (b) Japanese (but not the other two cultural groups’) RSBs were paralleled by tendencies to view their relationship partners more positively than themselves. The authors suggest that relationship enhancement serves a different function than self-enhancement, aiding the individual’s quest for connection and belongingness with others.

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)0.002
metaresearch head score (Gemma)0.008
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 score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.003
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.112
GPT teacher head0.361
Teacher spread0.249 · 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

Citations137
Published2000
Admission routes2
Has abstractyes

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