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Record W4224938434 · doi:10.1016/j.crbeha.2022.100072

Culture and narcissism: The roles of fundamental social motives

2022· article· en· W4224938434 on OpenAlexaff
Zhuo Li, Alex J. Benson

Bibliographic record

VenueCurrent Research in Behavioral Sciences · 2022
Typearticle
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsWestern University
Fundersnot available
KeywordsNarcissismSocial psychologyPsychologySociology

Abstract

fetched live from OpenAlex

Cultures that value individuality over collective cohesion tend to report higher levels of narcissism. One plausible explanation is that individuals with vertical individualistic orientations might find it easier to justify motivations to procure individual status and success, which may reinforce narcissistic tendencies. We tested this idea with samples of university students (N1 = 545) and working adults (N2 = 534). Specifically, we examined the degree to which cultural orientations related to grandiose narcissism through the fundamental social motives of status and affiliation. The indirect effects of vertical individualism on narcissism exhibited consistent patterns in both samples. As expected, vertical individualism related to higher levels of both agentic and antagonistic narcissism via a stronger status motive. The indirect effects of horizontal collectivism on narcissism were only observed for narcissistic rivalry. Specifically, horizontal collectivism related to lower levels of antagonistic narcissism via a stronger affiliation motive and a weaker status motive. Through documenting the interconnectedness of individuals’ cultural orientations, social motives, and narcissism, our findings demonstrate the central role of the status motive for narcissism.

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)0.001
metaresearch head score (Gemma)0.005
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 score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.569
GPT teacher head0.592
Teacher spread0.023 · 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

Citations25
Published2022
Admission routes1
Has abstractyes

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