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Cultural and Personality Determinants of Leniency in Self-Rating among Chinese People

2006· article· en· W2125304551 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

VenueManagement and Organization Review · 2006
Typearticle
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsMemorial University of NewfoundlandUniversity of Toronto
Fundersnot available
KeywordsCollectivismExhibitionismPsychologyPersonalityIndividualismSocial psychologyIndividualistic cultureMainland ChinaCultural valuesBig Five personality traitsChinaSociologyPolitical scienceSocial science

Abstract

fetched live from OpenAlex

This study examines how cultural values (i.e., individualism and collectivism) and personality (i.e., self-perceived superiority and exhibitionism) jointly affect self-rating among Chinese respondents from mainland China ( N = 161), Hong Kong ( N = 350), and Taiwan ( N = 398). The results demonstrated that respondents with a more individualistic cultural orientation exhibit greater leniency in self-rating than those with a more collectivistic cultural orientation. Furthermore, self-perceived superiority and exhibitionism are related to high self-ratings among individuals who expressed low individualism values, but not among individuals who expressed high individualism or collectivism values. The results suggest that self-rating research needs to take both the individual's cultural values and personality traits into account.

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 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 score0.316

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)0.0000.000

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 head0.026
GPT teacher head0.329
Teacher spread0.303 · 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