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Record W2001276700 · doi:10.5539/ijps.v5n1p1

Effects of Self-Criticism and Its Relationship with Depression across Cultures

2013· article· en· W2001276700 on OpenAlexvenueno aff
Ayano Yamaguchi, Minsun Kim

Bibliographic record

VenueInternational Journal of Psychological Studies · 2013
Typearticle
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsnot available
Fundersnot available
KeywordsCriticismSelf-criticismPsychologyPsychological interventionInterdependenceConstructive criticismDepression (economics)Social psychologySelf-conceptSelf construalLas vegasClinical psychologyMedicinePsychiatrySociologySocial science

Abstract

fetched live from OpenAlex

The purpose of this study is to test the cross-cultural predictions of the associations between self-criticism anddepression. The participants consisted of 642 undergraduates - 200 of them studying in Japan, and 442 of themstudying in the United States (Las Vegas: 242; Hawaii: 200). The results indicated that independentself-construal in the U.S. and Japan is negatively associated with comparative self-criticism, which bolsteredcollege students’ taking criticism personally and, in turn, contributed to a high level of depression amongparticipants. However, interdependent self-construal in Japan is positively associated with internalizedself-criticism, which bolstered college students’ taking criticism personally and, in turn, contributed to a highlevel of depression among participants. Discussion of these results and their implications is provided, followedby suggestions for future research on culture, self-criticism, the tendency to take criticism personally which leadsto high level of depression, and the interventions and implications of such research.

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 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 score0.068
Threshold uncertainty score0.229

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 head0.107
GPT teacher head0.474
Teacher spread0.367 · 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 teacher head, 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

Citations22
Published2013
Admission routes1
Has abstractyes

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