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Record W3038281502 · doi:10.1177/0022022120939655

Sex Differences in Self-Construal and in Depressive Symptoms: Predictors of Cross-National Variation

2020· article· en· W3038281502 on OpenAlexaff
Peter B. Smith, Matthew J. Easterbrook, Heyla al-Selim, Vivian Miu‐Chi Lun, Yasin Koç, Pelin Gül, Dona Papastylianou, Lusine Grigoryan, Cláudio Torres, Maria Efremova, Bushra Hassan, Abd Halim Ahmad, Ahmed Jalil Al-Bayati, Joel Anderson, Susan E. Cross, Gisela Isabel Delfino, Vladimer Lado Gamsakhurdia, Alin Gavreliuc, Dana Gavreliuc, Ceren Günsoy, Աննա Հակոբջանյան, Siugmin Lay, Olga G. Lopukhova, Ping Hu, Dıane Sunar, Maria Luisa Mendes Texeira, Doriana Tripodi, Paola Eunice Díaz Rivera, Yvette van Osch, Masaki Yuki, Ammar Abbas, Natsuki Ogusu, Catherine T. Kwantes, Rolando Díaz‐Loving, Lorena R. Pérez-Floriano, Trawin Chaleeraktrakoon, Phatthanakit Chobthamkit

Bibliographic record

VenueJournal of Cross-Cultural Psychology · 2020
Typearticle
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsPsychologyReligiosityOptimal distinctiveness theoryMultilevel modelSelf construalDepressive symptomsPersonalityClinical psychologySocial psychologyDemographyDevelopmental psychologyInterdependenceCognitionPsychiatry

Abstract

fetched live from OpenAlex

Sex differences in aspects of independent versus interdependent self-construal and depressive symptoms were surveyed among 5,320 students from 24 nations. Men were found to perceive themselves as more self-contained whereas women perceived themselves as more connected to others. No significant sex differences were found on two further dimensions of self-construal, or on a measure of depressive symptoms. Multilevel modeling was used to test the ability of a series of predictors derived from a social identity perspective and from evolutionary theory to moderate sex differences. Contrary to most prior studies of personality, sex differences in self-construal were larger in samples from nations scoring lower on the Gender Gap Index, and the Human Development Index. Sex differences were also greater in nations with higher pathogen prevalence, higher self-reported religiosity, and in nations with high reported avoidance of settings with strong norms. The findings are discussed in terms of the interrelatedness of self-construals and the cultural contexts in which they are elicited and the distinctiveness of student samples.

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 score0.012
Threshold uncertainty score0.604

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.076
GPT teacher head0.428
Teacher spread0.352 · 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

Citations18
Published2020
Admission routes1
Has abstractyes

Explore more

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