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Record W4415757458 · doi:10.1080/28367138.2025.2566916

The Effects of Social Anxiety, Taijin Kyofusho, Resilience, and Social Support on Acculturative Stress in Asian International Students

2025· article· en· W4415757458 on OpenAlexaffabout
Andrea D. Y. Lee, Lixia Yang, Kristin S. Vickers

Bibliographic record

VenueJournal of College Student Mental Health · 2025
Typearticle
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsSocial supportAcculturationStress (linguistics)Asian americansCoping (psychology)

Abstract

fetched live from OpenAlex

The stress response associated with acculturation is called acculturative stress, which is associated with negative outcomes such as depression and anxiety. This study examined the extent to which acculturative stress is related to social anxiety, Taijin Kyofusho, resilience, and social support in Asian international students studying in Canada. In this online cross-sectional study, a sample (n = 221) of Asian international students, currently enrolled in postsecondary programs in Canada, completed self-report measures of acculturative stress, social anxiety, Taijin Kyofusho, resilience, and social support. The results indicated that although social anxiety, Taijin Kyofusho, resilience, and social support were significantly correlated with acculturative stress, only social anxiety and resilience were significant predictors of acculturative stress in a hierarchical regression analysis. This study contributes to the understanding of acculturative stress in Asian international students, and the findings have implications for interventions to reduce acculturative stress by targeting social anxiety and promoting resilience.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.050
Threshold uncertainty score0.099

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.008
GPT teacher head0.430
Teacher spread0.422 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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