Challenges in Acculturation among International Students from Asian Collectivist Cultures
Bibliographic record
Abstract
Many international students coming to a U.S. university, especially those coming from a collectivist culture such as Asia, experience acculturation stress due to encountering different cultural norms and values. Lack of available resources may limit their coping ability, and prolonged exposure to acculturation stress may result in a decline in mental health. Asian international students may be at greater risk of developing mental health complications due to additional stressors derived from their cultures such as family recognition through success, emphasis on emotional self-control, and stigma toward mental illness. In this context, accumulated and unresolved acculturation stress may increase psychological vulnerabilities. Despite its relevance, there is no conceptual framework examining acculturation experiences of this student population. This article aims to present a conceptual framework of the acculturation process of Asian international students. Such a framework is important because it not only provides a holistic understanding of the acculturation process for Asian international students, but also provides an avenue for a comprehensive empirical inquiry. Furthermore, research-based evidence will help inform a more effective and inclusive university policy addressing the various needs of international students in order to provide intervention when necessary.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".