Psychological Distress in Treatment-Seeking University Students: An Intersectional Examination of Asian Identity and Gender Identity
Bibliographic record
Abstract
We sought to elucidate the presentation of psychological distress across treatment-seeking university students at the intersection of gender and ethnic identity, concentrating on East and South Asian identity. Using retrospective baseline data from 1530 university students utilizing on-campus counseling services, ANOVAs were conducted to evaluate the effects of gender and ethnic identity on total and subscale scores of The Outpatient Questionnaire-45 (OQ-45). Compared to White students, South and East Asians exhibited significantly elevated levels of psychological distress. Although no gender differences emerged across overall psychological distress, there was a significant interaction between gender and ethnicity on total OQ-45 and certain subscales of this measure. Our findings provide important insight towards the limited body of evidence analyzing the intersection of gender and ethnicity in mental health. Revealing how multiple identities contribute to the presentation of psychological distress in postsecondary students can lead to the implementation of more effective interventions.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".