Acculturation and depressive symptoms in Muslim university students: Personal–family acculturation match
Bibliographic record
Abstract
The relationships of personal acculturation and of personal-family acculturation match to depressive symptoms were investigated in a sample of 68 Muslim university students. Two dimensions of personal and family acculturation were assessed: heritage and mainstream culture identification. Participants completed the Vancouver Index of Acculturation (Ryder, Alden, & Paulhus, 2000 ) and the depressive disorder subscale of the Psychiatric Diagnostic Screening Questionnaire (Zimmerman & Mattia, 1999 ). For personal acculturation, individuals with high personal heritage culture identification reported fewer lifetime (but not past-year) depressive symptoms. In contrast, individuals with high personal mainstream culture identification reported more past-year (but not lifetime) depressive symptoms. The hypothesis that a match between personal and family acculturation orientation would be associated with fewer depressive symptoms was supported for heritage culture identification only. For past-year depression, the two match conditions (low or high personal and family heritage culture identification) were associated with significantly fewer depressive symptoms than a low personal/high family mismatch but did not differ from a high personal/low family mismatch. For lifetime depression, a high personal/high family match was associated with significantly fewer depressive symptoms than all other conditions. Findings suggests that, for Muslims, a match of high personal and high family heritage culture identification may act as a protective factor for the experience of depressive symptoms both in the short term (past year) and in the long term (lifetime).
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".