Associations of Acculturation with Family and Individual Well-being in Serbian Refugee Young Adults in the United States
Bibliographic record
Abstract
Seventy-seven ethnic Serbian refugee young adults (mean age = 23) from Bosnia and Croatia (in the former Yugoslavia) presently living in the United States completed an online survey. Young adults reported their own and their parents’ level of acculturation to both Serbian and U.S. cultures. In contrast to most prior studies, acculturation gap was operationalized taking into account the direction of youth-parent discrepancy rather than as absolute value of the difference. Serbian refugee young adults perceive themselves to be more Americanized than their parents. The more acculturated young adults are to the U.S. than their parents, the lower young adults’ reports of family and individual well-being. Unlike immigrant youth in most prior studies, Serbian refugee young adults report acculturation to their native culture at the same level as their parents. As a result, as many young adults exhibit higher Serbian acculturation than their parents as show lower Serbian acculturation than their parents. Young adult/parent Serbian acculturation discrepancy is associated with diminished family well-being when young adults have lower Serbian acculturation than their parents, but with increased family well-being when young adults’ Serbian acculturation is higher than their parents’. The finding that acculturation gap concerning native culture is differentially linked to family well-being depending on the direction of the youth-parent discrepancy contrasts with prior research, and shows the importance of operationalizing youth-parent acculturation discrepancies as a directional rather than absolute value difference.
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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 | 0.001 |
| 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 | 0.001 |
| 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".