How is Acculturation Linked to Subjective Wellbeing: Evidence from Turkish Immigrants in the United States
Bibliographic record
Abstract
Today, international migration has caused many ethnic groups to live in culturally diverse societies. Turkish immigrants in the United States is one of those ethnic groups whose population is growing. Despite the growing Turkish population, there is currently little research on how acculturation can influence the subjective wellbeing of Turkish immigrants living in the United States. This study sought to examine to what extent heritage and host acculturations were associated with the subjective wellbeing of Turkish immigrants residing in the United States. The study included 306 foreign-born Turkish Americans who are between 19 to 69 years old (mean = 39.39). They completed the Vancouver Index of Acculturation, Satisfaction with Life Scale, and Short-Form of the Positive and Negative Affect Schedule. The results showed that participants reported higher levels of heritage and host acculturation, satisfaction with life and positive affect, and lower levels of negative affect. No gender differences were reported across these variables. Acculturation was positively related to satisfaction with life and positive affect and negatively related with negative affect. Host acculturation uniquely predicted satisfaction with life, positive affect, and negative affect after controlling for demographic characteristics. These findings highlight the unique importance of host acculturation in enhancing subjective wellbeing for Turkish immigrants and advance future research in this area.
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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 | 0.004 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".