Psychological, sociocultural, and marital adaptation of Turkish immigrant couples in Canada
Bibliographic record
Abstract
The study examined the acculturation and adaptation of 200 married Turkish immigrants in Toronto, Canada, using self‐report questionnaires. As an extension of research from sojourners to immigrants, and from individuals to married couples, marital adaptation was introduced and three facets of adaptation were differentiated: psychological, sociocultural, and marital. The findings support the contention that adaptation is multifaceted. Consistent with stress and coping models, psychological adaptation of married couples was associated with the personality variable of hardiness, social support, acculturation attitudes, and discrimination. On the other hand, in line with social learning perspectives, sociocultural adaptation was mostly related to the variables instrumental in acquiring social skills in the new culture, namely, language proficiency and contact with members of the dominant group. Marital adaptation was mostly associated with marital stressors and marital support. The lack of research on gender differences in the differentiation of adaptation was addressed. This differentiation was clearer in men than in women; there were also different variables associated with the facets of men's and women's adaptation. The effects of socioeconomic status and gender have also been examined. The findings made it evident that Turkish immigrants did not acculturate uniformly. Two groups of Turkish immigrants, working class and professionals were clearly distinguished in their acculturation experiences and adaptation. Gender differences were most apparent in the low socioeconomic status group. Women in general were psychologically more vulnerable than men; the group that faced more risk factors were those women of low socioeconomic status. In terms of acculturation attitudes, Turkish immigrant couples strongly endorsed separation; however, those of high socioeconomic status preferred integration and assimilation to a greater, and separation to a lesser extent than those of low socioeconomic status.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 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) | 0.001 | 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".