Post Migration Changes in Iranian Immigrants’ Couple Relationships in Canada
Bibliographic record
Abstract
Immigration presents a major life challenge, especially when the move is both geographical and across wide cultural divides. One of the areas of greatest challenge is in adjustments in gender and marital roles, perhaps because both of these are so close to the core of identity, self esteem, and sense of place in the world. This paper reports on research conducted with immigrants from Iran to Canada that examined how their experiences post-immigration affected their marital roles and relationship. Fifteen men and fifteen women who were born in Iran, immigrated to Canada, and were currently in heterosexual marriage or marriagelike relationships participated in in-depth interviews. Participants were well-educated, with none having less than 12 years of schooling and most having post-secondary training. Three highly imbricated areas of influence on their couple relationships emerged in the interviews: gender role adjustments, labour force difficulties, and changes in family structure. Consistent with the literature on immigrant adjustments, both men and women found each of these 3 posed challenges to their couple relationships. Men had difficulty accepting the freedom their wives had to dress, socialize and make decisions for themselves. Women also identified shortcomings to the “freedoms” they were afforded in Canada. The greatest challenge to men’s identities as “good husbands” was their loss of the breadwinner role. Women and men both faced difficulties integrating into the Canadian labour force, with these difficulties leading some to express a desire to return to Iran. The loss of extended family support and social networking were linked to loneliness and absence of wise mediators to help with couple-conflicts, but were also described as contributing to greater mutuality and closeness in couples. Couples spoke of creating a new, bicultural, identity and lifestyle to counter the stresses and tensions of acculturation.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.020 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".