The Impact of Attachment and We-Ness on the Relationship Satisfaction and Mental Health of Iranian-Canadian Immigrant Couples
Bibliographic record
Abstract
The purpose of this study was to better understand the psychological impact of immigration stress on the relationship satisfaction and mental health of Iranian immigrants. We-ness (i.e., degree of identification with the relationship with one’s partner) and attachment (i.e., personal degree of anxiety and avoidance normally derived from significant relationships such as with one’s parent), were explored as potential sources of resilience for immigrants. A sample of 108 Iranian Canadian immigrants (each in a relationship with a significant other) completed a package of self-report questionnaires either online or through hard copies. The data were analysed via hierarchical regression analyses. The results showed that higher immigration stress was predictive of higher mental health distress and lower relationship satisfaction. Additionally, attachment security (as reflected in lower scores on the avoidance and anxiety dimensions of attachment) predicted higher we-ness. Higher mental health distress was predictive of lower relationship satisfaction. On the other hand, higher we-ness was predictive of higher relationship satisfaction. Exploratory mediation analyses showed that the relationship between higher immigration stress and lower relationship satisfaction was partially mediated by lower we-ness and higher avoidance.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".