Psychosocial Variables Influencing Divorce in Marriages Involving Swedish Immigrants and Native Swedes
Bibliographic record
Abstract
This study aimed to explore the perceptions and experiences of divorced Swedish immigrants previously married to Swedish natives through the lenses of their cultural beliefs. Literature in thematic areas was reviewed. For the methodology, the grounded theory was adopted to provide the theoretical underpinning for the study, and the researcher used a qualitative research approach with a semi-structured interview with open-ended questions. Purposive and snowball sampling techniques were used to identify and recruit the participants. The research was conducted in three Swedish cities: Lund, Malmö, and Karlstad. The participants consisted of ten different immigrant men and women. The ages of participants ranged from 26 to 58 years. The participants were limited to immigrants who were married to Swedish natives but are now divorced. They were married for more than 2 years and divorced for more than 5 years. The result revealed that attitude change, communication, abuse, controlling behavior, ‘studying each other,’ cultural acceptance, accommodating each other, and traumatic experiences are associated with the high divorce rates in marriages between Swedish immigrants and native Swedes, as opposed to the comparatively lower divorce rates found in marriages between Swedish-born citizens. It can be challenging when immigrants and native Swedes who are married hold on to their cultural norms and beliefs. The findings will help enlighten would-be spouses on the need to familiarize themselves with the cultural values of their would-be partners before they get into marriage and adds insight into the pattern of divorce commonly experienced among immigrants in Sweden.
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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 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".