Midlife Marital Happiness and Ethnic Culture: A Life Course Perspective
Bibliographic record
Abstract
It is well established that marital relationships remain integral to individual and family well -being and that some marriages are happier than others. It is also well documented that continuing high rates of immigration contribute 10 increasingly diverse marital patterns in Canadian society. Drawing from life course theory, the purpose of this paper is to further explore cultural, socio-demographic, and relationship factors and their association with midlife happiness. Data are drawn from in-depth interviews with a sample of 390 middle-generation married parents living in Metro Vancouver, British Columbia. Canada from four cultural groups: British, Chinese, lndo/East Indian, and Southern-European. Both quantitative and qualitative results reveal similarities in midlife marital happiness across these four cultural groups although perceived marital stressors underlying unhappy marriages vary across groups. Moreover, immigration status and religiosity are associated with greater marital happiness. Yet, relationship dynamic factors (i.e., intimacy satisfaction, doing activities together) surface as the most significant predictors of marital happiness. Implications for aging parental marital relations are also highlighted, with emphasis on those parents who are at greater risk for relationship stress, strain, or crisis.
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".