Co-Rumination, Marital Satisfaction, and Depression: A Case of Married Men and Women in Pakistan
Bibliographic record
Abstract
The current study examined co-rumination among married men and women and its influence on their reports of marital quality and depressive symptoms. Data were collected online through social media from 78 married men and 78 married women resulting in a total sample of 156 individuals residing in urban centers in Pakistan. Each participant had been married for at least one year, was at least 18 years old, and lived with their marital partner at the time of the survey. Although the results from multiple regression analyses revealed an increase in co-rumination was related to a decrease in the levels of depression, the moderating effect of the sex of participants indicated that the negative relationship between co-rumination and depression was only significant for married women. Furthermore, co-rumination was positively associated with marital relationship satisfaction. The findings suggest that that co-rumination with one’s spouse has implications for improved mental health and marital satisfaction among married men and women in Pakistani families.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".