Psychological Well-Being and Marital Stability Among Working Mothers in Oyo Metropolis
Bibliographic record
Abstract
Couples must effectively manage the process of shifting into a lasting partnership in order to attain family stability. Over time, there has been a troubling rise in the number of separations, divorces, unhappy marriages, and domestic abuse cases reported by the community. This study looked at the relationship between married stability and psychological well-being among Oyo working mothers. The researcher selected six secondary schools and six higher education institutions from four local governments using a combination of simple random selection and selective sampling techniques. Out of the six primary and secondary schools, 150 participants were selected, with 25 people selected from each school. In addition, 150 individuals were picked, with 30 participants selected from each of Oyo's five current higher education institutions. The study included a sample of three hundred working mothers. The Factors Influencing Marital Stability Scale (FIMSS) with a correlation coefficient of 0.78 and the Psychological Well-Being Scale (PWBS) with a correlation coefficient of 0.86 were used to collect the data. We looked at the data using the Pearson Product Moment Correlation Coefficient. The results of the study showed a significant relationship (r = 0.763) between working moms' psychological well-being and stable marriages. The stability of the marital relationship and the length of marriage showed a substantial link (r = 0.777). Working mothers' educational attainment and marital stability showed a significant positive connection (r = 0.655). However, r = 0.192 indicated no meaningful relationship between working mothers' marital stability and their family history. These results suggest that counselling psychologists should schedule frequent marriage seminars in schools to address the main causes of marital instability and educate married people about the long-term effects of instability on 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".