Determinants of Consensual Divorce in Korea: Gender, Socio-economic Status, and Life Course
Bibliographic record
Abstract
The purpose of this article is to examine the general status of divorce determinants in Korea and to explore their relationship with social demographic factors such as gender, SES, and life course. A total of 2,231 participants, who visited Family Court to file consensual divorce in Korea, completed a self-administrated questionnaire which consisted of 26 questions of divorce determinants. Using the SPSS Win program, the data was analyzed and the following results were found. First, the most common determinants of divorce were incompatible personality, different ways of thinking, and economic bankruptcy. Second, most of the divorce determinants were inter-correlated to one another in specific patterns. Incompatible personality was associated with different ways of thinking, constraining one’s life, and eccentric personality. These four factors related to personality problems were also positively associated with physical and mental abuse. Economic bankruptcy had significant correlations with frequent lies, incompetence in supporting the family, and wasteful habits and debts. Third, the relationships between social demographic factors and divorce determinants were found to be that women tended to report more complex divorce determinants than men, people of lower class were more likely to report instrumental factors as their divorce determinant, the length of marriage was negatively related to interference from the in-law family, and the number of children was positively related to the inconsistencies in parenting. Overall findings indicate that the decision to divorce resulted from multiple determinants and implied that couples in Korea put more emphasis on consonance in a marital relationship than on cultural forces such as in-law family conflict or problems in marriage essentials.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".