Determinants of Family Life Satisfaction in Reforming Urban China
Bibliographic record
Abstract
Since the late 1970s, mainland China has embarked on an unprecedented economic reform. This reform not only helped China move away more successfully from a centrally planned economy than the former Soviet Union and its East European satellites, it also improved the quality of life for China’s massive population, especially its urban population. While the impact of this reform on family life such as household composition, marriage patterns, childbearing decisions, and inter-generational relationships has been well documented, research on family life satisfaction during this political and economic transformation is nearly nonexistent. To fill this research void, we use the 1993 China Housing Survey conducted in Shanghai and Tianjin to explore the determinants of family life satisfaction among married urban Chinese. Our Confirmatory Factor Analysis conceptualizes family life satisfaction as a multi-dimensional concept, encompassing satisfaction with marriage, family economy, family relations, and family life in general. The OLS regression analysis indicates that varying individual characteristics, marital and parental roles, kinship, social and political ties, and community context are predicative of family life satisfaction in urban China. Gender differences in these determinants are noticeable.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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".