The intergenerational production of health in South Korea
Bibliographic record
Abstract
Informed by Bourdieu and Passeron’s theory of reproduction, we investigated relationships between the cultural and economic capitals of South Korean parents and the capitals and self-rated health of their adult children in cross-sectional survey data from the 2006 Korea Welfare Panel Study. Parental education and childhood economic circumstances manifested independent associations with the self-rated health of the adult respondents. Much of the connection between parental capitals and respondent self-rated health was explained by respondent education. Educational attainment and household income but not receipt of monetary inheritance from their parents were significantly associated with the self-rated health of the respondents. Lastly, parental educational attainment was associated with the self-rated health of the women but not the men over and above the capitals held by the respondents themselves. Our study illuminates the importance of the intergenerational transmission of multiple forms of capital in the production of good health for South Korean adults. In particular, we propose that wealthy and well-educated South Korean parents employ their capitals to develop math and linguistics skills in their children that facilitate good performance in the standardised university entrance exams, success in the labour and/or marriage markets and, ultimately, good self-rated health for their adult children.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".