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Record W2463160161 · doi:10.1080/14461242.2016.1198983

The intergenerational production of health in South Korea

2016· article· en· W2463160161 on OpenAlexaff
Gerry Veenstra, Baekgeun Jeong

Bibliographic record

VenueHealth Sociology Review · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational and Educational Inequality Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsEducational attainmentRespondentReceiptSelf-rated healthWelfareHuman capitalDisadvantageCultural capitalPsychologySociologyDemographic economicsDevelopmental psychologyEconomic growthDemographyEconomicsSocial sciencePolitical science

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.808
Threshold uncertainty score0.572

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.165
GPT teacher head0.462
Teacher spread0.297 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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".

Quick stats

Citations2
Published2016
Admission routes1
Has abstractyes

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