Capital Relations and Health: Mediating and Moderating Effects of Cultural, Economic, and Social Capitals on Mortality in Alameda County, California
Bibliographic record
Abstract
Inspired by Bourdieu's theories on various forms of capital, conversions among them, and the fields (social spaces) delineated by possession of them, the authors investigate distinct and interconnected effects of cultural, economic, and social capitals on risk of mortality. Using 35 years of longitudinal data from the Alameda County Study (n = 6,157), they created discrete-time hazard models to predict all-cause mortality from educational attainment (institutionalized cultural capital), household income (economic capital), and different forms of personal ties (social capital). The results show that education, income, having three or more close friends, regularity of church attendance, and participation in social/recreational groups were all negatively and significantly associated with risk of mortality. Income mediated a significant portion of the education effect. None of the personal ties variables mediated the effects of education or income. Relative composition of the sum total of education and income did not have an effect. Lastly, examination of statistical interactions between capitals determined that protective effects of church attendance and participation in community betterment groups applied only to non-wealthy people. These findings speak to the structure of the U.S. social space within which health-delimiting relationally defined social classes may be made manifest.
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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 | 0.002 | 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 | 0.001 |
| 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".