Socioeconomic and Racial-ethnic Disparities in Prosocial Health Attitudes
Bibliographic record
Abstract
Research on prosocial attitudes, social networks, social capital, and social stratification suggest that lower-socioeconomic status (SES), Hispanic, and nonwhite individuals will be more likely than their higher-SES and non-Hispanic white counterparts to engage in health behaviors that serve a social good. Analyzing data from the University of North Carolina Human Papillomavirus (HPV) Immunization in Sons Study, we test whether SES and race-ethnicity are associated with willingness to vaccinate via prosocial attitudes toward HPV vaccination among adolescent males (n = 401) and parents (n = 518). Analyses revealed that (a) parents with lower education and (b) black and Hispanic parents and adolescent males reported higher prosocial vaccination attitudes, but only some attitudes were associated with higher willingness to vaccinate. We discuss these findings in terms of how prosocial attitudes may motivate certain health behaviors and serve as countervailing mechanisms in the (re)production of health disparities and promising targets of future public health interventions.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".