A Review of Acculturation Measures and Their Utility in Studies Promoting Latino Health
Why this work is in the frame
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Bibliographic record
Abstract
The authors reviewed the acculturation literature with the goal of identifying measures used to assess acculturation in Hispanic populations in the context of studies of health knowledge, attitudes, and behavior change. Twenty-six acculturation measures were identified and summarized. As the Hispanic population continues to grow in the United States, there is a need to develop rigorous acculturation measures that include health indicators. Findings suggest that multidimensional acculturation scales are robust measurement tools when assessing nationality, cultural awareness, media and language preferences, and health status. Furthermore, aspects of Hispanic cultural lifestyle, such as beliefs about nutrition and physical activity, affect health care utilization, treatment, and prevention. Health communication researchers should consider aspects of cultural values and beliefs, and their impact on health status, for future research and health promotion interventions.
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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 | 0.016 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 it