Acculturation gap conflicts and self-rated health among Hispanic emerging adults.
Bibliographic record
Abstract
INTRODUCTION: Emerging adulthood is a distinct and challenging developmental stage of life. It may be particularly stressful for Hispanic emerging adults due to various cultural stressors. However, there is little research on the impact of one particular cultural stressor, the acculturation gap. Therefore, this study aims to examine whether acculturation gap conflicts are associated with self-rated health. METHOD: Participants were recruited in Arizona and Florida, and 200 Hispanic emerging adults (ages 18-25) completed a cross-sectional survey. Data were analyzed using hierarchical multiple regression. RESULTS: Coefficients from a hierarchical multiple regression model indicated that higher levels of acculturation gap conflicts were associated with lower self-rated health after controlling for psychological stress and other demographic variables. DISCUSSION: This is the first study on acculturation gap conflicts and self-rated health among Hispanics. Findings from this study indicate that acculturation gap conflicts are associated with self-rated health and merit further investigation as they may have implications for health interventions targeting Hispanics. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".