An Empirical Evaluation of Social Support and Psychological Well-being in Older Chinese and Korean Immigrants
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: To examine, among older Chinese and Korean immigrants: (1) the concept and measurement of perceived social support; (2) levels of social support and psychological well-being by living arrangement; and (3) whether social support is positively related to psychological well-being. DESIGN: A convenience sample of 200 self-identified Chinese and Koreans, aged 65 years and older, were interviewed. Psychometric analysis was conducted to examine the reliability and validity of a new social support measure. Bivariate and multivariate analyses were used to examine the relationship between social support and psychological well-being. RESULTS: Factor analysis revealed a four-factor solution of social support and adequate psychometrics of all social support scales was found. Multivariate results suggest that Koreans have more depression than Chinese (p < 0.01). Those who lived with their spouse and adult children had lower overall psychological well-being (p < 0.05) and lower positive affect (p < 0.05) compared to those who lived alone. Having more emotional/companionship support significantly (p < 0.001) contributed to better overall psychological well-being, having less depression and higher positive affect. CONCLUSIONS: A new multidimensional social support measure for use with older Chinese and Koreans could be useful upon further validation. These results suggest that older Chinese and Koreans' psychological well-being may be negatively affected when they live with their adult children. More depression in Koreans may be related to difficulties in expanding their social network beyond Korean-speaking people.
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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 | 0.004 | 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 | 0.000 |
| 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 it