The Changing Meaning of Family Support Among Older Chinese and Korean Immigrants
Bibliographic record
Abstract
OBJECTIVE: Our objective in this study was to examine how family social-support expectations have changed among older Chinese and Korean U.S. immigrants. METHODS: Fifty-two Cantonese- and Korean-speaking immigrants older than 60 years participated in eight focus groups. Transcripts were translated into English. Themes were developed based on a coding structure and compared to past research. RESULT: Participants discussed changed perspectives of family social support and the need to integrate both American and Chinese or Korean culture, thus becoming bicultural. Three distinct perspectives of family emerged: (1) participants felt they had become peripheral family members, (2) parents were no longer authority figures in families, and (3) participants were more independent. Finally, participants described how factors such as a changed economic environment, living alone, and extending their social network beyond family, promoted a move to biculturalism. DISCUSSION: These results suggest that the integration of two cultures, or biculturalism, is an indicator of successful adaptation to immigration later in life; older Chinese and Korean immigrants are adjusting to living in the United States and blending multiple cultures simultaneously. Thus, acculturation frameworks implying a linear process may not be theoretically valid as ethnic identity, particularly for those who immigrate to different countries, changes over the life course.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".