Filial Piety Discrepancy and Wellbeing among Older Chinese Immigrants Living in Canada: The Role of Acculturation and Living Arrangement
Bibliographic record
Abstract
This survey-based, cross-sectional study explored the independent and synergistic effect of filial piety discrepancy (FPD), acculturation, and living arrangement on the psychological, social, and physical wellbeing of older Chinese immigrants living in Canada. A total of 299 older Chinese immigrants were recruited from community organizations in the Greater Toronto Area. Participants completed questionnaires that assessed demographic information, filial piety, living arrangement, acculturation, and three domains of wellbeing. Greater FPD was associated with lower self-reported psychological, social, and physical wellbeing. Co-residence with adult children was also associated with greater psychological wellbeing. Although living arrangement did not moderate the association between FPD and wellbeing, a significant interaction between FPD and acculturation indicated that the association between greater FPD and poorer psychological wellbeing was strongest for those with lower acculturation levels. This study confirms previous associations found between FPD and psychological wellbeing, and further extends this association to social and physical indices of wellbeing. Study findings further highlight the importance of acculturation in the relationship between FPD and wellbeing among older Chinese immigrants.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| 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".