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Record W4400927268 · doi:10.21926/obm.icm.2403042

Filial Piety Discrepancy and Wellbeing among Older Chinese Immigrants Living in Canada: The Role of Acculturation and Living Arrangement

2024· article· en· W4400927268 on OpenAlexaffabout
Vivian Huang, Alexandra Fiocco

Bibliographic record

VenueOBM Integrative and Complementary Medicine · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsAcculturationFilial pietyImmigrationGerontologyPsychologySociologyGender studiesGeographyMedicine

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.131
Threshold uncertainty score0.273

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.007
GPT teacher head0.267
Teacher spread0.260 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2024
Admission routes2
Has abstractyes

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