Cross-cultural perspectives on the meaning of family quality of life: Comparing Korean immigrant families and Canadian families of children with autism spectrum disorder
Bibliographic record
Abstract
This study sought to examine and compare conceptualizations and descriptions of family quality of life, from the perspectives of Korean immigrant and Canadian families of children with autism spectrum disorder. Thematic analysis of semi-structured interviews from 13 Korean immigrant parents and 12 Canadian parents of children with autism living in BC, Canada was conducted. For Korean immigrant families, three themes were identified: family cohesiveness, value orientation, and acceptance from society. For Canadian families, themes comprising family interactions, support, emotional well-being, individual characteristics, and comparisons to other families were essential elements in defining their family quality of life. Findings highlight how cultural values and differences may translate into different conceptualizations of family quality of life and underscore the need for cross-cultural and diverse perspectives in the study and development of future assessment tools. Lay abstract The purpose of this study was to compare Korean immigrant families and Canadian families of children with autism in their perceptions and definitions of family quality of life. Interviews were done with 13 Korean immigrant parents and 12 Canadian parents of children with autism living in BC, Canada. For Korean immigrant families, three themes were identified: family cohesiveness, value orientation, and acceptance from society. For Canadian families, themes comprising family interactions, support, emotional well-being, individual characteristics, and comparisons to other families were essential elements in defining their family quality of life. The findings emphasize how differences in culture may impact how we understand and assess family functioning and quality of life. If research informing the development of these tools lacks cross-cultural perspectives, service providers and professionals may fail to address these families’ unique needs.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| 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".