A preliminary exploration of different coping strategies used by Korean immigrant parents of autistic children in high versus low family quality of life ratings
Bibliographic record
Abstract
The experiences of coping in parents of autistic children have been extensively studied in the literature. While this research has identified both effective and ineffective coping strategies used by caregivers, no studies to date have examined how coping strategies used by parents might be linked to family quality of life outcomes. Furthermore, few studies exist examining both coping strategies and family quality of life in culturally and linguistically diverse populations. Thus, this study aimed to address both limitations. A total of 12 Korean immigrant parents of autistic children, 6 representing the high family quality of life group and 6 representing the low family quality of life group, shared their experiences related to coping and managing stress. Responses fell under three broad categories (problem-focused, emotion-focused, and adjustment-focused) with differences observed when comparing the high versus low family quality of life groups. A better understanding of the link between coping strategies and family quality of life outcomes may help identify effective and culturally sensitive supports for caregivers and families to improve their quality of life and well-being. Lay abstract The experiences of coping in parents of autistic children have been extensively studied in the literature. While this research has identified both effective and ineffective coping strategies used by caregivers, no studies to date have examined how coping strategies used by parents might be linked to family quality of life outcomes. Furthermore, few studies exist examining both coping strategies and family quality of life in culturally and linguistically diverse populations. Thus, this study aimed to address both limitations. A total of 12 Korean immigrant parents of autistic children, 6 representing the high family quality of life group and 6 representing the low family quality of life group, shared their experiences related to coping and managing stress. Responses fell under three broad categories (problem-focused, emotion-focused, and adjustment-focused) with differences observed when comparing the high versus low family quality of life groups. A better understanding of the link between coping strategies and family quality of life outcomes may help identify effective and culturally sensitive supports for caregivers and families to improve their quality of life and well-being.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".