Exploring the experiences of ableism among Asian children and youth with disabilities and their families: a systematic review of qualitative studies
Bibliographic record
Abstract
PURPOSE: Asian children and youth with disabilities often experience multiple barriers, stigmas and discrimination within and outside their families; yet less is understood about their lived experiences. This systematic review explored the experiences of ableism among Asian children and youth with disabilities and their families. METHODS: We conducted a systematic review of qualitative studies and a qualitative meta-synthesis. We searched six databases including Ovid Medline, Embase, PsychInfo, Healthstar, Web of Science, and Scopus. RESULTS: Forty-two articles met our inclusion criteria involving 17 countries and regions over a 22-year period. The findings were synthesized into four themes: (1) individual- and family-level ableism (i.e., stigma, fears, concerns, stress and anxieties, physical abuse, bullying, reduced engagement in community activities); (2) institutional-level ableism (i.e., barriers to accessing and navigating supports, ableist attitudes among service providers, unavailable services); (3) societal-level ableism (i.e., cultural and religious stigma, social rejection, discrimination, environmental and policy barriers); and (4) coping strategies (i.e., self-care activities, supports from family, friends and people with similar conditions, religious beliefs). CONCLUSIONS: Our results highlight the ableist experiences that Asian children and youth with disabilities and their caregivers often encounter and the strong need for further supports to address ableism using culturally responsive strategies.
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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 | 0.030 | 0.056 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.011 | 0.012 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".