Perceptions of disability among south Asian immigrant mothers of children with disabilities in Canada: implications for rehabilitation service delivery
Bibliographic record
Abstract
PURPOSE: The objectives of this study were to describe perceptions of disability among South Asian immigrant mothers of children with disabilities in a large multicultural urban centre in Ontario, Canada, and to explore how these perceptions influence rehabilitation services. The study was built on our previous work conducted with mothers in South Asia. METHODS: A descriptive qualitative research design was employed. Semi-structured interviews were conducted with five mothers who had immigrated to Canada from South Asia in the last decade, and whose children were receiving outpatient rehabilitation services. RESULTS: Three primary themes were identified: (1) perceptions of disability reflected a mix of traditional and western beliefs; (2) mothers experienced physical, emotional and social suffering related to socio-cultural and material barriers and (3) mothers' primary goal for their children was the achievement of independent walking, which was linked to notions of achieving a ?normal? life and the desire for more rehabilitation interventions. CONCLUSIONS: South Asian immigrant mothers' perceptions of their children's disabilities had important similarities and differences to mothers living in South Asia. Healthcare professionals can assist families in managing and coping with their child's disabilities by exploring their unique values and beliefs and identifying achievable outcomes together.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".