Improving Participation among Youth with Disabilities within Their Unique Socio-Cultural Context during COVID-19 Pandemic: Initial Evaluation
Bibliographic record
Abstract
BACKGROUND: Participation in meaningful activities is important for quality of life among youth with disabilities; yet participation is often restricted during adverse times. This study aimed to explore the effectiveness of the Pathways and Resources for Engagement and Participation (PREP) intervention among ultra-Orthodox Jewish Israeli youth with disabilities during the COVID-19 pandemic. METHODS: A 20-week single-subject research design with multiple baselines measuring participation goals/activities was employed with two youths (15 and 19 years old) combining quantitative and qualitative descriptive data. Changes in participation levels were measured biweekly using the Canadian Occupational Performance Measure; COPM; participation patterns were measured using the Participation and Environment Measure-Children and Youth; PEM-CY pre- and post-intervention; parents' satisfaction was measured using the Client Satisfaction Questionnaire, CSQ-8. Semi-structured interviews were conducted post-intervention. RESULTS: Both participants significantly improved participation in all selected goals and participation patterns, and were highly satisfied with the intervention. The interviews revealed additional information on personal and environmental barriers, factors supporting intervention, and intervention effects. CONCLUSIONS: The results indicated that an environment-centered and family-centered approach can potentially improve the participation of youths with disabilities within their unique socio-cultural context, during adverse times. Flexibility, creativity, and collaboration with others also contributed to intervention success.
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".