Benefits of residential immersive life skills programs: a prospective study of autonomy and self-efficacy gains and sex differences in youth with disability
Bibliographic record
Abstract
PURPOSE: To determine whether Residential Immersive Life Skills programs (RILS) result in reliable change in autonomy and self-efficacy of youth with disabilities and whether gains persist over time. Sex differences and program response patterns were also examined. MATERIALS AND METHODS: Autonomy from the ARC's Self-Determination Scale and self-efficacy from the General Self-Efficacy Scale were completed by participants at baseline, post-intervention, 3-month, and at 12-month follow-ups. Reliable change index was calculated and examined over time. RESULTS: Autonomy improved significantly following the completion of RILS program and gains persisted and increased at 12-month follow-up. Participants who reliably improved in autonomy (program-responders) also improved in self-efficacy. The program-responders began the program with significantly lower autonomy and self-efficacy scores at baseline and differed in personal factor relative to those who did not experience increased autonomy post-program (non-responders). There were sex differences in program response with more male participants responding to the program. CONCLUSIONS: RILS programs can result in sustained improvements in autonomy and self-efficacy. Urgency for change and personal needs/priorities may contribute to growth experiences. We recommend including a social connectedness module that formally facilitates friendships and social development to better meet the social needs of all youth, especially females with disabilities.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".