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
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. 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. 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. 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. Youth’s autonomy improves following participation in Residential Immersive Life Skills programs.Over time, improvements in youth autonomy may lead to improvements in self-efficacy.It is important to measure gains over time as beneficial change increase over time.More male participants may experience outcome change in autonomy than female participants.Urgency for change and personal needs/priorities may contribute to growth experiences. Youth’s autonomy improves following participation in Residential Immersive Life Skills programs. Over time, improvements in youth autonomy may lead to improvements in self-efficacy. It is important to measure gains over time as beneficial change increase over time. More male participants may experience outcome change in autonomy than female participants. Urgency for change and personal needs/priorities may contribute to growth experiences.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".