Vocational training for youth with intellectual and developmental disabilities: a program evaluation of the Impact Project
Bibliographic record
Abstract
PURPOSE: Previous research in social inclusion investigating low employment rates among individuals with intellectual and developmental disabilities (IDD) points to shortcomings in vocational training for transitioning youth, exiting school environments. This study presents a program evaluation of the Impact Project, a community-based and person-centered vocational training program for youth with IDD, aged 15-19 years, in British Columbia (BC), Canada to assess whether early vocational training improved employment experiences for youth with IDD. MATERIALS AND METHODS: The study sample included 279 youth with IDD, who were part of summer programs in 2020, 2021, and 2022 at eight established community-based organizations in BC. Employment specialists at these organizations provided vocational activities and training, collecting the youth's employment experiences in pre- and post-program surveys and activity diaries. This evaluation of the Impact Project employed a formative evaluation design to answer whether the youth-centered vocational training improved employment experiences. RESULTS: Participating in the Impact Project led to an increase in soft skills and unpaid and paid employment experiences for youth with IDD, aged 15-19 years. CONCLUSIONS: Community-based policies could benefit from person-centered approaches when providing employment-related planning for youth with IDD in preparation for transitions from school into employment environments.
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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 | 0.009 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".