Review on Vocational Training and Employment of Individuals with Autism Spectrum Disorder
Bibliographic record
Abstract
Organizations have developed programs for the vocational training of adults with Autism Spectrum Disorder (ASD). Some programs reflect trends in the labor market. The interest of policy planning is focused on social perceptions and successful social and vocational inclusion. Aim is the review of programs for vocational training and education-to-employment transition for adults with ASD and the provision of a critical evaluation of their results. The study entailed a review of the relevant literature, starting from the 1980s, since before that time there had been no systematic state provision of vocational training. The inclusion criteria for the study were: (a) the sample included adults diagnosed with ASD, (b) the programs included interventions for vocational training and inclusion, models for teaching vocational and social skills in the context of supported employment. Study revealed interesting findings related to vocational training and the inclusion prospects for adolescents and adults with ASD, which could further influence social protection planning and support measures for them. It showed that educational policy in the last ten years has included the vocational training and inclusion of individuals with ASD and, therefore, more flexible programs and alternative forms of independent living are being developed for them. Social mentality plays significant role for the social and vocational inclusion of adults with ASD. Some steps might be opportunities for participation in vocational programs, their enrichment, vocational counseling and guidance, opportunities for continuous development of working skills along with INSET and counseling, financial support to employees and a consistent policy towards vocational inclusion.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".