Activity Employment in Autism: Reflections on the Literature and Steps for Moving Forward
Bibliographic record
Abstract
Reflecting an address given at the Autism Challenges and Solutions International Conference in Moscow in April 2019, this paper reviews selected studies within the author’s program of research as well as selected literature addressing pathways to employment for adults with autism. A range of employment support programs are considered, representing promising approaches. Attention is given to environmental elements that appear to have a bearing on individual employment experience and outcomes. These elements point to a person in environment approach which is increasingly supported by emerging evidence. This approach is conveyed as the employment ecosystem, with constituent elements that include the individual (employee or potential employee), family, employer, co-workers, work setting, community services, and embedded labor, health and disability policy. These various components of the ecosystem offer relevance in terms of understanding employment options and experiences of autistic adults. Recommendations for advancing this field are offered.
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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 | 0.023 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.005 | 0.014 |
| Scholarly communication | 0.011 | 0.025 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.009 | 0.011 |
| Insufficient payload (model declined to judge) | 0.007 | 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".