Inclusion Through Work and Productivity for Persons with Intellectual and Developmental Disabilities
Bibliographic record
Abstract
BACKGROUND: Employment provides an important avenue to social inclusion for most adults. A range of productivity options exist for persons with intellectual and developmental disabilities (IDD) who wish to work, each offering unique challenges relative to inclusion. METHODS: This qualitative study examined the productivity experiences of people with intellectual and developmental disabilities in Ontario, Canada. A purposive sample of 74 individuals with productivity experiences spanning the spectrum of no employment to community-based jobs was selected from a pool of volunteers recruited through a mailed survey. Semi-structured interviews were conducted with individuals and family members. Interview transcripts were subjected to a team-based analysis using grounded theory methods. RESULTS: Varying needs and interests exist in regard to work. Participants revealed a multitude of factors contributing to inclusion and exclusion through productivity. CONCLUSIONS: Productivity, whether paid or unpaid, can be an avenue to social inclusion. The experience of inclusion, particularly of belonging, depends on a successfully negotiated congruence between worker attributes and the social features and demands of the work environment.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| 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".