Environmental Factors that Impact the Workplace Participation of Transition-Aged Young Adults with Brain-Based Disabilities: A Scoping Review
Bibliographic record
Abstract
Workplace participation of individuals with disabilities continues to be a challenge. The International Classification of Functioning, Disability and Health (ICF) places importance on the environment in explaining participation in different life domains, including work. A scoping review was conducted to investigate environmental facilitators and barriers relevant to workplace participation for transition-aged young adults aged 18-35 with brain-based disabilities. Studies published between 1995 and 2018 were screened by two reviewers. Findings were categorized into the ICF's environmental domains: Products and technology/Natural environment and human-made changes to environment, Support and relationships, Attitudes, and Services, systems and policies. Out of 11,515 articles screened, 31 were retained. All environmental domains of the ICF influenced workplace participation. The majority of the studies (77%) highlighted factors in the Services, systems and policies domain such as inclusive and flexible systems, and well-defined policies exercised at the organizational level. Social support mainly from family, friends, employers and colleagues was reported as a facilitator (68%), followed by physical accessibility and finally, the availability of assistive technology (55%). Attitudes of colleagues and employers were mostly seen as a barrier to workplace participation (48%). Findings can inform the development of guidelines and processes for implementing and reinforcing policies, regulations and support at the organization level.
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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 | 0.004 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 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".