Enhancing Employment Access for People with Disabilities through Transportation: Insights from Workers with Disabilities, Employers, and Transportation Providers
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Transportation is integral to the employment accessibility and sustainability of people with disabilities. This study aims to identify barriers, facilitators, and solutions to commuting for people with disabilities, drawing from their perspectives as well as those of employers and transportation providers. Through semi-structured individual interviews, insights were gathered from sixteen individuals with disabilities, seven employers, two job integration agents, and four transporters. Qualitative analysis of the interview transcripts revealed factors influencing commuting, including personal attributes and environmental factors. This study underscores the significant impact of environmental factors, particularly the role of social networks and transport infrastructure in either supporting or hindering public transportation use for people with disabilities who commute to work. For example, employers’ limited awareness of their employees’ commuting challenges contrasts with their recognition of their potential role in supporting it. Training and disability awareness initiatives emerge as pivotal solutions to empower individuals within the social network, including transport personnel, fellow passengers, and employers, to facilitate public transportation use by people with disabilities for work commutes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it