How Transportation Disadvantage Hinders Mobility, Service Access, and Exiting Homelessness
Bibliographic record
Abstract
For people experiencing homelessness, the ability to move between and within communities is an important aspect of achieving stability and improving overall well-being. However, people experiencing homelessness are often transportation disadvantaged, which creates barriers to health management, housing, employment, and social service connections. This paper draws on qualitative interviews with frontline homeless service providers (N=21) in a large, geographically diverse region of New York State to explore the impact of transportation disadvantage on mobility, service use, and exiting homelessness. Findings center on how the housing process often necessitates significant mobility (e.g., moving between communities or counties) and how a lack of transportation access limits the mobility necessary for gaining stability. The findings illustrate the insurmountable nature of transportation disadvantage in many communities and how this disadvantage continues and even worsens once a person is housed. Implications for practice, policy, and research are discussed.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".