Occupational Therapy Needs Assessment of Male United States Veterans who are Homeless
Bibliographic record
Abstract
The current occupational therapy research base related to individuals who are homeless is sparse, and few studies have identified the various needs of subgroups within the population. To provide appropriate interventions, treatment, and program development for homeless veterans, an understanding of their occupational performance, including impact of prior experiences, roles, and meaningful and valued activities is necessary. This study used qualitative methodology to explore the needs of a small number of male United States veterans in urban Western Washington who are currently or were previously homeless, in order to determine in what way the occupational therapy profession can best meet the needs of this client population. Two previously homeless veterans, an occupational therapist, and a social worker were interviewed. Themes derived from the responses of participants included the impact of decreased self-efficacy, the use of roles, and environmental supports and barriers. An increased understanding of the challenges, barriers, and supports that impact the lives of homeless veterans may provide occupational therapists with the knowledge to create appropriate and valid interventions to increase occupational performance.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".