Exploring the occupations of homeless adults living with mental illnesses in Toronto / Explorer les occupations d’adultes sans-abri atteints de maladies mentales vivant à Toronto
Bibliographic record
Abstract
BACKGROUND: The nature of occupational engagement for homeless people living with mental illnesses is not well understood, and there are few studies to date that examine the occupational lives of these individuals. PURPOSE: This research study seeks to understand how this group of individuals engages in occupations. The central question is "What is the nature of occupational engagement by homeless adults living with mental illnesses in Toronto?" METHOD: A constant comparative method of analysis was used in a secondary analysis of 60 interviews with homeless adults experiencing mental illness. FINDINGS: Four themes emerged that describe the nature of occupational engagement for this group: occupations as enjoyment, occupations as survival/risk, occupations as passing time, and occupations as self-management. Implications. This research informs occupational therapy interventions aimed at optimizing engagement, health, and well-being for homeless adults living with mental illnesses.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| 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".