Transitional housing in forensic mental health: considering consumer lived experience
Bibliographic record
Abstract
BACKGROUND: For individuals involved in the forensic mental health system, access to transitional housing can offer a bridge between custody and independence. Using a methodology consistent with interpretative phenomenological analysis (IPA), this study considers the meaning associated with such participation. In this Canadian study, data was collected via interview with six individuals (n = 6) who resided, for a minimum six (6) months, in justice focused transitional housing that involved a partnership between a rural forensic mental health care facility and a nearby urban transitional housing provider. RESULTS: Following each participant interview, data was transcribed verbatim and coded for themes. Multiple methods were employed to support trustworthiness. Results indicate that participation enabled enhanced social participation, self-esteem/efficacy, community integration and renewal of daily living skills. Participants identified that involvement in justice focused transitional housing enabled development of community living skills, cultivated self-confidence and enhanced personal resilience in their transition from a secure forensic mental health facility to more independent community tenure. CONCLUSIONS: Participants in this research clearly identified the importance of transitional housing programs in supporting their move from a forensic mental health facility to the community. Not all forensic involved individuals will need this type or level of support to support their transition. Practically, however, the nature of forensic hospitalization can present real challenges for occupational participation and maintenance of community living skills. Transitional housing, accountable to unique forensic mental health and justice inputs, can offer a valuable bridge to the community.
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.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| 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".