Supporting intersecting cultural needs of gender and age by increasing cultural safety and humility for Housing First initiatives
Bibliographic record
Abstract
BACKGROUND: To sufficiently house and support persons experiencing homelessness (PEH), deeper understandings of the cultural appropriateness and responsiveness of community resources and the service delivery system is essential. In the case of Metro Vancouver, Canada, the cultural appropriateness and responsiveness of Housing First as a service model for supporting PEH was explored. METHODS: Local service providers and stakeholders (n = 52) participated in three full day service-mapping workshops to identify Housing First supports for older adults, youth, and women experiencing homelessness, as part of a municipal-wide participatory and action-oriented study. Data were analyzed using a structured framework thematic analysis approach and cultural safety and humility lenses. RESULTS: We generated three key themes: (i) insufficient built environments create challenges across gender and age, (ii) cultural safety and humility concerns at the intersection of gender and age, and (iii) implications for a culturally-responsive Housing First implementation. CONCLUSIONS: Findings informed the development of a Culturally-Responsive Planning resource to support housing, health, and social service providers who are implementing Housing First initiatives.
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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 | 0.010 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.008 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.011 |
| 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".