"Here, I feel completely whole": Exploring how YWCA Hamilton's Safer Drug Use Space supports women and non-binary people experiencing gender-based homelessness
Bibliographic record
Abstract
YWCA Hamilton’s Safer Drug Use Space (SUS) is one of only two gender-specific safe consumption spaces in Canada, and the only one integrated into an emergency drop-in program. It is widely acknowledged in both the scholarly literature and by social service and healthcare providers that women and non-binary people are vulnerable to violence and coercion when using substances around men. They also have different needs from harm reduction programs that are not always met in all-gender safe consumption sites. Furthermore, the integration of safe consumption sites in emergency shelters and drop-ins has been found to lower the number of drug poisonings in the area. This study sought to build upon this existing body of literature by speaking with service users from SUS about how they have been supported by the program in its first year of operation, and how it could be improved. Five service users were engaged in individual, qualitative interviews conducted by one of the front-line staff at SUS who is also a student at McMaster University. The “in-between” position of the researcher and previously established rapport with the participants generated nuanced insights to come out of these conversations. Four themes came out of the data: (1) the importance of positive service user/staff relationships; (2) staff knowledge and expertise; (3) SUS being considered a “safe” place and like a “home” to service users; and (4) accessibility of the space for service users being a contributor to why people return to SUS. This study revealed that aligning their harm reduction framework to include safe consumption onsite has meant SUS staff and service users develop more trusting relationships with each other. This allows them cooperate in unique ways to keep the community safe and connect service users to necessary social and healthcare supports.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.017 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".