Experiences of Trans Women and Two-Spirit Persons Accessing Women-Specific Health and Housing Services in a Downtown Neighborhood of Vancouver, Canada
Bibliographic record
Abstract
PURPOSE: Little is known about trans womens' experiences accessing gender-segregated health and housing services, particularly services for marginalized individuals living in poverty. As such, we conducted a qualitative investigation into experiences of accessing women-specific health and housing services among trans women and two-spirit persons in a downtown neighborhood of Vancouver, Canada. METHODS: Between June 2012 and May 2013 interviews were conducted with 32 trans women and two-spirit individuals who had accessed women-specific health and/or housing services. Participants were recruited from four open prospective cohorts of sex workers and individuals who use drugs. Interview data were analyzed using a participatory analysis approach with two participants who were hired as research assistants. RESULTS: Participants were generally able to access women-specific services in the neighborhood. However, there were reports of discrimination related to gender identity, discrimination based on gender expression (e.g., requirement of a feminine gender expression), and lack of staff intervention in harassment from other service users. CONCLUSION: Trans women and two-spirit persons in our study relied upon services for their health and safety and, therefore, exclusion from women-specific services had potentially severe adverse consequences such as homelessness and sexual violence. Recommendations to improve accessibility, including policy development and procedural recommendations, are put forth.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.006 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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".