âRiver of life, rapids of changeâ: Understanding HIV vulnerability among Two-Spirit youth who migrate to Toronto
Bibliographic record
Abstract
Like most large urban centres in Canada, Toronto is a magnet for two-spirit youth who leave reserve communities and smaller cities and towns seeking safety and a sense of community. The Youth Migration Project was a community-based research project that was formed out of increasing community concern for these youth as well as other lesbian, gay, bisexual, and transgender young people. Despite increasing HIV incidence among two-spirit youth, little is understood about how their migration experiences might heighten their risk for HIV infection. We interviewed thirteen two-spirit youth to better understand how migrating to a large urban centre like Toronto is linked to heightened HIV vulnerability. We also interviewed an additional eight key informants seeking their insights into the same questions. Two-spirit youth spoke of escaping abusive, oppressive and homophobic home communities, and their dreams of a better life in Toronto. Once they arrived in Toronto, however, the illusion of an accepting and welcoming community was shattered. Racism, poverty, unemployment, unstable housing, inaccessible services, and sexual exploitation were commonly experienced by two-spirit youth. Many coped with their new situations by engaging in survival sex to pay the bills, or by using substances to cope with isolation, loss, and emotional pain. These factors can lead to potentially heightened risk situations for HIV among migrant two-spirit youth. In addition to a series of recommendations intended to meet their immediate service needs, we propose numerous strategies for longer-term change to improve quality of life for migrant two-spirit youth.
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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 | 0.011 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".