Barriers to well-being for Aboriginal gender-diverse people: results from the Trans PULSE Project in Ontario, Canada
Bibliographic record
Abstract
Purpose – Despite health inequities experienced by Aboriginal and transgender (trans) communities, little research has explored the well-being of Aboriginal trans (gender-diverse) people. This paper aims to describe barriers to well-being in a sample of Aboriginal gender-diverse people in Ontario, Canada. Design/methodology/approach – In 2009-2010, 433 trans people in Canada's most populous province participated in a multi-mode health survey. In all, 32 participants identified as First Nations, Métis, or Inuit (Aboriginal); unweighted frequencies were calculated to describe their characteristics. Findings – Participants expressed diverse gender identities; 44 per cent identified with the pan-Aboriginal term two-spirit. High levels of poverty (47 per cent), homelessness or underhousing (34 per cent), and ever having to move due to being trans (67 per cent) were reported. In all, 61 per cent reported at least one past-year unmet health care need. Most participants had experienced violence due to being trans (73 per cent) and had ever seriously considered suicide (76 per cent). One-fifth had been incarcerated while presenting in their felt gender. Aboriginal spirituality was practiced by 44 per cent, and 19 per cent had seen an Aboriginal Elder for mental health support. Research limitations/implications – Action is needed to address the social determinants of health among Aboriginal gender-diverse people. Using principles of self-determination, there is a need to increase access to health and community supports, including integration of traditional culture and healing practices. Larger study samples and qualitative research are required. Originality/value – These first published data regarding the health of Aboriginal gender-diverse Ontarians illustrate both their heterogeneity and all-too-common experiences of individual and systemic discrimination, and barriers to care. Results highlight potential impacts of colonialism and social exclusion, and suggest priorities for ameliorative action.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".