Beyond the Rainbow: Advancing 2S/LGBTQ+ Health Equity at a Time of Political Volatility
Bibliographic record
Abstract
Two-Spirit, lesbian, gay, bisexual, transgender, queer and other sexual and gender minority (2S/LGBTQ+) populations continue to experience profound health disparities. In this article, we prioritize five issues in 2S/LGBTQ+ health equity and discuss policy interventions to address disparities in each area: (1) poverty in 2S/LGBTQ+ communities; (2) Two-Spirit mental health; (3) health equity issues in migrant and racialized LGBTQ+ populations; (4) challenges in implementing bans on conversion therapy; and (5) the evolving context of gender-affirming care. Multi-level policy interventions, including those in healthcare-adjacent contexts such as housing and immigration, will be critical to address the structural undercurrents driving health inequities for 2S/LGBTQ+ populations. Recognizing growing complexity and political volatility in the lives of 2S/LGBTQ+ people across Canada, we challenge healthcare policy actors to recognize the breadth of structural barriers to 2S/LGBTQ+ health equity issues and act with urgency in this area.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.012 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.024 | 0.032 |
| Scholarly communication | 0.017 | 0.010 |
| Open science | 0.002 | 0.016 |
| Research integrity | 0.006 | 0.013 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".