Advancing 2S/LGBTQ+ Health Equity: A Call for Structural Action
Bibliographic record
Abstract
The social, mental, physical and sexual health of diverse Two-Spirit, lesbian, gay, bisexual, transgender, queer and other sexual and gender minority (2S/LGBTQ+) populations across Canada and globally is under threat. In Canada, we are not immune to the rise in divisive and regressive policies and rhetoric that is negatively impacting the lives of 2S/LGBTQ+ people in the US and across the world (HRC Staff 2023; United Nations 2022). Make no mistake, the threats to the human rights and health of 2S/LGBTQ+ communities are growing in Canada as well (Benchetrit 2023). Health systems leaders and scholars can play a critical role in learning about, addressing and advocating for health equity for 2S/LGBTQ+ communities. This themed issue focuses on the urgency of addressing the social and structural determinants of health inequity for 2S/LGBTQ+ communities in a context of political volatility.
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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 | 0.052 | 0.038 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.020 | 0.079 |
| Scholarly communication | 0.025 | 0.025 |
| Open science | 0.005 | 0.029 |
| Research integrity | 0.029 | 0.040 |
| Insufficient payload (model declined to judge) | 0.019 | 0.002 |
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".