Invisible populations: <scp>LGBTQ</scp> people and federal health policy in <scp>C</scp>anada
Bibliographic record
Abstract
Abstract This article reviews the state of federal health policy discourse toward the LGBTQ population in Canada. Despite the advent of greater attention to diversity and gender mainstreaming in federal public policy and the shift to legalized rights protections for LGBTQ people, symbolized by policies such as same‐sex marriage, LGBTQ health concerns continue to be marginalized in federal health policy. Based on a systematic review of federal policy documents and websites as well as a small number of interviews with federal policy‐makers, the research demonstrates the extent to which LGBTQ health concerns are rendered invisible in federal health policy. The article suggests several ways in which a commitment to gender‐based policy analysis could be expanded to take account of diverse health needs of LGBTQ Canadians.
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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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.041 | 0.031 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 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".