Canadian Health Research Funding Patterns for Sexual and Gender Minority Populations Reflect Exclusion of Women
Bibliographic record
Abstract
Purpose: We explored the funding areas of Two-Spirit, lesbian, gay, bisexual, transgender (trans), queer or questioning, and intersex individuals (2S/LGBTQI)-specific health research funded by the Canadian Institutes of Health Research (CIHR) mentioned in the grant abstracts. Methods: We analyzed the publicly available database of grant abstracts funded by CIHR from 2009–2020 to examine what types of 2S/LGBTQI-specific health outcomes would be studied and in what populations. Results: We found that 58% of awarded grant abstracts mentioned studying sexually transmitted diseases, the majority of which was on human immunodeficiency virus. Of the funded 2S/LGBTQI grant abstracts that specified the gender of the population to be studied (n=23), less then 9% mentioned studying cisgender women. Almost 40% mentioned including trans women/girls, and 30% mentioned including trans men/boys. None of the studies examined mentioned work with the Two-Spirit community. Conclusion: These results reflect larger social and health inequities that require structural level changes in research to support the 2S/LGBTQI community.
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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 | 0.017 | 0.061 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.011 | 0.022 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".