The Case for the World Health Organization’s Commission on the Social Determinants of Health to Address Sexual Orientation
Bibliographic record
Abstract
The World Health Organization's (WHO's) social determinants of health discussion underscores the need for health equity and social justice. Yet sexual orientation was not addressed within the WHO Commission on the Social Determinants of Health final report Closing the Gap in a Generation. This omission of sexual orientation as a social determinant of health stands in stark contrast with a body of evidence that demonstrates that sexual minorities are disproportionately affected by health problems associated with stigma and discrimination, such as mental health disorders. I propose strategies to integrate sexual orientation into the WHO's social determinants of health dialogue. Recognizing sexual orientation as a social determinant of health is an important first step toward health equity for sexual minorities.
Stored with the screening record, where it is evidence for the labels above.
How this classification was reachedexpand
The three-model screen
all 5,600 screened works →All three models called this out of scope.
Commentary arguing that WHO should treat sexual orientation as a social determinant of health; a health-policy argument rather than a study of research practice.
It advocates a change in health-equity policy concerning sexual orientation, not research practice or governance.
Public-health policy argument to include sexual orientation in WHO social determinants; not research-system policy.
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 | 0.127 | 0.119 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.024 |
| Scholarly communication | 0.014 | 0.016 |
| Open science | 0.005 | 0.013 |
| Research integrity | 0.045 | 0.088 |
| Insufficient payload (model declined to judge) | 0.009 | 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".