Improving health access for gender diverse children, youth, and emerging adults?
Bibliographic record
Abstract
Gender diverse people are individuals who define their gender as different from the sex they were assigned as birth. This incongruence leads to a sense of discomfort within oneself, which according to the DSM-V is called gender dysphoria. The combination of dysphoria, ongoing stress, as outlined in the Minority Stress Theory (Meyer, 2003, Dohrenwend, 2000) and the stigma related to living in a society which traditionally defines gender as binary and rejects the notion of gender as fluid, is associated with psycho-social, mental, and physical health problems. Gender diverse children and young people require support from health practitioner to assist them not only in transitioning, if this is what they choose, but also to manage ongoing and preventive health care in a system which is not always welcoming and frequently hostile to them. In 2012 the United Nations General Assembly called for universal health coverage as a goal in the post-2015 Millennium Development Goal Framework. One step in attaining this goal is universal health access which is not currently being met for gender diverse individuals. Hence, we need to work together, with those that we serve, to develop appropriate, sensitive and accessible health care for all.
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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 | 0.024 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.022 | 0.029 |
| Insufficient payload (model declined to judge) | 0.009 | 0.005 |
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".