A Multi-Lens Ethics Analysis of Gender-Affirming Care for Youth with Implications for Practice and Policy
Bibliographic record
Abstract
Currently, the provision of gender-affirming care to transgender and gender-diverse youth is highly contested. Fractious debate is being waged by GAC-permissive and GAC-restrictive proponents which has, importantly, spilled-over into the political domain. In the paper, an ethics analysis of gender-affirming care for youth is employed through the application of a set of relevant, ethics lenses, i.e., individual and relational autonomy; patient welfare (comparative benefits and burdens of GAC); health equity; traditional-distributive, formal and social justice; and injustices related to health research and political interference. In the author's view, this multi-lens analysis supports the continued use of a potentially adapted version of the gender-affirming care model in the assessment and treatment of transgender and gender-diverse youth. Arising from the analysis, a set of suggested recommendations is proposed that could potentially inform clinical practice and the development/revision of gender-affirming care for youth practice-standards, health policy and legislation.
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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 | 0.027 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.011 | 0.031 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".