Youth should decide: the principle of subsidiarity in paediatric transgender healthcare
Bibliographic record
Abstract
Drawing on the principle of subsidiarity, this article develops a framework for allocating medical decision-making authority in the absence of capacity to consent and argues that decisional authority in paediatric transgender healthcare should generally lie in the patient. Regardless of patients' capacity, there is usually nobody better positioned to make medical decisions that go to the heart of a patient's identity than the patients themselves. Under the principle of subsidiarity, decisional authority should only be held by a higher level decision-maker, such as parents or judges, if lower level decision-makers are incapable of satisfactorily addressing the issue even with support and the higher level decision-maker is better positioned to satisfactorily address the issue than all lower level decision-makers. Because gender uniquely pertains to personal identity and self-realisation, parents and judges are rarely better positioned to make complex medical decisions. Instead of taking away trans youth's authority over their healthcare decisions, we should focus on supporting their ability to take the best possible decision for themselves.
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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 | 0.025 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.048 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".