The continuum of informed consent models in transgender health
Bibliographic record
Abstract
Using the ‘Informed Consent Model’ (ICM), clinicians prescribing hormone therapy to trans patients do not require a letter from mental health professionals attesting to their gender identity and/or gender dysphoria (and/or equivalent diagnostic or assessment category). Patients who are trans have a gender identity that does not correspond to the gender they were assigned at birth. A reaction to the paternalism and pathologization of trans people that have plagued trans healthcare, the proliferation of ICMs echoes the growing commitment to autonomy and patient-centred care by clinicians working with trans communities. The World Professional Association for Transgender Health’s Standards of Care (WPATH SOC) Version 7 acknowledges the validity of ICMs (1). Despite their prevalence and history in North America, ICMs remain poorly understood by medical professionals and are often treated as a monolithic concept (2,3). Existing research shows that ICMs are associated with good patient...
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".