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Record W4210502428 · doi:10.1136/medethics-2021-107820

Youth should decide: the principle of subsidiarity in paediatric transgender healthcare

2022· article· en· W4210502428 on OpenAlexaff
Florence Ashley

Bibliographic record

VenueJournal of Medical Ethics · 2022
Typearticle
Languageen
FieldMedicine
TopicEthics and Legal Issues in Pediatric Healthcare
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSubsidiaritynobodyDecision makerHealth careTransgenderIdentity (music)Public relationsPsychologyLawSociologyPolitical scienceComputer scienceManagement scienceBusinessComputer securityEconomicsEuropean union

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.032
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.552
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0320.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.021
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.218
GPT teacher head0.468
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations45
Published2022
Admission routes1
Has abstractyes

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