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Record W7020462083

The Law on Minors’ Consent and Refusal of Medical Treatment: A Critique and Proposals for Reform

2023· dissertation· en· W7020462083 on OpenAlexaboutno aff

Bibliographic record

VenueUEA Digital Repository (University of East Anglia) · 2023
Typedissertation
Languageen
FieldMedicine
TopicEthics and Legal Issues in Pediatric Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsMinor (academic)Supreme courtAutonomySection (typography)Order (exchange)WelfareCommon lawMedical treatmentHuman rightsGovernment (linguistics)Medical decision making
DOInot available

Abstract

fetched live from OpenAlex

Under English law, it is conventional wisdom that no minor has an absolute right to autonomous medical decision-making and that even if the minor is Gillick competent or, having reached the age of 16, comes within the purview of section 8(1) of the Family Law Reform Act 1969 (and the Mental Capacity Act 2005), the court, in the exercise of its inherent or wardship jurisdiction, can in cases where the consequences of the minors’ decision are likely to put their health or life at risk, overrule the minors’ decision, and direct that the minor should undergo the recommended procedure(s). This thesis is primarily concerned with whether the decision of the court to overrule a minor’s refusal of medical treatment is in all the circumstances justified. This thesis argues that the balancing of the theoretical models of autonomy and protectionism is decisive in determining whether a minor’s treatment refusal is respected. In this regard, and considering recent developments in the law domestically and internationally, such as the increased prominence of human rights and the importance of the decision of the Supreme Court of Canada in AC v Manitoba, this thesis establishes a framework based on factors relevant in the medical refusal case law in order to objectively analyse whether the courts, in their welfare assessment, consistently identify the factors that are important in the individual case, gives them each proper weight, robustly balances those factors out, and makes a decision that is best for the individual at the heart of the decision. Thus, this thesis critiques the current legal landscape on minors’ medical decision-making and proposes recommendations for how the law should balance the interests of autonomy and protectionism.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.503
Threshold uncertainty score0.531

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.035
GPT teacher head0.337
Teacher spread0.302 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations0
Published2023
Admission routes1
Has abstractyes

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