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Record W2115809010 · doi:10.1136/medethics-2014-102319

Infant male circumcision and the autonomy of the child: two ethical questions

2015· review· en· W2115809010 on OpenAlexaff
Akim McMath

Bibliographic record

VenueJournal of Medical Ethics · 2015
Typereview
Languageen
FieldMedicine
TopicEthics and Legal Issues in Pediatric Healthcare
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsAutonomyBest interestsNothingPsychologyClinical EthicsSocial psychologyMale circumcisionMedicineLawPolitical scienceEpistemologyPopulation

Abstract

fetched live from OpenAlex

Routine neonatal circumcision--the non-therapeutic circumcision of infant males--has generated considerable ethical controversy. In this article, I suggest that much of the disagreement results from conflicting ideas about the autonomy of the child. I examine two questions about autonomy. First, I ask whether we should be realists or idealists about the future autonomous choices of the child-that is, whether we should account for the fact that the child may not make the best choices in future, or whether we should assume that his future choices will reflect his best interests. Second, I ask whether the child has a right to autonomy with respect to circumcision, an interest in autonomy or neither--that is, whether respect for autonomy overrides considerations of interests, whether it counts as one interest among many or whether it counts for nothing. In response to the first question, I argue that we should be idealists when evaluating the child's own interests, but realists when evaluating public health justifications for circumcision. In response to the second question, I argue that the child has an interest in deciding whether or not to be circumcised, insofar as the decision is more likely to reflect his actual interests and his own values. Finally, I show how these findings may help to resolve some particular disputes over the ethics of infant male circumcision.

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)0.049
metaresearch head score (Gemma)0.067
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesMetaresearch, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.934
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0490.067
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0050.049
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 head0.113
GPT teacher head0.504
Teacher spread0.391 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations16
Published2015
Admission routes1
Has abstractyes

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