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Record W2802059113 · doi:10.1111/bioe.12441

Educational pelvic exams on anesthetized women: Why consent matters

2018· article· en· W2802059113 on OpenAlexaff
Phoebe Friesen

Bibliographic record

VenueBioethics · 2018
Typearticle
Languageen
FieldHealth Professions
TopicPatient-Provider Communication in Healthcare
Canadian institutionsMcGill University
Fundersnot available
KeywordsAutonomyArgument (complex analysis)Informed consentLawParental consentPsychologyMedicinePolitical scienceAlternative medicine

Abstract

fetched live from OpenAlex

It is argued here that the practice of medical students performing pelvic exams on women who are under anesthetic and have not consented is immoral and indefensible. This argument begins by laying out the ethical justification for the practice of informed consent, which can be found in autonomy and basic rights. Foregoing the process of consent within medicine can result in violations of both autonomy and basic rights, as well as trust, forming the basis of the wrong of unauthorized pelvic examinations. Several objections to this argument are considered, all of which stem from the idea that this practice constitutes an exception to the general requirement of informed consent. These objections suggest that nonconsensual pelvic examinations on women under anesthetic are ethically acceptable on utilitarian grounds, in that they offer benefits either to the patient or to society, or on the grounds of triviality, in that consent is already presumed, or the practice is insignificant. Each of these objections is rejected and the practice is deemed indefensible.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.080
metaresearch head score (Gemma)0.165
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.080
Threshold uncertainty score0.421

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0800.165
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.035
Scholarly communication0.0070.011
Open science0.0020.006
Research integrity0.0220.019
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.415
GPT teacher head0.490
Teacher spread0.075 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations63
Published2018
Admission routes1
Has abstractyes

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