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Record W4237068916 · doi:10.1136/qhc.0100029

Informed consent: moral necessity or illusion?

2001· article· en· W4237068916 on OpenAlexaff
L Doyal

Bibliographic record

VenueBMJ Quality & Safety · 2001
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsRoyal Ottawa Mental Health Centre
Fundersnot available
KeywordsMedicineInformed consentIllusionEpistemologyAlternative medicinePsychologyCognitive psychologyPathologyPhilosophy

Abstract

fetched live from OpenAlex

There is a professional and legal consensus about the clinical duty to obtain informed consent from patients before treating them.This duty is a reflection of wider cultural values about the moral importance of respect for individual autonomy.Recent research has raised practical problems about obtaining informed consent.Some patients have cognitive and emotional problems with understanding clinical information and do not apparently wish to participate in making decisions about their treatment.This paper argues that such research does not undermine their potential to provide informed consent.Rather, suYcient resources are required to create better communication skills among clinicians and more eVective educational materials for patients.Finally, cognitive and emotional inequality among patients is maintained to be a reflection of wider social and economic inequalities.Researchers who take the right to informed consent seriously should also address these.

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)0.189
metaresearch head score (Gemma)0.287
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.189
Threshold uncertainty score0.999

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1890.287
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0060.153
Scholarly communication0.0130.030
Open science0.0040.011
Research integrity0.0270.031
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 head0.410
GPT teacher head0.620
Teacher spread0.210 · 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
GenreCommentary

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

Citations50
Published2001
Admission routes1
Has abstractyes

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