MétaCan
Menu
Back to cohort
Record W2268538576

The Doctrine of Informed Consent - When Experts and Non-Experts Collide

2006· article· en· W2268538576 on OpenAlexaboutno aff
Paul Tan

Bibliographic record

VenueSSRN Electronic Journal · 2006
Typearticle
Languageen
FieldHealth Professions
TopicMedical Malpractice and Liability Issues
Canadian institutionsnot available
Fundersnot available
KeywordsLaypersonPaternalismAutonomyDoctrineInformed consentAppealPsychologyOrder (exchange)BeneficenceLawSocial psychologyPolitical scienceMedicineAlternative medicineEconomics
DOInot available

Abstract

fetched live from OpenAlex

It will not be long before the Singapore Court of Appeal will have to confront the question it left open in Gunapathy and decide whether it should extend the Bolam principle to negligent advice cases as the House of Lords has done, or whether it should follow the more rigorous standard applied in other jurisdictions such as Canada and Australia. Rather than focus on the narrow and intractable debate about the philosophical values underlying both approaches (patient autonomy versus medical paternalism), this article draws on current behavioural and psychological studies to examine which approach would truly assist a patient in arriving at a rational and informed choice. It is argued that neither model currently employed is satisfactory because they fail to take into account the fact that the patient, as a layperson, and the physician, as an expert, perceive risk differently. Accordingly, it is proposed that the doctrine of informed consent should be structured to emphasize the constitutive nature of risk communication in order to bridge this difference.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.471
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.025
GPT teacher head0.384
Teacher spread0.359 · 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 designNot applicable
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

Citations2
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueSSRN Electronic JournalSame topicMedical Malpractice and Liability IssuesFrench-language works237,207