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ANOTHER LOOK AT THE PRESUMED‐VERSUS‐INFORMED CONSENT DICHOTOMY IN POSTMORTEM ORGAN PROCUREMENT

2006· article· en· W1963510763 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBioethics · 2006
Typearticle
Languageen
FieldMedicine
TopicPatient Dignity and Privacy
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsOrgan donationAssertionInformed consentDefault ruleBioethicsOrgan procurementPsychologyActuarial scienceLawMedicineBusinessTransplantationPolitical scienceSurgeryComputer scienceAlternative medicine

Abstract

fetched live from OpenAlex

ABSTRACT In this paper I problematise quite a simple assertion: that the two major frameworks used in assessing consent to post‐mortem organ donation, presumed consent and informed consent, are procedurally similar in that both are ‘default rules.’ Because of their procedural common characteristic, both rules do exclude marginalized groups from consent schemes. Yet this connection is often overlooked. Contract theory on default rules, better than bioethical arguments, can assist in choosing between these two rules. Applying contract theory to the question of post‐mortem organ donation suggests that the default rule should be one that goes against the wishes of the stronger party in consent decisions.

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.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.580
Threshold uncertainty score0.401

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 head0.170
GPT teacher head0.372
Teacher spread0.202 · 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