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Record W7023705516

Paging King Solomon: Towards Allowing Parents to Donate Organs of Anencephalic Infants

2009· article· en· W7023705516 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicOrgan Donation and Transplantation
Canadian institutionsnot available
Fundersnot available
KeywordsAnencephalyDonationOrgan donationCrippleAllowance (engineering)BeneficenceMedical care
DOInot available

Abstract

fetched live from OpenAlex

In October of 1987, Canadian doctors artificially sustained the life of an anencephalic infant so that her organs could be transplanted into another child, touching off a fiery debate. At the request of her parents, doctors connected Baby Gabrielle, who was born missing most of her brain, to a respirator before flying her to Loma Linda, California, where her heart was transplanted into the world's youngest recipient of a heart transplant. While Baby Gabrielle's parents insisted that their daughter's organs be used in this manner and were presumably happy with the resulting transplant, one of Baby Gabrielle's doctors expressed qualms about his role in the saga. Almost immediately, a firestorm of debate ignited as parents of unborn children with anencephaly began offering their children's organs for use in similar procedures. Critics quickly began warning of slippery slopes and difficult moral questions. This continuing debate calls into question the medical propriety and the usefulness of current medical definitions of death. It also implicates even more fundamental issues, questioning what is required for a life to be considered fully human and also the nature and extent of respect, both legal and medical, warranted by such a life. This Article attempts to demonstrate that organ donation from anencephalic infants can be both beneficial and morally justifiable. Section I discusses the biological and physical manifestations of anencephaly. Section II introduces the current need for infant organs for transplantation, the possibility that anencephalic organs could address some of that demand, and the basic ethical positions both for and against the allowance of anencephalic organ transplantation. Section III discusses the dead donor rule, the legal obstacle which currently makes anencephalic organ donation legally problematic. Section IV discusses possible legal approaches to permitting organ transplants from anencephalic donors: the abandonment of the dead donor rule would cause too many undesirable consequences; the classification of anencephalic infants as non-persons offends society's general ethical norms and creates slippery slope problems that are in the realm of possibility; however, the classification of anencephalic infants as persons born into a state of death permits anencephalic organ donation without denying anencephalic infants personhood status and opening Pandora's box. Section V lays out legal safeguards necessary to prevent the abuse of an anencephalic organ donation scheme in the event that mankind perfects its ability to intentionally create anencephalic human organ donors. Section VI addresses potential class-related social concerns posed by anencephalic organ donation while arguing that a facially-just transplant policy should not be tainted by independent social problems, such as lack of medical care for the poor. This Article concludes by advocating for the sake of infants in need of organ transplants a properly tailored transplant policy allowing parents of anencephalic infants to donate their children's organs for use in transplants.

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)0.009
metaresearch head score (Gemma)0.025
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.025
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0070.007
Scholarly communication0.0040.003
Open science0.0010.005
Research integrity0.0070.007
Insufficient payload (model declined to judge)0.0030.001

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 head0.017
GPT teacher head0.300
Teacher spread0.283 · 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

Citations0
Published2009
Admission routes1
Has abstractyes

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