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Record W4283158046 · doi:10.1136/medethics-2022-108204

Parent-initiated posthumous-assisted reproduction revisited in light of the interest in genetic origins

2022· article· en· W4283158046 on OpenAlexaff
Ya’arit Bokek‐Cohen, Vardit Ravitsky

Bibliographic record

VenueJournal of Medical Ethics · 2022
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsContext (archaeology)BioethicsIdentity (music)Sperm donationAnonymityGenealogyCertaintyDonationReproductionSociologyEpistemologyBiologyLawGeneticsHistoryPhilosophyPolitical scienceSpermAesthetics

Abstract

fetched live from OpenAlex

A rich literature in bioethics argues against the use of anonymous gamete donation in the name of the ‘interest in knowing one’s genetic origins’. This interest stems from medical as well as psychosocial and identity reasons. The term ‘genealogical bewilderment’ has been coined to express the predicament of those deprived of access to information about their origins. Another rich body of literature in bioethics discusses arguments for and against posthumous-assisted reproduction (PAR), with a recent focus on PAR that is initiated by the parents of a deceased man (rather than his partner). This paper revisits arguments against PAR, in light of arguments regarding the interest in knowing one’s genetic origins. Limiting the discussion to the specific context of parent-initiated PAR (PIPAR), we argue that the use of cryopreserved sperm from a deceased identifiable man in the context of PIPAR may be ethically preferable when compared with the use of anonymous donor sperm, since it allows genealogical certainty , that is, giving the prospective child access to information about the identity, life story and ancestry of the genetic progenitor as well as genealogical embeddedness , that is, close relationship with extended family members.

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)0.007
metaresearch head score (Gemma)0.022
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.150
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.022
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.006
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 head0.177
GPT teacher head0.410
Teacher spread0.232 · 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.

Study designObservational
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

Citations6
Published2022
Admission routes1
Has abstractyes

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