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Record W2886754549 · doi:10.1111/bioe.12491

Parents’ posthumous use of daughter’s ovarian tissue: Ethical dimensions

2018· article· en· W2886754549 on OpenAlexaff
Aliya Affdal, Vardit Ravitsky

Bibliographic record

VenueBioethics · 2018
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsUniversité de MontréalAlethia Biotherapeutics (Canada)
Fundersnot available
KeywordsGirlDaughterFertilityOvarian tissueFertility preservationLaparoscopyMedicineBioethicsPsychologyGeneral surgeryDevelopmental psychologyOvaryLawPolitical sciencePopulationInternal medicine

Abstract

fetched live from OpenAlex

In recent years, progress in cancer treatment has greatly increased the chances of recovery. Yet, treatment may have irreversible effects on patients' fertility. In order to protect future fertility, preservation of ovarian tissue may be offered today even to very young girls, involving a surgical procedure that may be performed by minimally invasive laparoscopy, under general anesthesia. However, in the tragic event of a girl's death, questions may arise regarding the possible use of the preserved ovarian tissue by her parents. Should posthumous reproductive use of ovarian tissue without the girl's prior consent (due to her young age) be considered a violation of her rights? On the other hand, can it be argued that it is in the interest of a child who died young to leave a genetic trace through posthumous reproduction, because genetic continuity is in the interest of every human being? After presenting the relevant clinical facts, we explore the ethical dimensions of this possible practice through an analysis of the interests of the deceased, her parents, and the child that may be born posthumously.

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)0.016
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.015
Scholarly communication0.0030.003
Open science0.0000.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.194
GPT teacher head0.421
Teacher spread0.226 · 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

Citations15
Published2018
Admission routes1
Has abstractyes

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