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Record W3127592624 · doi:10.5539/jpl.v13n4p88

The Scope of Donor-Conceived Person’s Right to Access Information about the Gamete Donor in Europe – A Comparative Review

2020· review· en· W3127592624 on OpenAlexvenueno aff
Rafał Łukasiewicz

Bibliographic record

VenueJournal of Politics and Law · 2020
Typereview
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsDonationScope (computer science)Political scienceGameteSperm donationPublic relationsLaw and economicsGynecologyLawSociologyMedicineBiologyComputer scienceGenetics

Abstract

fetched live from OpenAlex

Legal regulations concerning infertility treatment differ among European jurisdictions. Broadly speaking, three types of gamete donation are distinguished – anonymous donation, identifiable donation, and known donation. However, using only these terms during a debate on international standard of gamete donation is a significant simplification. Even in those jurisdictions in which the same model of gamete donation occurs, the scope of information about a donor that is accessible for a child differs. Moreover, in some jurisdictions, the law permits donors and recipients to choose between two or more types of gamete donation. This paper therefore analyses the extent to which the donor’s data is accessible to a donor-conceived person within these different regimes. It argues that a balanced international standard for data exchange concerning gamete donation could be acceptable for all European countries. This paper concludes that it would be a positive first step to harmonise legal framework of gamete donation in Europe to reach a position that would be acceptable for countries in which donor’s anonymity is protected, as well as in countries in which the donor’s identity is always open for a donor conceived-person.

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)0.001
metaresearch head score (Gemma)0.001
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: Review · Consensus signal: Review
Teacher disagreement score0.945
Threshold uncertainty score0.325

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.112
GPT teacher head0.414
Teacher spread0.302 · 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
GenreReview

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

Citations3
Published2020
Admission routes1
Has abstractyes

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