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Record W4403900773 · doi:10.1017/pls.2024.12

Moral equality and reprogenetic autonomy in the genomic era

2024· article· en· W4403900773 on OpenAlexaff
Ozan Gurcan

Bibliographic record

VenuePolitics and the Life Sciences · 2024
Typearticle
Languageen
FieldNeuroscience
TopicNeuroethics, Human Enhancement, Biomedical Innovations
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsDignityAutonomyArgument (complex analysis)BioethicsEnvironmental ethicsHuman rightsDeclarationSociologyHuman enhancementLawLaw and economicsPolitical scienceEpistemologyMedicinePhilosophy

Abstract

fetched live from OpenAlex

In this paper, I question the argument from human dignity found in the Universal Declaration on the Human Genome and Human Rights (UDHGHR) and in the recent views of the International Bioethics Committee (IBC). I focus on what this argument says about the permissibility of two broad categories of reprogenetic choices that may be available to prospective parents in the genomic era. The argument from human dignity holds that non-medical genetic selection and somatic enhancements ought to be prohibited because they violate the principle of human dignity. I argue that human dignity need not be violated by the enterprise of human genetic selection/somatic enhancement if reasonable social safeguards are established. In particular, I argue that respecting the reprogenetic choices of the decision-maker is paramount within the boundaries of (i) prohibiting the infliction of a shortened lifespan or pain upon the child; (ii) prohibiting the actualization of demeaning beliefs or intentions such as viewing certain groups as inferior; (iii) prohibiting the choice resulting from an expression of unwillingness to love and care for the child; and, with respect to somatic gene enhancements in particular, (iv) the potentially unjustified effects of the enhancement on others, if any, are reasonably addressable (and addressed) via social modifications so as to ensure the enhancement no longer risks adversely affecting them. With these limits, reprogenetic autonomy cannot be said to undermine the dignity of humans by creating unjustified harms or expressing demeaning ideas.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.047
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.004
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 head0.143
GPT teacher head0.368
Teacher spread0.225 · 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 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

Citations1
Published2024
Admission routes1
Has abstractyes

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