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Record W2092623743 · doi:10.1076/jmep.27.3.319.2984

Human Cloning: Three Mistakes and an Alternative

2002· article· en· W2092623743 on OpenAlex
Fran�oise Baylis

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Journal of Medicine and Philosophy A Forum for Bioethics and Philosophy of Medicine · 2002
Typearticle
Languageen
FieldMedicine
TopicReproductive Biology and Fertility
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMistakeFraming (construction)Human cloningCloning (programming)Environmental ethicsEngineering ethicsHuman enhancementEpistemologyPolitical scienceSociologyRisk analysis (engineering)Law and economicsComputer scienceBusinessLawEngineeringPhilosophy

Abstract

fetched live from OpenAlex

The current debate on the ethics of cloning humans is both uninspired and uninspiring. In large measure this is because of mistakes that permeate the discourse, including the mistake of thinking that cloning technology is strictly a reproductive technology when it is used to create whole beings. As a result, the challenge this technology represents regarding our understanding of ourselves and the species to which we belong typically is inappropriately downplayed or exaggerated. This has meant that important (albeit disquieting) societal issues and species-type concerns have not been fully explored. This paper, intended as a corrective, suggests that we take an alternate view of human cloning as both an enhancement and a reproductive technology. This proposed shift in the framework for analysis counters the current narrow framing of the issues and introduces new questions about the prospect of modifying the species.

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.

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)0.003
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: none
Teacher disagreement score0.643
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.010
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 head0.199
GPT teacher head0.380
Teacher spread0.181 · 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