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Record W2165257998 · doi:10.1186/1472-6939-4-3

Human cloning laws, human dignity and the poverty of the policy making dialogue

2003· article· en· W2165257998 on OpenAlexafffund
Timothy Caulfield

Bibliographic record

VenueBMC Medical Ethics · 2003
Typearticle
Languageen
FieldNeuroscience
TopicNeuroethics, Human Enhancement, Biomedical Innovations
Canadian institutionsUniversity of Alberta
FundersGenome PrairieAlberta Heritage Foundation for Medical ResearchStem Cell Network
KeywordsPhilosophy of medicineDignityHuman cloningPovertyPolitical scienceLawMedical lawCloning (programming)Political philosophyEnvironmental ethicsSocial policySociologyLaw and economicsSocial sciencePhilosophyComputer scienceMedicinePolitics

Abstract

fetched live from OpenAlex

BACKGROUND: The regulation of human cloning continues to be a significant national and international policy issue. Despite years of intense academic and public debate, there is little clarity as to the philosophical foundations for many of the emerging policy choices. The notion of "human dignity" is commonly used to justify cloning laws. The basis for this justification is that reproductive human cloning necessarily infringes notions of human dignity. DISCUSSION: The author critiques one of the most commonly used ethical justifications for cloning laws - the idea that reproductive cloning necessarily infringes notions of human dignity. He points out that there is, in fact, little consensus on point and that the counter arguments are rarely reflected in formal policy. Rarely do domestic or international instruments provide an operational definition of human dignity and there is rarely an explanation of how, exactly, dignity is infringed in the context reproductive cloning. SUMMARY: It is the author's position that the lack of thoughtful analysis of the role of human dignity hurts the broader public debate about reproductive cloning, trivializes the value of human dignity as a normative principle and makes it nearly impossible to critique the actual justifications behind many of the proposed policies.

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)0.005
metaresearch head score (Gemma)0.169
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesScience and technology studies
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 score0.197
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.169
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.007
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.003
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 head0.146
GPT teacher head0.412
Teacher spread0.265 · 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; both teacher heads agree on what is shown here.

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

Citations27
Published2003
Admission routes2
Has abstractyes

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