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Record W2029226457 · doi:10.1353/ken.0.0273

The HFEA Public Consultation Process on Hybrids and Chimeras: Informed, Effective, and Meaningful?

2009· article· en· W2029226457 on OpenAlexaff
Françoise Βaylis

Bibliographic record

VenueKennedy Institute of Ethics journal · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPluripotent Stem Cells Research
Canadian institutionsDalhousie University
Fundersnot available
KeywordsScrutinyPublic consultationPolitical scienceLawProcess (computing)

Abstract

fetched live from OpenAlex

In September 2007, the Human Fertilisation and Embryology Authority (HFEA) in the United Kingdom concluded that "there is no fundamental reason to prevent cytoplasmic hybrid research ... this area of research can, with caution and careful scrutiny, be permitted." Later, in January 2008, HFEA issued two research licenses to create humanesque cytoplasmic hybrid embryos from which stem cells could be derived. This article critically examines the public consultation process that preceded these decisions, concluding that the process was flawed and demonstrating how the HFEA documents summarizing the findings of the public consultation process misrepresent the public's contributions to this policymaking initiative.

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)0.252
metaresearch head score (Gemma)0.292
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.252
Threshold uncertainty score0.922

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2520.292
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0280.042
Scholarly communication0.0240.019
Open science0.0040.022
Research integrity0.0430.043
Insufficient payload (model declined to judge)0.0050.002

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 head0.025
GPT teacher head0.333
Teacher spread0.308 · 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.

Study designQualitative
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

Citations12
Published2009
Admission routes1
Has abstractyes

Explore more

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