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Record W1995348278 · doi:10.1017/s0963180108080055

Genetic Justice Must Track Genetic Complexity

2007· article· en· W1995348278 on OpenAlexaff
Colin Farrelly

Bibliographic record

VenueCambridge Quarterly of Healthcare Ethics · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics, Bioinformatics, and Biomedical Research
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsEconomic JusticeHeredityNatural (archaeology)PoliticsNatural experimentSociologyTrack (disk drive)PsychologyPolitical scienceLawComputer scienceMedicineBiologyGenetics

Abstract

fetched live from OpenAlex

Many different factors influence our health prospects. The food we consume, the lifestyle we live (e.g., sedentary or active), our economic prospects, our love prospects, our gender, our age, and our education all influence our expected lifetime acquisition of what John Rawls calls the "natural primary goods" (e.g., health, vigor, imagination, and intelligence). Our well-being is also influenced by the natural endowments we inherit from our parents. All people have two copies of most genes, one from their mother and one from their father. Genes are the fundamental physical and functional unit of heredity; they "specify the proteins that form the units of which homoeostatic devices are composed."Earlier versions of this paper were presented to the Department of Philosophy at the University of Waterloo, the James Martin Advanced Research Seminar at Oxford University, and the Department of Politics at Manchester University. I am grateful for the helpful feedback that I received on those occasions.

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)0.015
metaresearch head score (Gemma)0.040
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.015
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.040
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0070.045
Scholarly communication0.0080.013
Open science0.0020.007
Research integrity0.0070.009
Insufficient payload (model declined to judge)0.0110.002

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 head0.074
GPT teacher head0.372
Teacher spread0.299 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreCommentary

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

Citations5
Published2007
Admission routes1
Has abstractyes

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