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Record W1993240151 · doi:10.1086/521749

The Chimera of Liberal Individualism: How Cells Became Selves in Human Clinical Genetics

2007· article· en· W1993240151 on OpenAlex

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

VenueOsiris · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPluripotent Stem Cells Research
Canadian institutionsYork University
Fundersnot available
KeywordsIndividualismChimera (genetics)BiologyPoliticsPopulationSociologySubject (documents)EpistemologyEnvironmental ethicsGeneticsPolitical scienceLawPhilosophyGene

Abstract

fetched live from OpenAlex

Using Ian Hacking's notion of "making up people", this paper argues that human chimeras--people who contain more than one genetically distinct cell population--have been made up. As with multiple personality, the discourse surrounding the phenomenon of chimerism offers a novel vantage point for examining the socio-political processes of subject formation. Evidence from archives, interviews with cell scientists, and popular sources will show that, in a strange leap that has come to seem self-evident, journalists, laypeople, and even scientists have come to equate genomes with selves and hence conclude that chimeras are more than one person. Thus far, the challenge that chimeras pose to the simple alignment of genome-body-person has been limited both by relegating chimeras to freak show status and by liberal institutions' demands that individuals be singular.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score0.402

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.029
GPT teacher head0.344
Teacher spread0.315 · 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