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Record W3017557084 · doi:10.5840/symposium20202415

Answering the Bioethicists’ Objection

2020· article· en· W3017557084 on OpenAlexvenueno aff
Michael Y. Bennett

Bibliographic record

VenueSymposium · 2020
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsPhilosophyDarwinismEpistemologyHumanitiesArgument (complex analysis)Interpretation (philosophy)

Abstract

fetched live from OpenAlex

Bioethicists criticize Jürgen Habermas’s argument against “liberal eugenics” for many reasons. This essay examines one particular critique, according to which Habermas misunderstands the implications of human evolution. In adopting Hannah Arendt’s concept of “natality,” Habermas seems to fear that genetically modified children will lose the contingency of their births, which would impair their capacity for political action; but according to evolutionary theory, bioethicists argue, this fear is unfounded. I explore this objection by entertaining the hypothesis that Habermas’s argument assumes Arendt’s interpretation of Darwinian evolution in addition to her conception of natality, and then I answer it by contrasting the conceptions of evolution held by Habermas, by Arendt, and by Habermas’s critics. Les bioéthiciens critiquent l’argument de Jürgen Habermas contre « l’eugénisme libéral » pour de nombreuses raisons. Cet essai examine une critique en particulier, selon laquelle Habermas comprend mal les implications de l’évolution humaine : en adoptant le concept de la « natalité » de Hannah Arendt, Habermas semble craindre que les enfants soumis à une modification génétique ne perdent la contingence propre à leur naissance, une perte qui diminuerait leur capacité pour l’action politique, mais selon la théorie de l’évolution, les bioéthiciens soutiennent que cette peur est sans fondement. J’explore cette objection à Habermas en considérant l’hypothèse que, en plus du concept de la natalité, Habermas suppose aussi l’interprétation arendtienne de l’évolution biologique de Darwin, et j’y répond en confrontant cette conception de l’évolution avec la conception propre à Habermas et avec celle des bioéthiciens qui lui ont répondu.

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)0.000
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 score0.497
Threshold uncertainty score0.142

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.041
GPT teacher head0.303
Teacher spread0.261 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations0
Published2020
Admission routes1
Has abstractyes

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