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Record W2749043457 · doi:10.1136/medethics-2017-104253

Disabling disability amid competing ideologies

2017· article· en· W2749043457 on OpenAlexaff
Tom Koch

Bibliographic record

VenueJournal of Medical Ethics · 2017
Typearticle
Languageen
FieldNeuroscience
TopicNeuroethics, Human Enhancement, Biomedical Innovations
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsTranshumanismIndividualismEpistemologySociologyEthosFlourishingIdeologyArgument (complex analysis)Methodological individualismEnvironmental ethicsPsychologyPhilosophyLawPolitical sciencePoliticsSocial psychologyBiology

Abstract

fetched live from OpenAlex

This paper critiques current arguments advancing the potential for transhumanism and a range of biological and pharmacological enhancements to better human flourishing. It does so from a historical perspective weighing the individualistic and competitive evolutionary theories of Darwin with the cooperative and communal theories of Prince Peter Kropotkin a generation later. In doing so it proposes the transhumanist and enhancement enthusiasts operate within a paradigm similar to Darwin's, one that is atomist and individualistic. The critique, which considers the status of those with cognitive, sensory and physical limits, advances a vision of society as a cooperative and communal rather than individualistic and competitive. Within this framework the argument is not one of either/or but on the lexicographical superiority of the communal and social over the individualistic and competitive ethos underlying both Darwin and most contemporary transhumanist literature. This reordering of priorities, it is argued, reflects advances in contemporary biology and evolutionary thinking.

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)0.007
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.001
Science and technology studies0.0050.037
Scholarly communication0.0070.006
Open science0.0010.008
Research integrity0.0070.008
Insufficient payload (model declined to judge)0.0030.000

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 head0.285
GPT teacher head0.478
Teacher spread0.193 · 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 designNot applicable
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

Citations15
Published2017
Admission routes1
Has abstractyes

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