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Record W2793168772 · doi:10.1177/1368431017750974

Unfit for the future? The depoliticization of human perfectibility, from the Enlightenment to transhumanism

2018· article· en· W2793168772 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

VenueEuropean Journal of Social Theory · 2018
Typearticle
Languageen
FieldNeuroscience
TopicNeuroethics, Human Enhancement, Biomedical Innovations
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsTranshumanismEnlightenmentHuman enhancementEnvironmental ethicsEmancipationHumanismSociologyDemocracyPoliticsPosthumanHuman rightsEpistemologyPolitical sciencePhilosophyLaw

Abstract

fetched live from OpenAlex

An intellectual and cultural movement advocating a radical enhancement of human performance via technoscientific and biomedical advances, transhumanism has grown in notoriety in recent years. Grouping engineers, philosophers, sociologists, and entrepreneurs, the movement and its ideals of enhanced humans have a strong social resonance, be it doping in sport, the use of smart drugs, or the biomedical battle against aging. This article sheds theoretical and critical light on transhumanism through the lens of human perfectibility. It particularly aims to show how the movement marks a significant reversal of the humanist conception of human perfectibility inherited from the Enlightenment. Far from working for the social and political emancipation of humans and the human condition, transhumanism is emblematic of a depoliticized conception of human perfectibility focused on the technoscientific adaptation of the human being. Transhumanism thus marks a major rupture with the modern democratic project of autonomy.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.168
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.069
GPT teacher head0.342
Teacher spread0.273 · 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