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Record W2896868637 · doi:10.3917/lhs.207.0117

Corps et âme

2018· article· fr· W2896868637 on OpenAlexaff
Nicolas Le Dévédec

Bibliographic record

VenueL Homme et la société · 2018
Typearticle
Languagefr
FieldNeuroscience
TopicNeuroethics, Human Enhancement, Biomedical Innovations
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Le transhumanisme et l’idéologie de l’humain augmenté qu’il promeut ne représenteraient-ils pas le nouvel horizon productif des sociétés capitalistes contemporaines ? Avec pour ambition d’améliorer les performances humaines par le recours à la biomédecine, l’idéologie transhumaniste s’inscrit de fait parfaitement dans la logique productiviste du capitalisme en même temps qu’elle en radicalise considérablement la portée. Le discours transhumaniste ouvre à l’extension et l'immixtion de la rationalité néolibérale jusque dans l’intimité la plus charnelle des individus. Instillant de nouvelles pressions à la performance et une internalisation individuelle plus grande de ces exigences, la biopolitique de l’humain augmenté ouvre dans les milieux de travail à des formes d’exploitation inédites des corps et des subjectivités. Derrière le masque high tech de l’humain augmenté, plus intelligent, plus fort et plus heureux, cet article vise ainsi à montrer que c’est bien plutôt la vieille figure productiviste de l’Homme-machine qui se fait une nouvelle fois jour.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.777
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.004
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0050.004

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 head0.090
GPT teacher head0.416
Teacher spread0.327 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations5
Published2018
Admission routes1
Has abstractyes

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