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Record W3042760426 · doi:10.4000/communication.11151

Le métarécit transhumaniste et les fictions technologiques contemporaines

2020· article· fr· W3042760426 on OpenAlexvenueno aff
Julien Cueille

Bibliographic record

VenueCommunication · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicDiverse multidisciplinary academic research
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

L’auteur tente d’éclaircir un paradoxe, celui de la présence de mythes et de fictions dans les sociétés individualistes contemporaines, souvent qualifiées de « désenchantées ». Plus qu’un mythe au sens traditionnel, il s’agirait d’« univers mythique », de muthos. Cependant les énoncés se réclamant du « transhumanisme » ruinent en réalité le schème mythique de la transformation et de la révélation du sujet à lui-même, en court-circuitant l’espace de l’intériorité, dans un déni de la finitude. D’autres fictions, issues de la culture populaire, apparaissent comme des alternatives crédibles à ce pseudo-mythe, et permettent aux sujets de penser leur désarroi.El autor intenta aclarar una paradoja, la de la presencia de mitos y ficciones en las sociedades individualistas contemporáneas, a menudo consideradas como “desencantadas”. Más que un mito en el sentido tradicional del término, se trataría de un “universo mítico”, muthos. Sin embargo, los enunciados se identifican como “transhumanistas” que, en realidad afectan el esquema mítico de la transformación y revelación del sujeto en sí mismo, produciendo un cortocircuito en el espacio interior, con la negación de la finitud. Otras ficciones, surgidas de la cultura popular aparecen como alternativas fiables a este pseudo-mito, permitiendo a los sujetos pensar en su desconcierto.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.922
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.183
GPT teacher head0.400
Teacher spread0.217 · 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.

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

Citations0
Published2020
Admission routes1
Has abstractyes

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