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Record W4214812821 · doi:10.3138/cras-2021-015

Être dansés. Technomagie, culture électronique et socialité après l’humanisme

2022· article· fr· W4214812821 on OpenAlexvenueno aff
Vincenzo Susca

Bibliographic record

VenueCanadian Review of American Studies · 2022
Typearticle
Languagefr
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Les relations issues des paysages médiatiques contemporains, dont la danse techno née à Detroit dans les années 80 est une expression tant emblématique que radicale, révèlent de la part du corps social une capacité à associer ce qui est séparé dans le temps et l’espace qui appartenait jusqu’alors aux ordres spirituels et transcendants. Cet imaginaire modifie le rapport moderne entre technique et société selon un paradigme qui pourrait être nommé « technomagie ». « technomagique ». Les communions aux nuances païennes célébrées par les nouveaux rites des médias en ligne et dans le cadre des scènes technos alimentent une forme de croyance fondée sur le partage d’un secret, d’un ordre émotionnel et d’un style de vie communautaire, ou basé sur le commun, dans le cadre d’une joie tragique où l’individu, enveloppé dans une matrice technosociétale, se perd dans quelque chose de plus grand que soi. Il y a là les premières ébauches d’une nouvelle chair aux allures posthumaines, explorée dans cet article au prisme de la sociologie de l’imaginaire et des sciences de la communication.

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)0.002
metaresearch head score (Gemma)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.016
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.018
Scholarly communication0.0100.006
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0160.001

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 head0.196
GPT teacher head0.353
Teacher spread0.157 · 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
GenreOther

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

Citations2
Published2022
Admission routes1
Has abstractyes

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Same venueCanadian Review of American StudiesSame topicCultural Insights and Digital ImpactsFrench-language works237,207