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Record W4206863515 · doi:10.7202/1089332ar

Du fétichisme des sémiomarchandises « parlantes » à l’asservissement machinique : le cas des assistants personnels intelligents

2022· article· fr· W4206863515 on OpenAlexvenueno aff
Fabien Richert

Bibliographic record

VenueCygne noir · 2022
Typearticle
Languagefr
FieldArts and Humanities
TopicFrench Historical and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Cet article propose une analyse critique d’une version particulière de l’intelligence artificielle, à savoir les « assistants personnels intelligents ». L’argumentaire s’inscrit dans les travaux récents portant sur le sémiocapitalisme dont la perspective propose des clés de lecture, inspirées notamment par les écrits de Félix Guattari et de Gilles Deleuze, pour aborder les modes de subjectivation dans le capitalisme tardif dominé par les technologies de l’information et de la communication. Les assistants intelligents seront questionnés du point de vue du régime de vérité et des relations singulières qu’ils instaurent avec leurs propriétaires invités à participer avec enthousiasme à l’idéologie consumériste ambiante. Les assistants intelligents seront notamment thématisés comme des sémiomarchandises capables de suggérer des objets, services et expériences sur la base d’un historique « dividuel », du travail aliéné et invisibilisé d’une masse croissante d’info-travailleurs ou plus largement d’un asservissement machinique.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.787
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0070.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.000

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 head0.061
GPT teacher head0.245
Teacher spread0.184 · 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
Published2022
Admission routes1
Has abstractyes

Explore more

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