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Record W2461609264 · doi:10.4000/itineraires.3124

Étant donnée : une fable poétique sur le régime de notre identité numérique

2016· article· fr· W2461609264 on OpenAlexaff
Cécile Portier

Bibliographic record

VenueItinéraires · 2016
Typearticle
Languagefr
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsCegep de Trois-Rivieres
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Étant donnée est une fiction web inspirée de l’œuvre célèbre de Marcel Duchamp, Étant donnés. Une femme est retrouvée, amnésique : elle ne se connaît plus. Par les données, on peut l’identifier, tout retrouver. Dans cet article, Cécile Portier, initiatrice de cette fiction à laquelle elle a convié d’autres auteurs et artistes, en propose une visite guidée. Les différentes « pièces » du site web sont les étapes successives d’une enquête angoissante, où l’on comprend que l’identité semble ne plus avoir besoin de s’étayer sur une intériorité. Tout est donné, tout est transparent. Mais quelque chose est à déjouer de ce nouveau régime d’existence où les données écrivent à notre place, et la littérature peut y jouer son rôle.

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), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.447
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
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0020.005
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.123
GPT teacher head0.274
Teacher spread0.151 · 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 designTheoretical or conceptual
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

Citations1
Published2016
Admission routes1
Has abstractyes

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