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Record W1502446636 · doi:10.7202/014702ar

Nier son nom

2007· article· fr· W1502446636 on OpenAlexaffvenue
Cathérine Mavrikakis

Bibliographic record

VenueVoix et Images · 2007
Typearticle
Languagefr
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

À partir du constat de la double négation et par là du reniement inscrits dans les nom et prénom de Denis Vanier, il s’agit de penser les processus de légitimation du nom et de l’oeuvre. Les livres créent un dispositif tentant de contrer l’abjuration de soi qui traverse le travail poétique de l’écrivain. La légitimation de l’écriture se fait dans la mise en place d’un réseau de noms d’artistes et d’écrivains connus qui vont signer et contresigner l’oeuvre de Vanier dans les préfaces multiples et les citations infinies qui jonchent les différents livres. On assiste aussi à une surenchère de portraits photographiques de Vanier sur les couvertures de ses livres. Ces photos sont là pour faire de la présence physique du poète un rempart contre le reniement de soi. C’est la figure de Judas, celui qui trahit, que Vanier développe tout particulièrement afin de parvenir, à travers un mécanisme infini de négations, à affirmer la souveraineté de sa poésie.

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)0.006
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 score0.097
Threshold uncertainty score0.326

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0050.004
Scholarly communication0.0070.009
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0970.029

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 head0.189
GPT teacher head0.344
Teacher spread0.155 · 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

Citations0
Published2007
Admission routes2
Has abstractyes

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