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Record W4384561068 · doi:10.7202/1101621ar

Louis Wolfson et la traduction plurilinguistique, ou comment se mettre à l’abri dans l’espace rhizomique

2023· article· fr· W4384561068 on OpenAlexaff
Nicholas Hauck

Bibliographic record

VenueDalhousie French Studies · 2023
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Linguistics and Language Studies
Canadian institutionsBrock University
Fundersnot available
KeywordsSpace (punctuation)LinguisticsPolysemyOrder (exchange)HebrewGermanHatredPhilosophySociologyHumanitiesPolitics

Abstract

fetched live from OpenAlex

Cet article examine la traduction plurilinguistique de Louis Wolfson telle qu’elle est théorisée dans Le Schizo et les langues (1970) et l’expérience de la mise en pratique du système telle que Wolfson la raconte dans Ma mère, musicienne… (1984). Diagnostiqué comme schizophrène, Wolfson cultivait une haine profonde pour l’anglais, sa langue maternelle, et une forte méfiance envers les gens et le monde en général. Afin de se protéger, il apprend le français, le russe, l’allemand et l’hébreu, des langues qu’il utilise par la suite pour traduire son environnement anglophone. À partir des écrits de Caroline Rabourdin, qui démontrent que la logique de l’espace euclidien forme et informe notre identité linguistique – ce qu’elle appelle un bilinguisme incarné –, on arrive à voir que l'espace wolfsonien suit une autre logique, non-binaire, structurée sur la base de ses traductions plurilinguistiques. Pour Deleuze et Guattari, le système de Wolfson suit des lignes de fuite et fonctionne selon une reformulation de l’espace qui ressemble à celui du rhizome: non-hiérarchique et non-signifiant. Ainsi, chez Wolfson, le nomade remplace le flâneur, et les jeux de mots et la polysémie remplacent la signification pour créer un espace sans cesse traduit, le rendant enfin, mais temporairement, habitable.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.534
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.050
GPT teacher head0.320
Teacher spread0.269 · 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
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
Published2023
Admission routes1
Has abstractyes

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