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Record W3197296736

A Reappreciation of Cannibal Translation as Critique of Ideology

2019· article· en· W3197296736 on OpenAlexaffabout
Alexandre Dubé-Belzile

Bibliographic record

VenueSSRN Electronic Journal · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsUniversité du Québec en Outaouais
Fundersnot available
KeywordsIdeologyHegemonyCultural hegemonyFantasySociologyPoliticsCriticismEpistemologyField (mathematics)Meaning (existential)AestheticsLiteraturePhilosophyLawPolitical scienceArt
DOInot available

Abstract

fetched live from OpenAlex

Cultural hegemony has been widely discussed within the field of Translation Studies. However, few scholars proposed a method of political action to erase the thumbprint of hegemony found in many translated works. In my opinion, the concept of “cannibal translation” developed by Haroldo de Campos is an exception (De Campos & Wolff, 1986). This form of translation is a way to regain control over the meaning of existing discourses and of the systems of representations that govern our daily lives. This paper will rely on a strong theoretical background, in order to argue for the realization of a form of militancy within the boundaries of the systems of representations of language itself, in order to stop seeing the world with the “imperial eyes” (Mary Snell-Hornby, 2006) of cultural hegemony, namely of English tongue and culture in Canada and its industries in Colombia. Finally, I will approach militant translation as a method of “ideological criticism,” as understood by Slavoj Žižek. who defines ideology as a “unconscious fantasy that structures social reality” (Garcia & Sanchez, 2008).

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)0.019
metaresearch head score (Gemma)0.018
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 score0.019
Threshold uncertainty score0.102

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.018
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0080.113
Scholarly communication0.0140.012
Open science0.0010.007
Research integrity0.0060.012
Insufficient payload (model declined to judge)0.0020.001

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 head0.017
GPT teacher head0.272
Teacher spread0.255 · 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
Published2019
Admission routes2
Has abstractyes

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