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Record W3045710164 · doi:10.7202/1070540ar

Nietzsche as precursor of postmodern translation studies

2020· article· en· W3045710164 on OpenAlexvenueno aff
Liming Chen

Bibliographic record

VenueMeta Journal des traducteurs · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsPerspectivismPostmodernismPhilosophyEnlightenmentEpistemologyMetaphysicsInterpretation (philosophy)HermeneuticsNegationPostmodern theatreLiteratureLinguisticsArt

Abstract

fetched live from OpenAlex

Friedrich Nietzsche is generally considered the precursor of postmodern philosophy (Erickson 2001: 84), the basis of which are: Antichrist (rejection of all attachment to God) and a call for a re-evaluation of all values, a negation of conventional metaphysics, an insistence on perspectivism, a rejection of Enlightenment rationality and the advocation of will to power . Nietzsche’s postmodern philosophy and his thought on translation play a fundamental role in postmodern translation studies, uncrowning the author as God of the text, liberating the translator, and enlarging the space of multi interpretative signifiers. Meanwhile, his insights have helped extricate translators from ethical questions about their re-creativity, encourage them to develop a translator’s subjectivity and consequently broaden the horizon of translation studies. Such radical thoughts as perspectivism in interpretation, re-evaluation of Christian values, a historical sense of the past, and the conquest of the Ancient, especially by translation, can also be applied to his thoughts on translation (studies), though not so systematic as they are, initiating an inspiring postmodern approach to translation studies, and exerting a lasting and profound influence on his followers like Heidegger, Gadamer, Benjamin, Pound, Derrida, Steiner, Lefevere, Venuti, etc. An elaborative review of Nietzsche’s insightful ideas as such should clarify the genealogy of postmodern translation studies in general.

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 categoriesInsufficient 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: none
Teacher disagreement score0.980
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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.212
GPT teacher head0.326
Teacher spread0.114 · 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

Citations4
Published2020
Admission routes1
Has abstractyes

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