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Record W1874022519 · doi:10.21992/t9w61s

The Translator’s Art of Failure: Engaging the Other in Imperfect Harmony

2009· article· en· W1874022519 on OpenAlexvenueno aff
Katherine Silver

Bibliographic record

VenueTranscUlturAl A Journal of Translation and Cultural Studies · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsHarmony (color)UnificationCompromiseRealmSociologyImperfectPower (physics)EpistemologyPoliticsLinguisticsAestheticsPolitical scienceComputer scienceSocial scienceLawPhilosophyArtVisual arts

Abstract

fetched live from OpenAlex

Rather than view translation as a compromise at best, a failure at worst, and always derivative and secondary, I explore the practice of literary translation as one of engagement: with the text, with the Other, and with the world. I will discuss the nature of this engagement as dynamic, electric, life-affirming, an encounter and a dialogue that offers an opportunity for both unification and separateness, freedom and intimacy. From this perspective of the personal, I will reach into the realm of the “political,” the broader context within which translators work—the power differentials, the objective material conditions—and the specifics of my own translating relationship: between Latin American Spanish and North American English. My understanding of that relationship—which could be framed as the theory behind my practice—influences what I want to translate—passionate engagement—and how I translate: how I approach the object of desire. I will read from and discuss several of my most recent translations, texts that in themselves explore questions of language and power: the power of language to subvert, and the dis-harmonious and unequal association of languages and cultures in this “globalized” world, where issues of separateness and unification are often a matter of survival.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.905
Threshold uncertainty score0.561

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.087
GPT teacher head0.309
Teacher spread0.223 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2009
Admission routes1
Has abstractyes

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