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Record W4389075226 · doi:10.1215/15982661-10773078

Inscriptional Repertoires and the Problem of Intra- versus Interlingual Translation in Traditional Korea

2023· article· en· W4389075226 on OpenAlexaff
Ross King

Bibliographic record

VenueSungkyun Journal of East Asian Studies · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsVernacularLinguisticsLiteratureInscribed figureVariety (cybernetics)HistoryPhilosophyArtComputer scienceMathematics

Abstract

fetched live from OpenAlex

Abstract This article brings together a series of examples demonstrating the wide range of inscriptional practices in premodern Korea and the ways in which they force us to reconsider modern and Eurocentric notions of translation. The premodern inscriptional spectrum in Chosŏn Korea was not a simple binary of cosmopolitan orthodox Literary Sinitic versus vernacular Korean in the form of ŏnhae exegeses but was a range of inscriptional styles that included idu and kugyŏl. The ways in which texts were inscribed, reinscribed, and transliterated between these different inscriptional styles, as well as the ways in which Chosŏn literati themselves understood the notion of yŏk (譯, “translation”) challenge modern-day notions of translation, on the one hand, but also invite an understanding of them as rather more intralingual than interlingual. They also force us to ask whether LS was conceived as a “foreign” language for literate Koreans in Chosŏn. The premodern Korean cases forces us to add script and inscriptional repertoire (including notions of orthography, notational system, munch'e 文體, etc.) to the list of the main factors that influence intralingual translation.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.317
Threshold uncertainty score0.279

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 studies0.0000.001
Scholarly communication0.0000.000
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 head0.177
GPT teacher head0.311
Teacher spread0.134 · 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 designQualitative
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

Citations0
Published2023
Admission routes1
Has abstractyes

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