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Record W7163425544 · doi:10.65961/jts-2011-1_2-001

Unsuspected Introductions in Translated Texts: A Case Study on Wu Zhuoliu’s Orphan of Asia

2011· article· W7163425544 on OpenAlexaff
Jennifer Junwa Lau

Bibliographic record

VenueJournal of Translation Studies · 2011
Typearticle
Language
FieldArts and Humanities
TopicTravel Writing and Literature
Canadian institutionsThe Scarborough Hospital
Fundersnot available
KeywordsOrientalismArgument (complex analysis)Style (visual arts)Asian studiesRelation (database)Representation (politics)Focus (optics)RewritingEast AsiaSouth asia

Abstract

fetched live from OpenAlex

In this article, the author examines the prefacing of the translation of Wu Zhuoliu’s Orphan of Asia in relation to the notion of Orientalism, first exploring the rewriting of prefaces as a type of Orientalism, by studying the differences between the Chinese and English introductory paratexts. The author questions whether scholars can move away from this prefacing system that produces uneven knowledge. Orientalism, as defined by Edward Said (1978a, 3), is “a Western style for dominating, restructuring, and having authority over the Orient.” Said’s argument extends beyond his original focus of the Middle East as Oriental. For scholars of East Asian studies, Orientalism is also a familiar term. In Dru C. Gladney’s (1994, 94) discussion of national representation in China, the term “oriental Orientalism” is coined to address internal Orientalism. This examination of Orphan of Asia demonstrates how preface writing is a powerful producer of knowledge, and the author argues that Orientalist notions are intermingled within the practice of preface writing. Because Orphan of Asia has multiple translations, it has multiple introductions as well. Hence, it is meaningful to examine these texts and the treatment of the original introductions. It is especially noteworthy that the two former Chinese editions of the classic include a translation of the original Japanese preface and a rewritten Chinese preface, while the English edition presents a new foreword. These trilingual paratexts serve as primary texts, which are taken from the Chinese (1977)1 and the English (2006) renditions.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
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 head0.188
GPT teacher head0.336
Teacher spread0.148 · 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 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
Published2011
Admission routes1
Has abstractyes

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