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Record W1499968372 · doi:10.1163/18748945-02701004

James Curtis Hepburn and the Translation of the New Testament into Japanese

2014· article· en· W1499968372 on OpenAlexaff
Hamish Ion

Bibliographic record

VenueSocial Sciences and Missions · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicChinese history and philosophy
Canadian institutionsRoyal Military College of Canada
Fundersnot available
KeywordsChinaTransliterationChristianityOld TestamentHistoryNew TestamentLiteratureTheologyClassicsPhilosophyArtLinguistics

Abstract

fetched live from OpenAlex

This study focuses on the role of James Curtis Hepburn (1815–1911), the pioneer Presbyterian missionary doctor in Japan and a lexicographer who gave his name to the standard form of transliteration of Japanese into English, in the translation of the New Testament into Japanese. Hepburn’s earlier experiences as a medical missionary in China had a significant impact on his attitude toward language study and translation work after his arrival in Kanagawa in 1859. This study shows the importance of the Chinese language Christian tracts, and Bible translations made by China missionaries in serving as a cultural bridge to help open and to expedite the transmission of Christian and Western ideas into Japan as Hepburn and his missionary colleagues struggled to master the Japanese language and to translate the Gospels. However, after 1873 when the open propagation of Christianity among the Japanese began, the greater fluency of missionaries in Japanese and the growing desire of the Japanese to learn English and to concentrate on Western rather than Chinese learning led to the decline in the importance of Chinese language both in the evangelization of Japan and in Bible 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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.459
Threshold uncertainty score0.998

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 studies0.0030.002
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 head0.034
GPT teacher head0.317
Teacher spread0.283 · 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 designTheoretical or conceptual
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
Published2014
Admission routes1
Has abstractyes

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