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Record W2155548908 · doi:10.7202/004591ar

Translation in China: A Motivating Force

2002· article· fr· W2155548908 on OpenAlexvenueno aff
Shouyi Fan

Bibliographic record

VenueMeta Journal des traducteurs · 2002
Typearticle
Languagefr
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Au cours de ses 5000 ans d'histoire, la Chine a connu quatre différentes vagues d'activité traductionnelle. La première a commencé avec la traduction des classiques bouddhistes par des moines d'Inde et d'Asie centrale et par des moines chinois à l'aise tant avec ces doctrines qu'avec le sanscrit. La traduction des écrits bouddhiques s'étale sur plus de 1000 ans (à partir de la fin de la dynastie Han) et a laissé des traces indélébiles sur la religion, la philosophie et la vie sociale en Chine. La deuxième vague de traduction débute à la fin de la dynastie Ming (fin du xvie siècle) quand les missionnaires jésuites arrivèrent de l'Occident pour prêcher le catholicisme et enseigner la science et la technologie. La signature imposée du traité de Nanking marque le début de la troisième vague qui se caractérise par la traduction d'ouvrages de sciences sociales, de science militaire et de littérature. Enfin, la dernière vague commence à la fin des années 1950, elle est interrompue par la révolution culturelle et reprend à la fin des années 1970. Dans un certain sens, la traduction a donné au pays une impulsion vers le progrès.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.981
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.000

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 head0.110
GPT teacher head0.278
Teacher spread0.168 · 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
GenreReview

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

Citations8
Published2002
Admission routes1
Has abstractyes

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