The protestant missionaries as bible translators : mission and rivalry in China, 1807-1839
Bibliographic record
Abstract
The first generation of Protestant missionaries sent to the China mission, such as Robert Morrison and William Milne, were mostly translators, committing most of their time and energy to language studies, Scripture translation, writing grammar books and compiling dictionaries, as well as printing and distributing bibles and other Christian materials. With little instruction, limited resources, and formidable tasks ahead, these individuals worked under very challenging and at times dangerous conditions, always seeking financial support and recognition from their societies, their denominations and other patrons. These missionaries were much more than literary and linguistic academics – they operated as facilitators of the whole translational process, from research to distribution; they were mission agents in China, representing the interests and visions of their societies and patrons back home. Using rare Chinese Bible manuscripts, including one that has never been examined before, plus a large number of personal correspondence, journals and committee reports, this study seeks to understand the first generation of Protestant missionaries in their own mission settings, to examine the social fabrics within which they operated as “translators”, and to determine what factors and priorities dictated their translation decisions and mission strategies. Although Morrison is often credited with being the first translator of the New Testament into Chinese, the truth of the matter is far more complex. The following study is designed to illustrate both the complexity of the historical process underlying the Protestant translations of the Bible, as well as the complexities attendant upon notions of translation and authorship. Recognizing how these translators interacted with one another and how they made use of their sources, and appreciating their continued struggle for support, recognition and patronage is the key to understanding their translation approaches and decision-making.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.012 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".