Translation Studies on Xi Jinping: The Governance of China—A Systematic Literature Review
Bibliographic record
Abstract
This paper conducted a systematic literature review of the previous studies within China and other countries within the period from October 2014 to July 2023 with the purpose of investigating the research foci on the English translation of Xi Jinping: The Governance of China. This study revealed that scholars in Chinese Mainland mainly focused on three fields: research on translation strategies of political documents, cultural translation in foreign publicity translation, the external dissemination of political documents and the construction of national image. Besides, an emerging field with discourse analysis-related theories to explore discourse theory paradigms, evaluate discourse quality, and conduct corpus analysis of discourse has provided multivariant academic thinking in translation studies. Compared with Chinese scholars’ studies, there was minimal discussion about the foreign scholars’ exploration of the translation strategies and methods or other translation-related topics, which implied the urgent need of mutual academic communication between Chinese scholars and the foreign academic circles to promote the further development of Chinese political document translation studies.
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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 | 0.012 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.022 | 0.028 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| 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".