Three-Dimensional Transformation in the English Translation of China’s Foreign Ministry Spokespersons’ Conflictive Responses
Bibliographic record
Abstract
This study investigates the translation of conflictive responses in Chinese diplomatic discourse into English. Utilizing the three-dimensional transformation framework of eco-translatology, encompassing linguistic, cultural, and communicative dimensions, the research identifies strategies and challenges in achieving semantic equivalence, cultural appropriateness, and communicative effectiveness. The study employs a qualitative approach, combining descriptive translation studies and content analysis. The corpus is sourced from the official website of China’s Foreign Ministry’s press conferences in 2020 delivered by the spokesperson Zhao Lijian. Findings reveal that idiomatic expressions and neologisms with negative connotations characterize conflictive responses and present significant translation challenges. The three-dimensional transformations are not always fully realized, particularly in neologisms lacking direct equivalents in the target language. Adaptation and description are frequently adopted, and the literal translation is not often applicable when dealing with culturally-rendered expressions. This study underscores the importance of a translator-centered approach that highlights the critical role of translation in shaping diplomatic discourse.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".