Discourse Strategy Analysis on English Translation of Modern Chinese Essays Based on Framing Theory
Bibliographic record
Abstract
The English translation of modern Chinese essays provides a platform for the world to showcase the Chinese spirit. Therefore, it is necessary to conduct in-depth research on the underlying discourse strategies of the English translation of modern Chinese essays. Based on the framing theory proposed by Lakoff, this study adopts a combination of qualitative and quantitative methods to analyze surface frames and deep frames of the English translation of modern Chinese essays. Analyses show that among a total of 1074 metaphorical words, there exist four main metaphorical surface frames: people frame, nature frame, journey frame and object frame. These surface frames activate four deep frames: the pursuit of personal qualities, nostalgia for hometown and family, criticism of social reality and the struggle for the country. This study provides a new application perspective and promotes future research on the English translation of modern Chinese essays, and could help readers to interpret the main values embodied in Selected Modern Chinese Essays 1, enhancing their understanding and appreciation of these literary works.
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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 | 0.007 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".