Translation of Temporal Dialect in Life and Death Are Wearing Me Out From the Perspectives of Scope and Background
Bibliographic record
Abstract
Temporal dialect is widely adopted in the novel Life and Death Are Wearing Me Out , for the novel involves many great times in China and all sorts of temporal dialects are the reveal of different eras. Therefore, in light of its importance of showing the features of different times, temporal dialect should be attached great significance to the translation studies. This paper aims to study the translation of temporal dialect in Life and Death Are Wearing Me Out from the perspectives of scope and background in Construal theory in order to verify the feasibility of scope and background in explaining the translation of temporal dialect. Based on the scope and background, encyclopedic knowledge can be formed for the purpose of understanding the temporal dialect in the original and producing the same translation version as the cognitive domains evoked in translator’s mind. What is more, suitable translation methods should be employed in the translation process under the guidance of scope and background in order to help target readers understand the theme and features of the original well.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".