An Analysis of the Difficulties in the Translation of Regional Classical Chinese Poetry-A Case Study on Chongqing's Overseas Transmission
Bibliographic record
Abstract
With the deepening of the cultural exchange in the world, the unified orientation of Chinese literature is struggling in the cross-cultural communication. However, Chinese regional traditional culture has yet attracted more and more attention in foreign academic circles. As one of the local historical and cultural communication media, the translation of regional ancient Chinese poetry has become an urgent problem to solve. This kind of translation has a great significance in the increase of the influence of classical Chinese literature in global contexts. What’s more, it plays an important role in making new breakthroughs in regional research and promoting differentiation of academic studies on overseas dissemination of Chinese literary heritage. Taking Chongqing classical poetry as a case, this paper focused on the using of noun, the organizing of meaning and the expressing of allusions to interpret some difficulties in the translation of regional ancient Chinese poems, so that it can provide references for those who study the overseas communication in global contexts of regional classical Chinese literature.
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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 | 0.010 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.010 | 0.007 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".