Digitalized Translation of Chinese Online Literature: Practice and Research
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study thoroughly explores the digitalized translation and overseas dissemination of Chinese online literature from the perspectives of industry practice and academic research. It points out that Chinese online literature has grown from a sub-cultural phenomenon in China to an essential component of contemporary Chinese literature, with digitalized translation being the primary mode for its overseas dissemination. The study defines the concepts of online literature and digitalization, discusses the diversified digitalized translation platforms of Chinese online literature,and analyzes their respective advantages and challenges. Thereafter, it scrutinizes the research on the translation of Chinese online literature, highlighting the richness of research perspectives and the diversity of research content, noting that current researches on the overseas dissemination of Chinese online literature is relatively scarce but holds significant academic and practical value. Finally, it looks forward to the future directions of research on the translation of Chinese online literature, including further exploration on translation content, translation subjects, translation modes, and translation criticism, and emphasizes the importance of theoretical integration and innovation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it