Translation and translation studies in the Japanese context
Bibliographic record
Abstract
1. A Survey of Translation Research in the Japanese Context, Kayoko Takeda 2. Situating Translation Studies in Japan within a Broader Context, Judy Wakabayashi 3. A Nagasaki Translator of Chinese and the Making of a Literary Genre, Emiko Okayama 4. Translation, Power, Postcoloniality: Fukuzawa Yukichi's Translation of the West, Akiko Uchiyama 5. Translational Norms in the Meiji and Taisho Periods and the Formation of Modern Japanese Literature, Akira Mizuno 6. On Creative Aspects of Translation in Modern and Postwar Japan: Hemingway, Proust and Modern Japanese Novels, Ken Inoue 7. Translating Culture--Ainu Oral Tradition to Japanese, Nana Sato-Rossberg 8. Japanese in Shifting Contexts: Translating Canadian Nikkei Writers into Japanese, Beverley Curran 9. Pre-Translation in Modern Japanese Literature and What It Tells Us About 'World Literature', Irmela Hijiya-Kirschner 10. Transcreating a Japanese Video Game, Minako O'Hagan 11. The Present Situation of and Challenges for Community Interpreting in Japan, Makiko Mizuno Bibliography Index.
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.
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 | 0.000 |
| 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) | 0.001 | 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".