Meeting the New Anne Shirley: Matsumoto Yūko’s Intimate Translation of Anne of Green Gables
Bibliographic record
Abstract
Akage no An, the Japanese translation of L.M. Montgomery’s Anne of Green Gables (1908), has enjoyed continued popularity in Japan since the translation was first published in 1952. This paper examines one of the many translations that have been published since then, Matsumoto Yūko’s Akage no An, published in 1993. Unlike previous translations, which generally targeted child readers, Matsumoto translated the book for adult readers. The notable difference in Matsumoto’s translation is her detailed endnotes explaining literary allusions and cultural references. This paper examines how Matsumoto translated Anne of Green Gables, with a particular focus on her relationship with the text. This relationship is viewed through the lens of feminist literary criticism, which, Matsumoto explains, relates to her approach to translation. Her translation is also discussed through the idea of girls’ intimate reading. While Matsumoto describes her approach as aligned with feminist literary studies, this paper argues that the success of her translation is also underpinned by her practice of “girls’ intimate reading.” Feminist literary studies and girls’ intimate reading are shown to be interconnected in Matsumoto’s work.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".