Bibliographic record
Abstract
How would a taboo topic in history be understood and recounted by a younger generation who had not witnessed it? Li Zishu’s The Age of Goodbyes revisits the aftermath of Malaysia’s unfortunate May 13 racial riots in an oblique, metafictional plot. In multiple story frames in The Age of Goodbyes , a reader, “you” scrutinizes the book titled The Age of Goodbyes . This reader, a youngster staying at a motel named the “Mayflower,” was asked to look for “father.” Once a forbidden subject, the task was given on Mother’s deathbed. The story within a story revolves around Du Li An, the female protagonist in “the book,” whose destiny was irrevocably changed when attacked by a man who ran amok at the counter of a cinema where she worked during the tragic May 13 incident. This study breaks new ground by exploring the metafictionality of the novel in translation. Tracing the novel’s metanarrative using Robert Escarpit’s (1971, Sociology of Literature (2nd Ed.) (E. Pick, Trans.). London: Frank Cass and Co. Ltd.) and Tianzhen Xie’s (2017, “Medio-translatology: New Perspectives on Comparative Literature and Translation Studies.” Comparative Literature: East & West , 1(1): 125–33. DOI: 10.1080/25723618.2017.1339513) “creative treason” and Carmen Ruschiensky’s (2022, Re-trans-post: Translation as Memory in Québécois Culture. In Deane-cox, S., & Spiessens, A. (Eds.), The Routledge Handbook of Translation and Memory . London & New York: Routledge, 211–30) “re-trans-post” framework, this article examines YZ Chin’s (2023, The Age of Goodbyes. Books in yzchin.com. https://www.w3.org/1999/xlink" xlink:href=" https://www.yzchin.com "> www.yzchin.com/books ) English version of Li’s award-winning novel through the notions of translation as memory and postmemory to relive original meanings, memories, and identities in target texts. The chapter highlights the effects of YZ Chin’s understanding of Li’s metafictionality in an attempt to interpret a defining moment in Malaysian history by an Anglophone reader.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.026 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".