Female Bildungsroman In Contemporary Chinese Transnational Literature
Bibliographic record
Abstract
The recent decades witnessed the growing number of Chinese transnational novels (Ng & Holden, 2006), and some of them have achieved great success, especially those English novels written by overseas Chinese female writers and focusing on female bildungsroman. Yan Li and Xiaolu Guo are the most outstanding representatives. In this study, I explore the female bildungsroman in Chinese transnational literature in English written by overseas Chinese female writers. The two texts chosen for the study are A Concise Chinese-English Dictionary for Lovers (2008) by Chinese-British novelist Xiaolu Guo, and Daughters of the Red Land (1996) by Yan Li, a Chinese-Canadian writer. In my analysis, the development of the female protagonists in the two novels will be explored through the framework of transnational literature, which refers to the contemporary literature that has developed as a consequence of the transfer of information and ideas among different peoples, cultures and identities across a transnational field (Morgan, 2017).
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.011 | 0.010 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".