Bibliographic record
Abstract
In 1944, the novel Xie (Crabs) by Mei Niang (1916-2013) was honored with the Japanese Empire’s highest literary award, Novel of the Year. Then, at the peak of her popularity, Mei Niang published in Japanese-owned, Chinese-language journals and newspapers in the Japanese puppet state of Manchukuo (1932-1945), Japan, and north China. Contemporaries lauded her writings, especially for introducing liberalism to Manchuria’s literary world. In Maoist China, however, Mei Niang was condemned as a traitor and a Rightist with her life and career torn to shreds until her formal vindication in the late 1970s. In 1997, Mei Niang was named one of "Modern China's 100 Writers." The collection that is translated in this volume, Xiaojie ji (Young lady’s collection), was published in 1936, when she was 19 years old. Long thought forever lost in the violence of China’s civil war and Maoist strife, the collection was only re-discovered in 2019. This is the first book-length, English-language translation of the work of this high-profile, prolific New Woman writer from Northeast China. Mei Niang’s Long-Lost First Writings will appeal to those interested in Chinese literature, the Japanese Empire, historic fiction, history, women’s/gender history, and students in undergraduate and graduate level courses. To date, English-language volumes of translated Chinese literature have rarely focused on Manchukuo’s Chinese writers or centered on those who left the puppet state by1935. This volume fills an important historical lacuna – a teenaged Chinese woman’s views of life and literature in Japanese-occupied Manchuria.
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 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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".