Six Records of a Life Adrift: A Unique Lyrical Memoir of Late Imperial China
Bibliographic record
Abstract
Six Records of a Life Adrift is a Qing dynasty memoir written in classical Chinese by a clerk named Shen Fu (1763–?1825). It holds a unique place in the history of Chinese literature for its innovative form, lyrical narrative voice, and candid content, which deals with Shen Fu's marriage to Chen Yun, an outspoken woman with a strong sense of autonomy. Two of the records are missing, but the remaining four are each on a different emotional aspect of Shen Fu's past, and overlap temporally, thus building up a multilayered, affective account of his life, similar in structure to a classical Chinese poem. The book, first published in Shanghai in 1878, is an immensely rich resource for the study of everyday life in late imperial China, and has been published in over 100 editions in China. It has been translated into 14 languages.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".