Bibliographic record
Abstract
In the field of life writing, a collective biography is a biography of a group of lives that share common background characteristics. Han Shaogong’s A Dictionary of Maqiao (1996) collects life stories, in a lexical list of entries, of 22 principal characters from the fictitious village of Maqiao. If there is a common background characteristic of Maqiao’s people, it is their special way of using words to shape their way of thinking. The 115 word entries that Maqiao people use reveal life stories covering more than a century. As a first person narrator and a biographer of collective lives, Han also seems to be a witness to their lives. How does he fuse autobiographical, biographical and historical truths into this text? How does he interpret Maqiao’s lexicon in the light of their collective lives? Are auto/biographical theories applicable to Han’s collective biography? Finally, what contributions does he make to collective life writing? To answer the above questions, this paper takes A Dictionary of Maqiao as a metafiction to discuss life writing issues with theorists such as Paul John Eakin, Philippe Lejeune, and Zhao Baisheng. It also searches for Han’s methodologies and techniques in creating collective life stories through a textual analysis. By reading literary biographies of Han Shaogong and his stories of Maqiao people, this paper also analyzes what constitutes “truths” and “facts” in this collective biography. Finally, it demonstrates how Han makes biography new in terms of life writing.
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 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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".