The Pictorial Portrayal of Women and Didactic Messages in the Han and Six Dynasties
Bibliographic record
Abstract
This study examines the visual forms into which Liu Xiang’s (ca. 79-8 BCE) compilation Lienü zhuan (Categorized biographies of women) were translated during the Han (221 BCE-220 CE) and Six Dynasties (220-589) periods. After Liu Xiang’s work appeared, the images of lienü were established as a distinctive visual category, developed within a broader context of a didactic pictorial genre that engaged the use of images for both the living and the dead. They not only provided admonitory functions, but also were considered auspicious and visually pleasant. In addition to a body of excavated lienü images from these periods, I examine two later scrolls originally rooted in this pictorial genre of lienü, the Lienü renzhi tu (Sympathetic and wise women scroll) in the Palace Museum, Beijing, and the Nüshi zhen tu (Admonitions of the court instructress) in the British Museum. I argue that the two paintings epitomize an ideal female exemplar who is virtuous, graceful, and physically attractive – all these qualities and their textual associations served as markers of the owner/viewer’s elite status.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".