The Nanjing Courtesan Ma Shouzhen (1548–1604): Gender, Space and Painting in the Late Ming Pleasure Quarter
Bibliographic record
Abstract
The city of Nanjing in the late Ming period (1550–1644) was a bustling commercial and cultural centre. In its pleasure quarter along the Qinhuai River, literati and officials mingled with elite courtesans who, educated in painting, poetry and music, used their cultural capital in order enhance their visibility and sociability, and obtain the literati's patronage. The extraordinary gender relations of the entertainment district were specific to its socio‐historical environment, where courtesans, although still highly dependent on men, partook in the public scene and exceeded some gender stereotypes and Confucian values, as they owned material goods and enjoyed higher physical mobility than their female counterparts in the gentry. The geographical space shared by courtesans and literati was principally a social and intellectual space, where they generated cultural productions and established social practices. In order to explore the concepts of gender and space in urban settings, this article analyses the case of the as redundant elite courtesan Ma Shouzhen (1548–1604), who was a renowned painter and poetess. A close look at her case contributes to further understanding the construction of social space and expressions of gendered subjectivity in the southern metropolitan courtesan environment.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.009 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".