Interactive canvas : a new conception of the female portraits in three novellas by Su Tong
Bibliographic record
Abstract
This study consists of an analysis of the major female characters in Su Tong's three novellas: "Wives and Concubines," "Embroidery," and "Lives of Women." Beginning with a brief introduction to the progress of Chinese literature to the emergence of the avant-garde to which Su Tong belongs, an introduction to Su Tong and his three novellas follows. The analysis of the novellas focuses on the character portraits painted by Su Tong that depict the twelve female characters' fates, characters and thoughts. Su Tong's artistic style and elements such as symbolism, imagery, the yin principle and magic realism are analysed in detail. I subjected my study to a traditional formal analysis as articulated by Norman Friedman in Form and Meaning in Fiction, then examined the novellas in light of David Der-wei Wang's evaluations of Chinese contemporary literature from Running Wild: New Chinese Writers. When the results of both analyses were compared, then combined with Wayne C. Booth's The Company We Keep: An Ethics of Fiction, the resulting impasse evolved into common ground. I propose that each reader, in the 'trying on' of alternatives discovered in narratives, makes personally meaningful interpretations that are relevant to his/her own particular life situation. Literature is still meamngful for the reader, but the source of the meaning or messages that the reader finds in literary works derives from the reader in an interaction with the characters and implied author of the narrative that engages him/her.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".