A Woman’s Tragedy in a Revolution: Love and Marriage in The Epic of a Woman
Bibliographic record
Abstract
This paper examines Chinese women’s love and marriage during a political and cultural revolution, and the impact on women’s livelihood. This paper discusses how changing in political ideology and culture is affecting love and marriage for a female figure. The paper takes the respect, responsibility, care knowledge (RRCK) model of love to exam the female’s one-sided love from a lens of Fromm’s theory of the four elements of true love to shed the light on the dysfunctional relationships among in China that results in gender violence and as demonstrated in the novel The Epic of a Woman. This paper sets forth options for love and marriage in the mid-20th century Chinese literary and to re-examine gender violence against women. The Epic of a Woman (Yige nüren de shishi), by Chinese American woman writer Yan Geling (b. 1958), narrates the experiences of female protagonist Tian Sufei and her relentless pursuit of love throughout her life. The female protagonist in this novel is a reflection of Yan Geling’s mother's personal experiences. Yan’s mother was a popular dancer in an art troupe in the revolutionary army when she was young. The novel is set in the period from the 1940s to the 1970s, with her husband being sent to a labor camp during the Cultural Revolution.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.016 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".