A Cognitive Analysis of Poems in A Dream of Red Mansions from the Perspective of Image Schema
Bibliographic record
Abstract
This paper adopts a cognitive perspective in the analysis of various image schemas in the novel A Dream of Red Mansions, one of the most influential classical masterpieces in Chinese literature. Two poems from the novel are interpreted from the perspective of link schema, container schema, up-down schema, part-whole schema, and source-path-goal schema, to reveal the personalities, values and life philosophies of the two female protagonists. The contrast between the pessimism and melancholy of Daiyu and the optimism and aspiration of Baochai demonstrates the author’s understanding of that time and society, especially the status and fate of females. The analysis illustrates that image schemas, which involves bodily experience and metaphorical projection from concrete to abstract domains, can surpass language boundaries, reveal emotions and themes, and shed light on cross-cultural studies of literature.
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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 | 0.001 | 0.075 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".