The Aristotelian Catharsis: From Degradation to Salvation: A Study of King Lear and the Metamorphoses of His Character
Bibliographic record
Abstract
In The Tragedy of King Lear , King Lear is always considered as a complex character and hard to be analyzed for his childlike, passionate, playful and sympathetic character. His misfortune comes form his rash haste, his childlike character, his blindness to everything under the control of his passions or affections. His miserable destiny is worth of considering and being analyzed. According to the Freudian Personality Theory, human’s personality can be divided into three parts: the id, the ego, and the superego. Originally, the personality structure theory is used primarily to treat mental illness, and then it is developed into a critical method in literary criticism. Guided by the theory of personality structure, this thesis attempts to make a thorough exploration of the psychic conflicts and growth of King Lear in the formation of his healthy personality through the storm.
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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 | 0.002 | 0.004 |
| 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 | 0.029 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| 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".