A Battle Against One’s Soul: An Analysis of Lady Macbeth’s Functions as the Other Self to Macbeth
Bibliographic record
Abstract
The play Macbeth is one of William Shakespeare’s most well-known tragedies. This research is intended to analyze the functions of Lady Macbeth as the other self to Macbeth. She is not only the motivator of Macbeth’s self-assertion, but also the silent bearer of Macbeth’s burden of conscience and the reflector of Macbeth’s self-alienation. Undoubtedly, Lady Macbeth plays a crucial role in the tragic end of Macbeth since it’s she that improvises Macbeth to commit crime. Her incitements and actions, nevertheless, are only the overt show of Macbeth’s inward eagerness to assert himself as a brave man. Lady Macbeth, furthermore, conscientiously suffers the burden of Macbeth’s sense of guilt later on. And her alienation from Macbeth indicates the latter’s self-alienation, who has gone the wrong direction but can no longer find the way back. Their relationship shows the process of Macbeth’s self-definition and vividly depicts the ambivalence of Macbeth’s tortured self.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.018 | 0.021 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".