Shame, Guilt, Empathy, and the Search for Identity in Arthur Miller's <i>Death of A Salesman</i>
Bibliographic record
Abstract
Among other things, tragedy dramatizes identity crises. At the root of such crises lie feelings of shame. You might ask: what about guilt? There is no question that guilt plays a major role in tragedy, but tragedy also dramatizes the way in which feelings of shame shape an individual's sense of identity, and thus propel him or her into wrongdoing and guilt. In fact, Bernard Williams examines the relation and distinction between shame and guilt in his study of ancient Greek tragedy and ethics, Shame and Necessity. He "c1aim[s] that if we can come to understand the ethical concepts of the Greeks, we shall recognise them in ourselves." In the process of establishing a kinship between the Greeks and ourselves, Williams provides an excellent foundation upon which to build an argument on the dynamics of shame, guilt, empathy, and the search for identity in Arthur Miller's modem tragedy Death of A Salesman.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.013 | 0.028 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.006 |
| 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".