Eliot’s Approach to Ethical Poetry as a Case Study The Love Song by J. Alfred Prufrock
Bibliographic record
Abstract
This study aims at showing the ethical approaches in T.S. Eliot’s poetry. I argue that Eliot’s poetry is loaded with ethical approaches that characterized the era in which he lived. Also, the significance of this study arises from the fact that ethics have become buried in modern life. I, among others, feel we need it urgently these days to survive in a nice manner. In The Love Song of J. Alfred Prufrock , readers are shocked to notice male man has become or is viewed as being less productive and lacking decision-making, exactly another copy of Hamlet. The Love Song of J. Alfred Prufrock reflects the feelings of emasculation, not feminism, experienced by many men as they returned home from World War I to find women empowered by their new role as wage earners. Prufrock (2009), unables to make a decision, watches women wander in and out of a room, “talking of Michelangelo” (p.14), and elsewhere admires their downy, bare arms.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.018 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| 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".