A Sociological Study on Arthur Miller’s Death of a Salesman and All My Sons, Based on Georgy Lukacs’s Theories
Bibliographic record
Abstract
Society and its human relations have always had a mutual connection with arts and culture; thus, the majority of artistic creations have always reflected images of society in the very heart of them. Sociological Studies of art, as an independent field does have a long history, however with the rise of modern social fields of study in the 19th and 20th century, there has been a significant growth in sociological studies.Georgy Lukacs as a pioneer theorist in the sociology of arts and literature has led a series of studies in the field of modern drama. This study has attempted to analyze Arthur Miller’s two significant plays, Death of a Salesman and All My Sons, based on Lukacs’s theories, along with discovering the methods, which Miller has depicted to process and interweave social concepts and phenomena within his works. This being done, a potential map has been drawn as a clear sample for dramatists of the modern era of playwriting on how to relate to social and cultural issues, not only in a descriptive method but in an analytical, critical way.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.013 | 0.014 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.003 |
| 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".