A Psychoanalytical Perspective: The Concept of Compassion in George Eliot’s The Lifted Veil
Bibliographic record
Abstract
The present paper aims to investigate the concept of compassion in George Eliot’s novella The Lifted Veil (1859). The central argument is that compassion is one of the essential conceptions that should take into awareness to probe and reveal the insight natural expressions of compassion in Eliot’s The Lifted Veil. The study sheds light upon the different forms of compassion such as sympathy, love and friendship and the major impact of each of them on the protagonists’ development. The study relies on the psychoanalytic perspective in analyzing the concept of compassion in Eliot’s The Lifted Veil . Psychoanalytic theories of compassion such as Personality Theory propose that compassion has significant impacts on the life of human beings. The study focuses on the various theories proposed by Sigmund Freud concerning early-childhood development which stress the seriousness of childhood stories and their struggles in the development of adults. In addition to that, the study is based on a close reading of Eliot’s literary texts and followed by a literary analysis of Eliot’s The Lifted Veil . The study focuses on Eliot’s The Lifted Veil and could be applied to other works. Moreover, the reading of Eliot’s novella The Lifted Veil could be used to promote her work as valuable to contemporary readers because of the ideas her work has on people.
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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 | 0.001 |
| Science and technology studies | 0.003 | 0.029 |
| Scholarly communication | 0.004 | 0.003 |
| 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".