McEwan’s Enduring Love: A Psychoanalytical Investigation
Bibliographic record
Abstract
This essay is a psychoanalytic examination of Ivan McEwan's novel ‘Enduring Love’. The Object Relation Theory, which asserts the existence of a fundamental human instinct known as mother-child relationship, provides a unique viewpoint on how an individual interacts with his or her environment. It is about studying the characters' behaviours and attempting to understand them from a psychoanalytic perspective. The anxieties and tensions that permeate McEwan's characters' psyches in Enduring Love will be shown via the use of synthesising key phrases and concepts from Klein, Fairbairn, and Winnicott's object-relations theory. Klein, Fairbairn, and Winnicott argue that during an infant's early years, there are both good and toxic things from the outside world. These things, which include activities, people, and relationships, are referred to as objects, and are internalised as positive or negative experiences, indicating that what we live through, contributes to the development of our self and personality. Mother is an object, and the infant's relationship with his or her mother is critical to the child's maturation, growth, development, and later stages of life. According to this, identifying the source of McEwan's characters' failures in their interactions and relationships with one another results in their early childhood's unsatisfactory emotional experiences, resulting in an imperfect development in later stages of life in establishing healthy relationships.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.026 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 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".