INTIMACY CRISIS AND EMOTIONAL ISOLATION IN DIASPORIC MARRIAGE: A CRITICAL READING OF THE IMMIGRANT BY MANJU KAPUR
Bibliographic record
Abstract
This research article examines the themes of marital intimacy, emotional alienation, and diasporic adjustment in The Immigrant by Manju Kapur. The novel presents the experiences of Nina and Ananda, whose arranged marriage becomes a site of psychological tension, cultural negotiation, and personal dissatisfaction. While marriage initially appears to promise stability, companionship, and social respect, it gradually reveals emotional distance and sexual incompatibility that create a sense of loneliness for both partners. The study explores how migration intensifies marital strain by placing individuals in unfamiliar cultural surroundings where emotional dependence on the spouse becomes stronger. Nina’s struggle to adapt to life in Canada, combined with unmet expectations within marriage, highlights the complexities of diasporic identity and gender roles. At the same time, Ananda’s experiences reflect the internal conflict between traditional values and Western influences. The article argues that the narrative questions the conventional belief that marriage naturally ensures fulfilment, suggesting instead that relationships often survive through compromise, adjustment, and endurance rather than romantic love. By focusing on intimacy crisis and emotional isolation, the paper contributes to a deeper understanding of diasporic marriage as both a personal and cultural negotiation.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.011 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| 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".