The Changing Face of Conjugal Conflicts in Manju Kapur’s <i>The Immigrant</i>
Bibliographic record
Abstract
Conjugal relationship is one of the basic human relationships which lay the foundation of family life and strengthen family bonding. Marriage is the basis of this relationship-it begins with marriage and ends with death of or divorce from the partner. It is considered to be the most important human relationships as it has a considerable bearing on domestic peace and social integration. Husband and wife are not just sexual partners in a household but two individuals physically, emotionally, financially, and socially interdependent and in serious commitment to each other. Conflicts arising out of the complications in conjugal relationship have been dealt with as an important theme in Indian English novels. Manju Kapur (b. 1948) is one of the reputed living Indian women novelists in English and her novel, the immigrant (2008), which primarily deals with the theme of immigration to Canada, also presents the changing faces of conjugal conflicts concerning a well settled immigrant who joins his family in India to marry an Indian girl, sponsors his wife for immigration to Canada and brings her to Canada as his conjugal partner. The paper seeks to explore the nuances of the conjugal life of the immigrant couple during the transition from nationalization to globalization, which create problems and trigger conflicts in their life abroad.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.008 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".