CLASHES OF CULTURE IN THE NOVEL OF BHARATI MUKHERJEE
Bibliographic record
Abstract
This study is an attempt to analyzeBharati Mukherjee’s novels from a cross-culture perspective. Bharati Mukherjee is one of the major novelists of the Indian diaspora in the United States. She is an American writer of Indian origin who writes about the immigrant experiences of women from India in the United States and the problems faced by them in adjusting to the culture of the alien land. Mukherjee’s own biographical path covers India, Canada and the United States, and her novels focus mainly on dislocation, alienation and assimilation in the alien land. She has written eight novels, two collections of short stories such as Darkness and The Middleman and Other Stories, and two non-fiction books in collaboration with her husband Clarke Blaise. Bharati Mukherjee’s creative world best manifests immigrant experience in cross-cultural confrontation. Her novels deal with expatriates, exiles, and immigrants from Third World countries especially from India as in her earlier novels The Tiger’s Daughter, Wife, Jasmine, Leave It to Me, Desirable Daughters and The Tree Bride or immigrants from America as in The Holder of the World, The Tree Bride and Miss New India. Bharati Mukherjee has thus achieved great recognition within a short span of time as a diasporic writer through her fictional works on immigration, cross-cultural experiences, and assimilation with unique cross-cultural sensibility from her personal experiences as an expatriate and immigrant in the United States.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.029 | 0.016 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.008 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".