Bharati Mukherjee’s Struggle Against Cultural Balkanization: the Forging of a New American Immigrant Writing
Bibliographic record
Abstract
This paper aims at analysing Bharati Mukherjee’s individual positioning as a woman writer by using the female characters caught between two different worlds, homes and cultures present in her works. After having undergone several phases in her life: as an exile from India, an Indian expatriate in Canada, a common immigrant and finally a citizen in the United States, all these diverse selves have been translated into her literary career. The writer thus envisions herself as a pioneer of new lands and literatures, initiating a process of re-forming and de-forming American culture, and redefining diaspora as a process of unhyphenated rehousement in which the cultural landscape in which one lives is no longer divided into a centre and its peripheries. Mukherjee celebrates “racial and cultural mongrelisation” but rejects cultural balkanization in its defence of the local over the national. She is neither ignorant nor insensitive to racism and oppression in the United States, yet her characters are always tenacious and feisty in their struggle to belong. Mukherjee stresses their quality as battlers, moved by the instinct to improve their lives. In her construction of America as the land of opportunity and success Mukherjee rejects homesickness and in so doing she clearly marks a difference from the Indian diaspora, though we consider that in defending this posture she goes to extremes, idealizing the “real” to create a personal and literary migrant cosmos.
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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 | 0.004 | 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 | 0.027 | 0.018 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 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".