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Record W1956891868 · doi:10.5565/rev/indialogs.25

Bharati Mukherjee’s Struggle Against Cultural Balkanization: the Forging of a New American Immigrant Writing

2015· article· en· W1956891868 on OpenAlexaboutno aff
Ma Luz González

Bibliographic record

VenueIndialogs · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicSocioeconomics of Resources and Conservation
Canadian institutionsnot available
Fundersnot available
KeywordsDiasporaOppressionExpatriateRacismImmigrationGender studiesSociologyMulticulturalismPolitical scienceLaw

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.450
Threshold uncertainty score0.505

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.056
GPT teacher head0.244
Teacher spread0.188 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2015
Admission routes1
Has abstractyes

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