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Record W4381430948 · doi:10.22161/ijels.83.53

A study of diasporic elements in the select works of Margaret Atwood, Jhumpa Lahiri and Kiran Desai

2023· article· en· W4381430948 on OpenAlexaboutno aff
Rimasree Das

Bibliographic record

VenueInternational Journal of English Literature and Social Sciences · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicPostcolonial and Cultural Literary Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIndian EnglishImmigrationIndependence (probability theory)LonelinessHistoryVariety (cybernetics)Identity (music)DiasporaSociologyAnguishLiteratureParallelsAestheticsMedia studiesGender studiesPsychologyArtPhilosophy

Abstract

fetched live from OpenAlex

After the two world wars and India's independence from the British in 1947, English-language writing in India has advanced significantly. Since the two world wars and India's independence from the British in 1947, Indian Writing in English, as it was once known, has advanced significantly with a few countable writers on the horizon. There weren't many writers in the corpus of works that were produced in the English language by Indian writers, especially before the label changed from Indo-Anglian Literature (that was named such before) to Indian Writing in English. The two most recent female authors to contribute to the field of Indian English literature are Kiran Desai and Jhumpa Lahiri, yet their creativity transcends the confines of gender. They speak to an Indian culture that has experienced social anguish and cultural displacement both inside and outside of their own nation as a result of globalisation and immigration. They express the suffering of Indian immigrants who have migrated in foreign countries and are filled with sentiments of loneliness and displacement while having no other options for freedom on many fronts. The selection of these two highly regarded and award-winning authors was made for a variety of reasons, including the fact that they are both contemporary writers with a wide range of parallels and differences. They share a lot of traits, yet they also naturally vary in overt and subtle ways. Nonetheless, the literary output they provide readers with is overwhelmingly impressive, and they give voice to the world's silent immigrants. They present sorrowful, yet true, stories. For instance, the fictional character Biju from Kiran Desai's novella “Inheritance of Loss” has heart breaking anecdotes to share with us about his status as an illegal immigrant and how he concealed from American Immigration police agents by vanishing from the restaurant and through the hotel's mouse hole. There are now tens of thousands of Bijus living in countries like the United States, Germany, France, Canada, the United Arab Emirates, Saudi Arabia, Bahrain, etc. Lahiri contrasts the two lives of two brothers who are travelling in opposite directions in her novel “Lowland”, which is a poignant and emotional depiction of immigrants. State terrorism claims the life of a young man as the wealthy continue to amass ever-increasing wealth at the expense of the poor, who continue to live in poverty. The “Lowland”, which was nominated for the prestigious Man Booker Prize in 2013, is sensitive to the brutal realities of society and the way the state uses the rural and ignorant majority for political purposes. The handling of female characters in immigrant stories also calls for a critical examination of Lahiri and Desai's literary creations. Another one of the well-known female writer Margaret Atwood in her novel “Surfacing” the main subject is separation. This is established in the opening chapter, as it is revealed that the narrator is politically dispossessed as an English speaker living in Quebec at a period when Québec was wanting to become an independent French-speaking nation. The narrator compares human contact to that of animals because she feels cut off from the people around her. As an illustration, the narrator thinks of an animal "at the instant the trap closes" while overhearing David and Anna having sex. Extremist David, who argues that Canada would be better off without the "fascist pig Yanks" and advises that they be driven out of the country by assault beavers, is the face of nationalism. The researcher opted to pick these two Indian immigrant women writers and Margaret Atwood for the dissertation as a result.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.389
Threshold uncertainty score0.199

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.033
GPT teacher head0.289
Teacher spread0.256 · 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 designQualitative
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

Citations0
Published2023
Admission routes1
Has abstractyes

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