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Record W4411530985 · doi:10.5430/wjel.v15n7p359

Decolonizing the Margins: Examining the influence of English Literature on the Development of Regional Identities in Punjab and Northeast India

2025· article· en· W4411530985 on OpenAlexvenueno aff
Muhammad Yaseen, M M Raihana, Shanthini Pillai

Bibliographic record

VenueWorld Journal of English Language · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicSouth Asian Studies and Conflicts
Canadian institutionsnot available
Fundersnot available
KeywordsMindsetPietyScholarshipSociologyFrontierGender studiesPoliticsSolidarityHistoryPolitical scienceLawPhilosophy

Abstract

fetched live from OpenAlex

Ethnoreligious and ethnocultural affinities are socially cohesive forces in Punjab and in Northeast India that shapethe internal dynamics of the region. The orthodox approach in practicing these factors destabilizes the regional fulcrum of peace in the mindset of nationalists, but contrary to it, practicing these values are pride and glory in the mindset of regionalists. The nexus of politics, religion, culture, and the stream of regionalism in transnational northeast India and in Punjab paints an agitating picture of tribes riven by atrocity and menace. Both regions, despite their distinct sociopolitical histories and cultural contexts, have utilized English literature as a medium to articulate their identities, confront marginalization, and navigate the complexities of tradition and modernity. The regional extremism on display is at odds with the dignified piety commonly linked with religion and culture. Opportunists stoke the flames and label the regional tribal community as extremist and regionalists, conflicting with the national interest of mainland India. Treating northeasterners as alien, savage, and uncivilized within India has become a default response in the state, which was not new to them, as missionaries also believed that the arrival of Christianity was the arrival of light to this dark world.Multidimensional identity remains a major question in India. In Indian English literature, R. K. Narayan, Mulk Raj Anand, Raja Rao, Arundhati Roy, Temsula Ao, Kiran Desai, Anita Desai, Jhumpa Lahiri, Vikram Seth, and Khushwant Singh are some of the most remarkable names who contributed their work directly or indirectly to identity as a serious phenomenon in diverse India. It is widely believed that the ‘Indian Freedom Struggle’ and ‘Imperialism’ generated sentiments of nationalism that brought together diverse religions, languages, and lifestyles to demand a home from colonizers. However, during the decolonization process, Punjab divided, and Sikhs suffered more than the rest of India. This paper will highlight how the concept of identity transits throughout Indian English literature after decolonization in Punjab and Northeast India via indigenous and diasporic writers. This study further aligns ethnoreligious and ethnocultural identities in Punjab and Northeast India and their transnational impacts on regional identity in regional literature. We will explore these concepts to examine how regional English literature has served as a platform for articulating and redefining regional identities, particularly within the contexts of Northeast India and Punjab, with a focus on the literary contributions of Easterine Kire and Khushwant Singh. The article will provide an in-depth examination of literary works, unearthed thematic undercurrents, illuminate the nuanced struggles and lived experiences that define the identities of these regions.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.049
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0040.007
Scholarly communication0.0060.003
Open science0.0010.005
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.264
Teacher spread0.250 · 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 source (direct Gemma or distilled Codex), 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
Published2025
Admission routes1
Has abstractyes

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