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Record W4392815710 · doi:10.5430/wjel.v14n3p319

A Re-Orientalist Critique of Moni Mohsin’s The End of Innocence

2024· article· en· W4392815710 on OpenAlexvenueno aff
Aisha Jadoon, Maria Noureen

Bibliographic record

VenueWorld Journal of English Language · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsnot available
FundersPrince Sattam bin Abdulaziz University
KeywordsInnocenceOrientalismPhilosophyPolitical scienceLawTheology

Abstract

fetched live from OpenAlex

The complicity of Western intellectuals in optimizing the oppression of the Orient even after the end of European empires is a much-debated issue within postcolonial literary circles. This argument is mostly centered around the critiques of European modernity doctrine which is held as a new face of the Imperialist project. West maintains its superiority over the East through different modes, among them diasporic fiction is identified as serving this project by Lisa Lau. In particular, Lau’s idea of re-orientalism reveals the involvement of migrant writers who highlight the inferiority of their indigenous cultures in their fiction. By considering the re-Orientalist perspective with its attention to the suspicion of meta-narratives and repetition of the stories already popular among Western readers, this paper points out the subtle ways in which formulaic representation of characters, emplotment of the story in specific socio-cultural Pakistani society and the narratorial references to historical and political happenings of the Pakistani society re-construct the orient as ‘other’. This paper concludes Moni Mohsin’s The End of Innocence as a cultural construct serving the European agenda of colonization, wherein the novelist has depicted the backward, sensual and illiterate Pakistani culture through the stereotyping of the indigenous population.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.027
Scholarly communication0.0060.004
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.302
Teacher spread0.288 · 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 designTheoretical or conceptual
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
Published2024
Admission routes1
Has abstractyes

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