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Record W2465312408 · doi:10.1177/0021989416631791

Post-9/11 re-orientalism: Confrontation and conciliation in Mohsin Hamid’s and Mira Nair’s <i>The Reluctant Fundamentalist</i>

2016· article· en· W2465312408 on OpenAlexaboutno aff
Lisa Lau, Ana Cristina Mendes

Bibliographic record

VenueThe Journal of Commonwealth Literature · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicSouth Asian Cinema and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsOrientalismHistoryLiteratureSociologyAestheticsMedia studiesPhilosophyArt

Abstract

fetched live from OpenAlex

This article offers a comparative reading of the novel and film adaptation of The Reluctant Fundamentalist, looking at the ways these texts represent changing Western public perceptions towards Pakistan and vice-versa along the temporal axis 2001–2007–2012. Both novel and film are informed by the post-9/11 distrust of the Muslim other. Mohsin Hamid’s novel was begun before 9/11 and published seven years later, in 2007; Mira Nair’s film adaptation followed in 2012, with a premiere at the Venice Film Festival (as the opening film) and the Toronto Film Festival. Ostensibly more conciliatory than Hamid’s novel, Nair’s film adaptation attempts to build bridges, stressing the tragedy of cultural suspicion and mistrust that besets the relationships between Pakistan and the US, endeavouring to open and facilitate dialogue. Despite utilizing spaces of ambiguity to expose the dangers of binary thinking, both novel and film ultimately demonstrate that representations are still unable to escape the loop of orientalism and re-orientalism, highlighting the tension of how East and West continue as locked into this circular mode of relational identity.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.786
Threshold uncertainty score0.248

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 head0.012
GPT teacher head0.221
Teacher spread0.209 · 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

Citations7
Published2016
Admission routes1
Has abstractyes

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