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Record W7108201212 · doi:10.5281/zenodo.17779022

Voices in Exile: Postcolonial Identity and Muslim Immigrant Experience in Abdulrazak Gurnah's Admiring Silence

2025· article· en· W7108201212 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicPostcolonial and Cultural Literary Studies
Canadian institutionsWomen's College Hospital
Fundersnot available
KeywordsHomelandDiasporaIdentity (music)HybridityImmigrationSilenceCultural identityEthnic group

Abstract

fetched live from OpenAlex

This study examines the themes of postcolonial identity, exile, cultural hybridity and the experience of the Muslim immigrant in Abdulrazak Gurnah's novel Admiring Silence (1996). The study is concerned with racial and cultural issues of the diaspora Muslim immigrants. Using a postcolonial approach, the research explores the character's struggle to find their identity and belonging, both domestically and abroad in the countries of their origin and the societies in which they live. The study sheds light on the complex identities of characters shaped by the dynamics of postcolonial experiences, including immigration, cultural hybridity, and racial and religious identity. The present study uses a descriptive-analytical approach in the postcolonial context. The findings show the protagonist's experience of a cultural displacement and fragmented sense of selfhood as he struggles to balance the racial, national, and religious identities that he is forced to adopt by both his homeland and his life in exile. The research aims to introduce new knowledge into the multidimensional human experience of Muslim immigrants living in exile and to reveal their sufferings of alienation, identity loss, and a sense of belonging.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.919
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
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 head0.042
GPT teacher head0.277
Teacher spread0.235 · 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.

Study designNot applicable
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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