Voices in Exile: Postcolonial Identity and Muslim Immigrant Experience in Abdulrazak Gurnah's Admiring Silence
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.011 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".