From Khartoum to London: The Metaphoric Correspondences between the Homeland and the Host Land in Leila Aboulela’s Minaret
Bibliographic record
Abstract
Leila Aboulela’s Minaret is an account of the protagonist Najwa’s diasporic life in London. There, she works as a housemaid in contrast to her homeland in Khartoum, where she used to live in a multistoried house with servants. The article conducts a metaphor analysis of Najwa’s tragic tale of immigrants’ life in the host land, London, and the material conditions that force her to work as a housemaid. The analysis explores the structural metaphors, a type of conceptual metaphor, in the novel to demonstrate how the experiences in Khartoum inform the perceptions, feelings, and understanding of the situations in London. The article argues that Najwa calls diasporic life an imprisonment and immigration to London as a fall to metaphorically describe her guilt-ridden, poverty-stricken life as a servant in London. The analysis concludes with how Najwa overcomes her guilt and attains absolution by coming to terms with her life in the host land.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.020 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".