Relocating a Torn Identity and Asserting the Right of the Oppressed to be Heard and Liberated in Mohja Kahf’s The Girl in the Tangerine Scarf
Bibliographic record
Abstract
Recently, there has been a rapid increase in the production of literary works written in English by female Arab writers who have brought more appreciation for the Arab women who are often perceived by the Western reader as exotic, eccentric and complex. The article deals with the 2006 novel The Girl in the Tangerine Scarf by Mohja Kahf, a Syrian-American poet and novelist, which presents the reader with a new borderland area occupied by young Arab-American Muslim women. The novel condemns distorted images of Muslims in America by local media and US foreign policy. The article aims to show the way the protagonist Khadra attempts to relocate an identity which has been lost between home and abroad and between a radical Islam and discerning secularism. Kahf offers the Western reader a unique portrayal of Muslim women, having developed a subjectivity of their own. The article also aims to show that by disclosing the journey—searching for the identity—of Khadra, Kahf enables her to come to terms with both her Arab and American identities where she creates a new identity for herself in order to be accepted and established in America. The new attitude of Muslim-American women resonates with the author’s assertion of the right of the oppressed to be heard and liberated.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.014 | 0.015 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".