Bibliographic record
Abstract
Ḥanān al-Shaykh’s 2005 memoir of her mother’s extraordinary life, Ḥikāyatī sharḥun yaṭūl (My Tale Is Too Long to Tell), changes significantly in its translation as The Locust and the Bird. In Arabic, Kāmilah narrates her life story through her daughter’s pen, using clever linguistic shifts of tone and register as well as a wicked sense of humor to convey her unconventional choices. It is a very local tale of life in South Lebanon. This article argues that the changes the text undergoes as it moves from Arabic into English refocus this novel and transform it into a work about transnational migration. Framing this study against the background of other Arab women’s novels that have undergone major changes in translation into English, I show how domesticating translation strategies operate to reinforce the text’s and the narrator’s difference and exoticism. While claiming to make the text “more accessible” to an English-language readership, domesticating translation moves in this novel—including a changed title, the addition of a foreword and an epilogue, and others—inscribe a deep sense of difference within this novel. More specifically, these translation changes layer emotional and physical estrangement as well as add the themes of exile and the American Dream into a memoir of a woman who rarely left South Lebanon.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.010 | 0.008 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".