Translation of Islamic Arabic Poetry: A Two-Stance Methodological Framework
Bibliographic record
Abstract
This study investigates whether it is possible to translate Islamic Arabic poetry, as a universal literary religious genre, into English to a high level of quality. A global-local translation framework (Halimah, 2020) is applied to the translation of Imam Ashshafi’ee’s[i] poem “الرضا بقضاء الله”/ “Accepting Fate with Pleasure” into English, where a methodological collaboration between a bilingual translator and an English poet manifests a two-stance methodological framework. The results, along with the qualitative and quantitative analysis of poetic extracts used in this paper, indicate that this framework has resulted in improving the quality of Islamic Arabic poetry translation. The translated materials proved to be ‘novel and appropriate’, achieving a very high 90% of approximation of the original text against ACNCS criteria. This framework can also be applied by translators of other literary and non-literary texts to bring more structure and clarity to the discipline of translation.[i]Muhammad bin Idrees Ashshafi’ee (DoB:150H/767A.D died in 204H/820A.D.) The founder of the Sunni School of Law مذهب الشافعية
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".