Translating Rāma as a Proto-Muḥammadan Prophet: Masīḥ’s Masnavī-i Rām va Sītā
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract How have religious communities imagined the scriptures of other communities? In answering this question, this article aims to nuance our understanding of pre-colonial and self-consciously Islamic translations into Persian of Indic language texts understood to be Hindu by considering Masīḥ’s early 17th-century Mas̱navī-i Rām va Sītā , a Persian translation of Vālmīki’s Sanskrit epic, the Rāmāyaṇa (circa 2nd century bce ). It opens by remarking on a shift in the study of the relations between poetics and politics in Persian translations of Indic texts. Then, attempting to refine our understanding of this relation, it takes issue with prior studies of this poem before answering the following questions these studies fail to pose: how does the prophetological metaphysics of the prefatory chapters relate to the poetics of emotion in the main body of the tale? And what does this relation let us infer of Masīḥ’s theological conception of translation?
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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 it