Indo-Persian narrative literature: Cultural translation and rewriting of Indian stories in Persianate South Asia
Bibliographic record
Abstract
Abstract The present article aims to study the translation and rewriting process of Indian narratives in Persian during the Delhi Sultanate (1206–1526) and the Mughal period (1526–1858), and to examine their cultural adaptations and strategies of adjustment to the Muslim recipient culture involving a reciprocal exchange of literary and cultural elements and religious interpretations. In the first stage, the features of Indo-Persian narrative tradition are briefly introduced with regards to structure and integral themes and in the second, the acculturation of Indian elements will be analysed according to Islamic principles and mystical thoughts in a selection of literary texts produced by Muslim Persian scholars. The article will focus on the representations of gender in stories and the perception of justice in the Perso-Islamic context to see, in particular, how narratives carried across Indian rituals and women’s codes of conduct to the Muslim readership; in other words, we try to shed light on how the alienated Indian became domesticated in the Persian-Muslim world of thought.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.008 | 0.012 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".