Flirting with the Radical: Intertextuality, Intervisuality, and Gendered Subversions in Manuscripts of Suz u Gudāz
Bibliographic record
Abstract
Abstract This essay focuses on a corpus of eight mid- to late eleventh-/seventeenth-century illustrated manuscripts of the poem Sūz u Gudāz by the poet Nawʿī (d. c. 1019/1610). The text describes the struggle of a Hindu maiden, whose fiancé has died, to commit satī on his funeral pyre despite the interventions of various figures in her life. The essay discusses how later Safavid painters adapted and transformed established pictorial compositions associated with mas̱navī s from the Khamseh (“Quintet”) of Neẓāmī to illustrate Nawʿī’s poem, reflecting its status as a javāb (pointed response) to Neẓāmīan romances. The illustrators often altered the compositional models to draw attention to the gendered dimensions of Nawʿī’s subversive poetics.
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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 | 0.002 | 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 | 0.000 | 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) | 0.000 | 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".