The Medieval Reception of FirdausÄ«'s ShÄhnÄma: The ArdashÄ«r Cycle as a Mirror for Princes
Bibliographic record
Abstract
Based on a broad survey of the reception of Firdausī’s Shāhnāma in medieval times, this dissertation argues that Firdausī’s oeuvre was primarily perceived as a book of wisdom and advice for kings and courtly élites. The medieval reception of the Shāhnāma is clearly manifested in the comments of medieval authors about Firdausī and his work, and in their use of the Shāhnāma in the composition of their own works. The production of ikhtiyārāt-i Shāhnāmas (selections from the Shāhnāma) in medieval times and the remarkable attention of the authors of mirrors for princes to Firdausī’s opus are particularly illuminating in this regard. \n\tThe survey is complemented by a close textual reading of the Ardashīr cycle in the Shāhnāma in comparison with other medieval historical accounts about Ardashīr, in order to illustrate how history in the Shāhnāma is reduced to only a framework for the presentation of ideas and ideals of kingship. Based on ancient Persian beliefs regarding the ideal state of the world, I argue that Ardashīr in the Shāhnāma is represented as a Saviour of the world. Within this context, I offer new interpretations of the symbolic tale of Ardashīr’s fight against a giant worm, and explain why the idea of the union of kingship and religion, a major topic in almost all medieval Persian mirrors for princes, has often been attributed to Ardashīr. Finally, I compare the Ardashīr cycle in the Shāhnāma with nine medieval Persian mirrors for princes to demonstrate that the ethico-political concepts contained in them, as well as the portrayal of Ardashīr, remain more or less the same in all these works.\n\tStudy of the Shāhnāma as a mirror for princes, as this study shows, not only reveals the meaning of its symbolic tales, but also sheds light on the pre-Islamic roots of some of the ethico-political concepts presented in the medieval Perso-Islamic literature of wisdom and advice for kings and courtiers.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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 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".