Imitation and Innovation in Timurid Poetics: Kashifi's<i>Badāyiᶜ al-afkār</i>and its predecessors,<i>al-Muᶜjam</i>and<i>Ḥadāᵓiq al-siḥr</i>
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
Husayn Vaᶜiz-i Kashifi, The Persian Prose-Writer Par Excellence of the ninth/fifteenth century, did not compose his treatise Badāyiᶜ al-afkār fī ṣanāyiᶜ al-ashᶜār [Wondrous Thoughts on Poetical Tropes] to compensate for the lapses of his predecessors, or to make a groundbreaking contribution to the Persian literary sciences. His stated purpose, at least, was rather prosaic. Badāyiᶜ al-afkār was Kashifi's calling card to the new Timurid ruler Sultan-Husayn Bayqara (r. 873/1469–911/1506), which—so he hoped—would secure his place among the literary experts at the Timurid court. That much we know from the author's introduction to the treatise. At the time of Sultan-Husayn Bayqara's ascension to the throne, Herat was at the peak of its glory.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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 it