The Cooing of the Dove and the Cawing of the Crow: Late ʿAbbāsid Poetics in Abū al-ʿAlāʾ al-Maʿarrī’s <i>Saqṭ al-Zand</i> and <i>Luzūm Mā Lā Yalzam</i>
Bibliographic record
Abstract
"In The Cooing of the Dove and the Cawing of the Crow Suzanne Pinckney Stetkevych offers original translations, close readings, and new interpretations of selected poems from the two contrasting diwans of the blind Late Abbasid master-poet, Abu al-Ala al-Maʿarri (d. 449 H./1057 C.E.). The first is Saqt al-Zand (Sparks of the Flint), the highly esteemed collection of qasidah poetry of his youth, which he later disavowed. The second is Luzum Ma La Yalzam (Requiring What Is Not Required), the programmatic double-rhymed collection from his later period of withdrawal and seclusion. She argues that the contrasting 'poetics of engagement' and 'poetics of disengagement' of the two diwans reflect the transition from High Classical to Post Classical aesthetics"--
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.012 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".