Drama in Umayyad Poetry: A Case Study of 'Amman Aal Nu'm' by 'Umar ibn Abi Rabiah
Bibliographic record
Abstract
This study examines the phenomenon of drama in Umayyad poetry, utilizing the poem "Amin Aal Nu'm" by 'Umar ibn Abi Rabiah as a specific example. It consists of an introduction, two main sections, and a conclusion. The first section provides a definition of this phenomenon, its origins, and its development, while also exploring the interplay between poetry and prose narrative arts and the resulting impact on the convergence of literary genres, with a particular focus on its implications within poetry. The second section delves into an analysis of the presence and positioning of this phenomenon within 'Umar ibn Abi Rabiah's poem through a study of its dramatic elements and their application within the poem's verses and segments. Finally, the conclusion presents the most significant findings and perspectives derived from this study. The textual approach is employed as a tool to elucidate the dramatic structure in both the formal and semantic aspects of the text and their interplay.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.019 | 0.010 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".