Parallelizing Rostam and Sohrab with Achilles and Hector in Matthew Arnold’s Poem “Sohrab and Rustum”
Bibliographic record
Abstract
In translating “Rostam and Sohrab”, one of the most delightful stories in Shahnameh, Matthew Arnold did not stay true to Ferdowsi’s version. Instead, he opted to veer more into Homer’s The Iliad. The Homeric atmosphere hovering over the poem is exactly one of the factors that made Arnold’s poem universally famous. One of the scenes that Arnold intentionally, and most cleverly, copied in his rendition of Rostam and Sohrab was the battle between the Greek hero Achilles and the Trojan hero Hector, which he depicted under the heavy influence of Homer’s The Iliad. The present article is an attempt to demonstrate this parallelization which can be found in the overall framework of Arnold’s poem, especially in the battles between Rustum and Sohrab with that of Achilles and Hector.
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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 | 0.002 | 0.012 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".