Bibliographic record
Abstract
Although Goethe, who first propounded Weltliteratur, was inspired by Persian poetry, recent theorists of world literature have largely ignored it. Persian poetry thrived for hundreds of years across a vast swath of West, Central, and South Asia, but despite this transregional reach and influence, a dominant model of world literature as literature that gains in translation skews against it and other lyric-rich literatures. Exploring a ghazal of Rumi’s, this article examines translation’s losses of what Ezra Pound called poetry’s melopœia and logopœia. But it also looks closely at a contemporary ghazal by Simin Behbahani to check polemical arguments about the “untranslatability” of poetry, showing how phanopœia and other aspects of lyric can survive and even thrive in translation. Proposing a more nuanced position that allows for both losses and gains, this article argues that “world literature” must incorporate comparative literary specificity to be adequate to Persian and other varieties of lyric poetry.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".