Bibliographic record
Abstract
Many have been fascinated by Dante’s treatment of Virgil in his Commedia. He is simultaneously Dante’s beloved master, and a character who does not escape Hell. Robert Hollander famously asserts that Dante wields Virgil to classify him as a failed poet-vates, and therefore by contrast, to show himself, Dante, as theologus-poeta. In this paper, I will show that more than demonstrating himself a true prophet, Dante also utilises Virgil to suspend Christian comedy above classical tragedy. This paper will explore the Siren theme throughout Purgatorio, namely in Cantos II, XIX, and XXX, for observing how Dante himself moves beyond the Siren, and concurrently evinces Virgil’s failure to do so. As Beatrice is contrasted to the Siren, Dante is paired with Virgil, his Commedia with the Aeneid. In making this argument, I tie everything together by showing how the appearance of Beatrice alludes to Nisus and Euryalus (a hitherto unnoticed allusion), the very characters that Virgil had written to insert higher morality into Homer’s Odysseus and Diomedes. While those characters met tragic end, Dante and Beatrice, by contrast, are reunited in Christian splendor—that is, redemptive and transformative grace. Dante’s Commedia is therefore a comedy because Dante moves beyond the Siren to Beatrice, a feat that Virgil was not able to accomplish.
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 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 | 0.000 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.044 | 0.006 |
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".