Bibliographic record
Abstract
Throughout Vergil’s Aeneid, non-Olympian gods, acting on behalf of Olympian gods, attempt to persuade mortals to undertake various destructive actions. Apart from Juturna (Book 12), non-Olympian gods such as Iris (Book 5), Somnus (Book 5), and Allecto (Book 7) are unable to persuade their audience with words alone and resort to their irresistible divine appearance or abilities to achieve their ends. Although these speeches rarely attract critical attention in their own right, we can be certain that Vergil complicates these episodes to convey information not only about the nature of the non-Olympian gods (and their relationship to mortals) but also about the character of the resisting mortals. In particular, I will demonstrate that Juturna is able to persuade the Rutulians to break the truce with the Trojans in Book 12 because she—both as a recent mortal and sister of Turnus—understands human behaviour, whereas the other non-Olympians fail precisely because their speeches do not reflect a true understanding of their audience’s humanity.
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 | 0.001 | 0.003 |
| 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) | 0.000 | 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".