Bibliographic record
Abstract
In the Aeneid’s first simile Vergil compares Neptune calming raging storm winds to a Roman magistrate who pacifies a seditious crowd threatening arson and stone throwing ( Aeneid 1.148-53). The mere sight of the man, someone “of consequence because of his deserved reputation for responsibility,” causes the crowd, like a pack of animals with their ears pricked up, to stand still. The orator then “rules their souls with his words and soothes their hearts.” The epic’s first extended trope offers the image of the power of an orator to bridle the passions of an unruly, plebeian mob. Rhetoric here contains dangerous elements in Roman society, putting anarchic forces back into their place like the winds that Aeolus released from their cages. A member of the elite vested with personal authority uses speech to control internal threats to the state. It is a process where the top strata of society rein in those at the bottom, and speech suppresses wild disruptions. Vergil turns a central trope within Republican Roman rhetoric inside out – exchanging what is figurative (the political storms roiling the state) for literal tempests, while the real presence of the orator becomes, in more than one sense, a figure of speech. The reduction of the Republican orator (or, at least, a version of the Republican orator) to an image within the Aeneid is symbolic of a cultural shift that took place under the age of Augustus, a regime whose ascendancy Vergil’s poem heralds. In the Aeneid the orator is an artifact from an earlier age, a person whose previous political and cultural importance has passed into memory. This essay will explore both the special role of oratory within the Roman Republic and, chiastically, how the Republic figures within Roman oratory.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.021 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".