Bibliographic record
Abstract
Although the reference to the horse Arion at the centre of Silvae 1.1, the encomiastic poem on Domitian’s equestrian statue, is brief (52–55), it nevertheless opens up different ways of reading the poem generically and politically. Arion played a significant role in the Thebaid as king Adrastus’ horse; in Silvae 1.1, Arion’s imagined reaction to Domitian’s equestrian statue offers an interpretive crux in the encomium. Through allusion to his own epic, Statius suggests a possible method of reading the first of his Silvae as a critical complement to his epic in contemporary Rome. Bien que la référence au cheval Arion au centre des Silves 1, 1 – le poème en l’honneur de la statue équestre de Domitien – soit brève (52–55), elle ouvre néanmoins différentes pistes pour une lecture générique et politique du poème. Arion joue un rôle significatif dans la Thébaïde , en tant que cheval du roi Adraste ; dans les Silves 1, 1, la réaction imaginée d’Arion devant la statue équestre de Domitien offre une clé d’interprétation de l’éloge. Par cette allusion à sa propre épopée, Stace suggère une possible lecture du premier de ses Silves comme un complément critique à son épopée dans la Rome contemporaine.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".