Statius’ <i>Silvae</i> and Paracorporal Roman Elegy in Early Tudor England
Bibliographic record
Abstract
The resident poets attached to court of the Tudor kings Henry VII (r. 1485–1509) and his son Henry VIII (r. 1509–44)—predominantly trained in Italy, with the exception of the English Laureate John Skelton (ca. 1460–1529)—manifest a considerable attachment to the Silvae of P. Papinius Statius (d. ca. 96), as evidenced by their quotations, reworkings, and imitations of matter from the corpus of Statius’ ex tempore verse. The same early Tudor poets similarly used an array of paracorporal Roman elegy—the Panegyricus Messallae and other items of the Corpus Tibullianum; the Consolatio ad Liviam and related Elegiae in Maecenatem—inaccessible before print, but brought to their attention by the same set of interrelated Italian incunabular editions from which they had acquired familiarity with Statius’ newly recovered Silvae.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.009 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".