Bibliographic record
Abstract
Manuscript Cotton Nero A.x takes its designation from the unique cataloging system of seventeenth-century British antiquarian Sir Robert Cotton’s library: busts of historical figures atop shelves provided the organizing principle, such that one found this particular codex under the bust of Roman Emperor Nero, on the top shelf, ten volumes over. (Another famous manuscript, containing Beowulf, is called Cotton Vitellius A.xv.) Cotton Nero A.x contains the only versions of the poems we now know as Pearl, Cleanness, Patience, and Sir Gawain and the Green Knight, generally agreed to have been composed sometime in the latter half of the fourteenth century—the time of Piers Plowman and Geoffrey Chaucer, though radically different from either. No one knows who the poet was. No one knows if more than one poet wrote some or all of the poems. Together, they present a stunning array of themes, allegories, and images that critics continue to puzzle over: Patience offers a psychologically complex rendering of the Old Testament story of Jonah and the whale; Cleanness explores its homiletic theme in carnal and spiritual terms with complexity, irony, and even humor; Pearl provides a dream allegory that pushes at the distinction between its earthly and heavenly meanings, challenging the very notion of metaphysical transcendence its form seems to point towards. Finally, Sir Gawain and the Green Knight, the most secular of the poems, is a sophisticated take on Arthurian legend that unfolds like a psychosexual mystery novel, with no easy solution in sight. All the poems are rendered in a difficult Middle English dialect and intricate alliterative form, which sometimes involves a complex rhyme scheme as well. As poet-medievalists, we bow before the poetic achievement of the works in Cotton Nero A.x in all their multi-faceted richness. This is not a translation, nor an interpretation. It is what might be called a trace. A response. A homework assignment from beyond the grave, for four students who should have known better. A dream we hope to dream.
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.436 | 0.223 |
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".