Bibliographic record
Abstract
it is a curious fact that so much of the earliest Anglo-Latin poetry should have been riddles.Some 270 verse riddles were composed, mostly during the late seventh or eighth centuries, and their authors were some of the most learned and esteemed men of the age, including Aldhelm, Bishop of Sherborne (ca.705-710/11), the Venerable Bede (ca.672-735), Tatwine, Archbishop of Canterbury (ca.731-34), Boniface, Archbishop of Mainz (ca.745-54), and Alcuin of York (ca.735-804).1 The immediate and immense popularity of the riddle as a poetic genre in England arose out of the first AngloLatin collection: Aldhelm's Aenigmata, which was probably also the first major metrical work by someone who learned Latin as a distinctly foreign language.2 Aldhelm sent his Aenigmata, together with his own metrical treatises, to Aldfrith, King of Northumbria (r.685-705).3 His purpose was apparently to help others understand Latin metre by exemplifying the rules of versification expounded by the metrical tracts in a series of short, memorable poems in the form of riddles.The traditional chrono logy of Aldhelm's works does not seem to support the idea that he intended his Aenigmata to be teaching texts.Aldhelm probably composed his riddles long before either metrical treatise, even circulating a version of them before their publication alongside these didactic works.4 This early version has in fact survived in a few continental manu-1 For all these Latin riddles, see Orchard, The Old English and Anglo-Latin Riddle Tradition, 1:1-291, 2:1-313.2 For Aldhelm's Aenigmata, see Aldhelmi Opera, 97-149.On Aldhelm's place in the literary tradition, see Bolton, A History of Anglo-Latin Literature, 597-1066, 1:68-100; Lapidge and Rosier, Aldhelm: The Poetic Works, 19-24; Orchard, The Poetic Art of Aldhelm, 1-8.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 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".