Bibliographic record
Abstract
Pride and Prodigies Studies in the Monsters of the Beowulf-Manuscript'Then there came from the moor, under the misty slopes, Grendel approaching: he bore the wrath of God.* Monsters and the monstrous, whether from the remote pagan past or the new world of Christian Latin learning, haunted the Anglo-Saxon imagination in a variety of ways.In this series of detailed studies, Andy Orchard demonstrates the changing range of Anglo-Saxon attitudes towards the monstrous by reconsidering the monsters of Beowulf against the background of early medieval and patristic teratology and with reference to specific Anglo-Saxon texts.The immediate manuscript context of the monsters in Beowulf is analysed, shedding light on the poet's treatment of the theme of the monstrous and its integration into his work, and a series of parallel discussions consider a range of medieval treatments of the same theme in a variety of analogous texts (all provided with translation) in Latin, Old English, Middle Irish, and Old Icelandic.The twin themes of pride and prodigies are suggested by tracing changing attitudes towards the concept of pride and establishing a close link between the proud pagan warriors depicted in Christian tradition and the monsters they fight, and with whom they become increasingly identified.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.046 | 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 teacher head, 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".