Palaeographic preferences and manuscript contexts of a mid-eleventh-century English legal collection: London, British Library Cotton MS Nero A I (part A)
Bibliographic record
Abstract
This article examines the codicological and palaeographical features of London, British Library Cotton MS Nero A I, fols 3-57 (part ‘ A’), a collection of Anglo-Saxon laws and related texts produced in the third quarter of the eleventh century. Part ‘ A’ itself may have been a composite, with one of the exemplars comprising a self-contained copy of the I-II Cnut law-code and the other being a collection showing interest in the role and duties of judges as well as in the law itself. Detailed study of the codicological features and palaeographic preferences of the contributing scribes allows some of the manuscript’s complex stratigraphy to be unravelled. The production and use of the manuscript demonstrate how scribes and readers continually re-invented both texts and books to suit their ends.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".