BEHIND THE SHIELD-WALL: THE EXPERIENCE OF COMBAT IN LATE ANGLO-SAXON ENGLAND
Bibliographic record
Abstract
Most studies of the Anglo-Saxon military examine its structural ties to economic and social structures, rarely investigating Anglo-Saxon battle itself. This paper asks the question 'What was it like to have been in battle with the Anglo-Saxon army?' After introducing the topic in a study of the 991 Battle of Maldon and describing the development of the Anglo-Saxon military system between the fifth and eleventh centuries, this paper relies on case studies of the most thoroughly-documented Anglo-Saxon battles, those of 1066--Fulford Gate, Stamford Bridge, and Hastings--to reconstruct the conditions of Anglo-Saxon combat and their effects on the men who fought in them. Based on these reconstructions, the study asks the further question of what sustained men through such terrible combat. These case studies not only provide a ground-level view of important military events but suggest the depths to which ideas of lordship and personal loyalty permeated Anglo-Saxon society.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.013 | 0.006 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".