Bibliographic record
Abstract
The Anglo-Saxon invasion of Britain in the fifth and sixth centuries is typically a story of slaughter anddestruction. This is largely because Gildas, the only known contemporary to write about the events,portrayed it as such, and subsequent writers have taken his interpretation as fact. However, Gildas wasnot a historian, nor did he claim to be. Modern archeological research has proven that Gildas exaggeratedmuch of the destruction he claims took place, but this has not changed the popular notion that theAnglo-Saxons conquered and subdued the native Britons. However, the literature, art, and language ofthe Saxons and the Britons prior to and during the Anglo-Saxon period indicates the two peoples musthave joined together in more than just war. However, the question remains: to what extent did thisaffect the peoples, and the culture that emerged from this period? This paper uses an interdisciplinaryapproach. First, it uses archeological evidence to critically examine the modern historiographicevidence for the conquer-and-destroy model of Anglo-Saxon colonization. It then uses literary analysisto demonstrate the Celtic story-telling influences in the Anglo-Saxon literary opus Beowulf, and finallyconsiders the linguistic evidence of Celtic language influences on Old English. Ultimately, though theAnglo-Saxon language (Old English) emerged as the dominant language of the island, there was far morecultural exchange between the two peoples than has previously been acknowledged. This is crucial tounderstanding this important era of British history and the development of British-English culture.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".