On the Lost Years of William Beauchamp, First Baron Bergavenny (c. 1343–1411): Some Overlooked Life-Records
Bibliographic record
Abstract
William Beauchamp, the fourth son of Thomas, earl of Warwick (d. 1369), was initially destined for a career in the Church, but he returned to the active life, becoming a chamberlain to the young Richard II, a captain of Calais, and a friend of Chaucer. After leaving Oxford in 1361, William seemingly disappeared from the historical record until he reappeared fighting for the Black Prince and John of Gaunt in Spain in 1367. This paper examines three newly noticed Beauchamp life-records in the calendar of papal registers. In so doing, it explores the early composition of Beauchamp’s household, his probable involvement in a 1365 crusade, and his possible encounter with a major figure in fourteenth-century politics and piety.
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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 | 0.001 | 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) | 0.022 | 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".