Bibliographic record
Abstract
On the evening of Thursday 13 June 1381 a large armed band broke into the Hospitallers’ priory at Clerkenwell and set it and the many houses around it on fire, beheaded several people and plundered documents, goods and money from the house. The leader of this band was one Thomas Farndon or Farringdon of London, who had been one of the leaders of the rebels. After sacking Clerkenwell priory, Farndon and other rebels spent the night drawing up a ‘black list’ of those in the government that they wanted dead. On Friday 14 June Jack Straw and other rebels, including some of those who had attacked Clerkenwell, burned down Highbury Manor, the property of the prior of the Hospital in England, and looted it. Farndon and his associates then went to the Tower of London, where they seized the chancellor Archbishop Simon Sudbury of Canterbury (the chancellor of England), the treasurer Robert Hales prior of the Hospital in England (treasurer of England), John Cavendish the chief justiciar and other leading royal officials, marched them out to Tower Hill and beheaded them. This article examines why Robert Hales and the Hospitallers became the target of the angry 'peasants' in 1381. It concludes that the Hospital as a religious order and a landowner, alongside other religious orders and landowners, and because of its role as a sort of government financial office. Hales, however, was thoroughly hated; and this article examines why this was so.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.044 | 0.038 |
| Scholarly communication | 0.016 | 0.006 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.010 | 0.017 |
| Insufficient payload (model declined to judge) | 0.043 | 0.004 |
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".