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Record W2155225585 · doi:10.3138/flor.28.008

The Slaying of Sir William Pennington: Legal Narrative and the Late Medieval English Archive

2011· article· en· W2155225585 on OpenAlexaffvenue
Shannon McSheffrey

Bibliographic record

VenueFlorilegium · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsConcordia University
Fundersnot available
KeywordsPleaNarrativeContext (archaeology)PoliticsLawSWORDOrder (exchange)HistoryLiteratureClassicsArtPolitical scienceArchaeology

Abstract

fetched live from OpenAlex

On 20 April 1532, near the king’s palace at Westminster, two gentlemen, Richard Southwell, esquire, and Sir William Pennington, faced one another in a sword fight, a quarrel that ended in Pennington’s death. The slaying came at a sensitive time in Henry VIII’s reign, when much attention was focused on ‘the King’s Great Matter,’ his divorce of Katherine of Aragon and projected marriage to Anne Boleyn. The killing of William Pennington was bound up in those issues, one version of events depicting the genesis of the quarrel in an alleged disparagement of Anne Boleyn’s virtue. The official version, however, recorded on the rolls of the Court of King’s Bench, told a different story, one that omitted the larger political issues that underlay the quarrel between these two men, giving us important indications about how legal records were composed and used in premodern England to manage politically sensitive issues. The records of this affair reveal the use of both formal and informal channels, from local juries to the king’s council, for dealing with acts of violence in Henrician England, particularly those with serious political repercussions. These official and unofficial processes, and the records they generated, were tightly imbricated; although in a legal sense the plea roll at King’s Bench was more or less sufficient unto itself, politically its record worked only in tandem with the unofficial negotiations and manoeuvres behind the scenes. In turn, the political imperatives demanded that the formal processes be massaged, that the official record read in particular ways and not others regarding the facts of the case — which were probably not the ‘facts’ at all.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.132
Threshold uncertainty score0.261

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0180.012
Scholarly communication0.0070.004
Open science0.0010.004
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0100.002

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.

Opus teacher head0.019
GPT teacher head0.196
Teacher spread0.177 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2011
Admission routes2
Has abstractyes

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Same venueFlorilegiumSame topicMedieval Literature and HistoryFrench-language works237,207