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Record W339037300 · doi:10.3138/cjh.43.2.227

Mishandled Vessels: Heaving Drinks and Hurling Insults in Medieval Welsh Literature and Law

2008· article· en· W339037300 on OpenAlexvenueno aff
Michael Cichon

Bibliographic record

VenueJournal of History · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies of British Isles
Canadian institutionsnot available
Fundersnot available
KeywordsWelshFeudInsultHonourLawHistoryGestureLiteratureSociologyArtClassicsPolitical scienceLinguisticsPhilosophyArchaeology

Abstract

fetched live from OpenAlex

“Mishandled Vessels” explores the gesture of insult in medieval Wales by means of a detailed examination of the intersection of literature, law and art. The article takes as its starting point the illustration of “sarhaed” or insult, in the mid-thirteenth-centry Welsh legal codex NLW Latin ms Peniarth 28. It then considers the attitudes which lie behind the gesture, namely those which anthropologists have identified as peculiar to cultures which feud, and charts them through select literary and legal texts. This investigation helps shed light on how the medieval Welsh dealt with the perceived shortage of honour in their culture.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.086
Threshold uncertainty score0.171

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0210.037
Scholarly communication0.0090.004
Open science0.0010.005
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.027
GPT teacher head0.198
Teacher spread0.171 · 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 designQualitative
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

Citations2
Published2008
Admission routes1
Has abstractyes

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