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Record W6991515152

History of the Dukes of Normandy and the Kings of England by the anonymous of Bethune

2021· article· en· W6991515152 on OpenAlexaboutno aff

Bibliographic record

VenueORCA Online Research @Cardiff (Cardiff University) · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsnot available
Fundersnot available
KeywordsReignFlemishEleventhQuarter (Canadian coin)Period (music)KingdomMiddle Ages
DOInot available

Abstract

fetched live from OpenAlex

In the first quarter of the thirteenth century, an anonymous Flemish writer set in writing, in Old French, a chronicle of Normandy, England, Flanders and northern France. It ranged from the arrival of the Vikings in Normandy to the early years of the reign of King Henry III of England, ending with an account of the translation of the relics of St Thomas Becket to their magnificent new shrine in Canterbury Cathedral in 1220. Along the way, it adopted and formed part of a tradition of writing of the history of the dukes of Normandy and kings of England, a tradition which had developed in Latin in the eleventh and twelfth centuries, and then continued in Old French. The work is famous for vibrant and informed description of the reign of King John, in particular the period of baronial reaction, Magna Carta, ensuing civil war and the nearly-successful invasion of England by Louis, heir to the kingdom of France. Flanders supplied troops to both sides, and this Flemish author sees these events in close detail, and from the Flemish, not the French or English, point of view. He may himself have been an eyewitness, directly involved, but if not he would have known many who had fought and died in this conflict. Janet Shirley’s translation of this chronicle, the first into English, brings the work of the Anonymous of Béthune to a new audience in this volume, accompanied by an introduction and historical notes by Paul Webster.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.735
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.034
GPT teacher head0.223
Teacher spread0.189 · 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 teacher head, not a consensus.

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

Citations0
Published2021
Admission routes1
Has abstractyes

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