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Record W2141681356 · doi:10.1017/s0003581500000123

‘King Arthur’ and Cadbury Castle, Somerset

2006· article· en· W2141681356 on OpenAlexaff
Dai Morgan Evans

Bibliographic record

VenueThe Antiquaries Journal · 2006
Typearticle
Languageen
FieldArts and Humanities
TopicScottish History and National Identity
Canadian institutionsKwantlen Polytechnic University
FundersSociety of Antiquaries of London
KeywordsInterpretation (philosophy)HistoryIdentification (biology)PoliticsExcavationDocumentary evidenceClassicsArchaeologyGenealogyLawPolitical sciencePhilosophyLinguistics

Abstract

fetched live from OpenAlex

The major excavations at Cadbury Castle, Somerset, which took place in the 1960s, owed their inspiration in part to the identification of the site as ‘Camelot’, thus forging an association with ‘King Arthur’. John Leland, the sixteenth-century antiquary, was the author of this identification and this paper considers how he might have arrived at this conclusion. Factors identified include the role in Tudor politics of ‘King Arthur’ and of the owners of the site – the Hastings family. Consideration of the evidence of later writers on the site, both national and local, shows their almost total dependence on Leland's original description, but the evidence of the Hereford Mappa Mundi suggests a new dimension. It is suggested that the interpretation of the archaeology of the site would benefit from a clearer understanding of John Leland's description and of Tudor and Stuart activity at the site .

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.790
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.020
GPT teacher head0.211
Teacher spread0.190 · 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

Citations1
Published2006
Admission routes1
Has abstractyes

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