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Record W2319198898 · doi:10.1093/ehr/cew063

Thomas Becket and the Royal Abbey of Reading

2016· article· en· W2319198898 on OpenAlexaff
Rachel Koopmans

Bibliographic record

VenueThe English Historical Review · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsYork University
Fundersnot available
KeywordsCultReading (process)PoetryPossession (linguistics)LegendArtThe VenerablePilgrimageSAINTSuccessor cardinalLiteratureClassicsHistoryArt historyPhilosophyAncient history

Abstract

fetched live from OpenAlex

Abstract Drawing on a wide variety of evidence, including letters, charters, indulgences, poems, miracle stories, relic lists, and a stained-glass panel in Canterbury Cathedral, this essay examines how the monks of Reading Abbey reacted to the controversy between King Henry II and Thomas Becket in the late 1160s and the beginning of Becket’s cult in the 1170s and 1180s. Reading Abbey was founded and richly endowed by Henry II’s grandfather, Henry I. William the Templar, abbot of Reading from 1168–73, was, unsurprisingly, on the side of Henry II and Becket’s opponents. The sympathies of the prior of Reading and of at least one Reading monk, however, were with Becket’s supporters. After Becket’s death, this dissension continued. Abbot William banned pilgrimage to Canterbury, orders that his monks circumvented. Abbot William’s successor, Abbot Joseph (1173–86), had a very different outlook. He promoted Becket’s cult to an extraordinary degree, despite the fact that Reading Abbey was in possession of an important relic, the Hand of St James, which had been placed at Reading by the king himself. The story of Reading Abbey’s relationship with Thomas Becket provides new perspectives on the factionalism triggered by the Becket controversy, the strength of Becket’s early cult, and the devotional history of a major English Benedictine abbey.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.535
Threshold uncertainty score0.773

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.024
GPT teacher head0.217
Teacher spread0.193 · 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.

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

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

Citations3
Published2016
Admission routes1
Has abstractyes

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Same venueThe English Historical ReviewSame topicMedieval Literature and HistoryFrench-language works237,207