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Record W4393963915 · doi:10.1515/9781846155307

The Culture of Medieval English Monasticism

2007· book· en· W4393963915 on OpenAlexaboutno aff

Bibliographic record

VenueBoydell and Brewer eBooks · 2007
Typebook
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsnot available
Fundersnot available
KeywordsMonasticismHistoryAncient historyPhilosophyArt

Abstract

fetched live from OpenAlex

Examinations of the culture - artistic, material, musical - of English monasteries in the six centuries between the Conquest and the Dissolution. The cultural remains of England's abbeys and priories have always attracted scholarly attention but too often they have been studied in isolation, appreciated only for their artistic, codicological or intellectual features and notfor the insights they offer into the patterns of life and thought - the underlying norms, values and mentalité - of the communities of men and women which made them. Indeed, the distinguished monastic historian David Knowles doubted there would ever be sufficient evidence to recover "the mentality of the ordinary cloister monk". These twelve essays challenge this view. They exploit newly catalogued and newly discovered evidence - manuscript books,wall paintings, and even the traces of original monastic music - to recover the cultural dynamics of a cross-section of male and female communities. It is often claimed that over time the cultural traditions of the monasteries were suffocated by secular trends but here it is suggested that many houses remained a major cultural force even on the verge of the Reformation. James G. Clark is Professor of History at the University of Exeter. Contributors: DAVID BELL, ROGER BOWERS, JAMES CLARK, BARRIE COLLETT, MARY ERLER, G. R. EVANS, MIRIAM GILL, JOAN GREATREX, JULIAN HASELDINE, J. D. NORTH, ALAN PIPER, AND R. M. THOMSON.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.035
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.016
Scholarly communication0.0090.003
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.015
GPT teacher head0.197
Teacher spread0.182 · 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 designTheoretical or conceptual
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

Citations24
Published2007
Admission routes1
Has abstractyes

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