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Record W4383226901 · doi:10.1080/03044181.2023.2230581

A monastic angelology in stone: the sculpted angels at Conques

2023· article· en· W4383226901 on OpenAlexaff
Kristine Tanton

Bibliographic record

VenueJournal of Medieval History · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Religious Studies of Rome
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsExegesisThe VenerableContemplationSculptureIdentity (music)MonasticismSubject (documents)ArtPenitentialLiteratureHistoryPhilosophyClassicsAncient historyAestheticsArt historyTheology

Abstract

fetched live from OpenAlex

In the Middle Ages, angels were a constant presence and participated with the faithful in praising God. Due to the manifold roles played by angels in Christian theology, it is not surprising that they were a popular subject for church decoration. At the abbey church of Sainte-Foy at Conques, the attention paid to and regard for angels was expressed to an exceptional degree and therefore provide an excellent case study through which to understand how monumental sculpture communicated monastic identity and exegesis. This article considers the formal attributes and spatial arrangement of the sculpted angels at Conques as they relate to early medieval monastic conceptions of angels’ function and role within the heavenly community, providing the monks with a celestial model to negotiate the boundaries between the active and contemplative life as articulated by Gregory the Great and the Venerable Bede.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.014
Scholarly communication0.0040.002
Open science0.0000.003
Research integrity0.0010.001
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 head0.041
GPT teacher head0.228
Teacher spread0.187 · 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 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
Published2023
Admission routes1
Has abstractyes

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