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Exemplary Intentions Two English Dominican Hagiographers in the Thirteenth Century and the Preaching through <i>exempla</i>

2008· article· en· W2111445139 on OpenAlexaff
Sebastian Sobecki

Bibliographic record

VenueNew Blackfriars · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsMcGill University
Fundersnot available
KeywordsOrder (exchange)Character (mathematics)LiteraturePoint (geometry)Latin AmericansHistoryArtMiddle EnglishClassicsPhilosophyLinguisticsMathematics

Abstract

fetched live from OpenAlex

Abstract The exemplum is a short edifying tale that uses a historical person's positive or negative character traits to make a moral point. Its homiletic suitability ensured the genre's widespread use throughout premodern Europe. Not only were exempla effective preaching instruments on which a travelling friar could rely, but they also were extremely elastic in their application. A closer look at two late thirteenth-century English texts, Ralph Bocking's Latin Life of St Richard of Chichester (Vita sancti Ricardi) and the Life of St Dominic in the anonymous South English Legendary, a Middle English cycle of saints' lives, will explore two original ways in which mendicant hagiographers attempt to conceal and yet betray their intentions through their choice of hagiographic exempla. The first, I argue, petitions the patron, Isabella of Arundel, for a gift to the Order of Preachers, whereas the second text shows evidence of having been composed by a Dominican friar.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.071
Threshold uncertainty score0.141

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0150.010
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.025
GPT teacher head0.227
Teacher spread0.202 · 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 designQualitative
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

Citations2
Published2008
Admission routes1
Has abstractyes

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