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Record W4285545686 · doi:10.3726/med.2021.01.154

David R. Winter, <i>The Llanthony Stories: A Translation of the</i> Narrationes aliquot fabulosae. Toronto: Pontifical Institute of Mediaeval Studies, 2021, x, 173 pp.

2021· article· en· W4285545686 on OpenAlexaboutno aff
Scott G. Bruce

Bibliographic record

VenueMediaevistik · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsnot available
Fundersnot available
KeywordsWelshWitnessBishopsClassicsHistoryLiteratureGenealogyArtPhilosophyArchaeologyLawLinguisticsPolitical science

Abstract

fetched live from OpenAlex

Abstract: This slim volume provides a single-text Latin edition and English translation of a fragmentary collection of pithy moral tales composed in the first decades of the thirteenth century. While the seventeenth-century cataloguer of the sole manuscript that preserves them called these stories Narrationes aliquot fabulosae (“Some fanciful tales”), the editor of the present volume has renamed them The Llanthony Stories to reflect the fact that the collection originated at the Augustinian priory of St. Mary of Llanthony in Gloucester. The Llanthony Stories comprise thirty-five short anecdotes featuring a number of well-known historical persons, including kings, bishops, and crusaders, as well as nameless characters of lesser ranks. Many of these stories (or versions thereof) have analogues in contemporary exempla collections attributed to Jacques de Vitry, Caesarius of Heisterbach, and Odo of Chariton, though several are unique to this collection. Taken together, these tales provide “an important and hitherto little noticed witness to ecclesiastical and public life in the Welsh Marches in the decades bracketing 1200” (2).

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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: none
Teacher disagreement score0.844
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.044
GPT teacher head0.270
Teacher spread0.226 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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