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Record W2483478044 · doi:10.1484/m.sem-eb.3.3773

Ælfric’s Manuscript of Paul the Deacon’s Homiliary: A Provisional Analysis

2007· book-chapter· en· W2483478044 on OpenAlexaboutno aff
Joyce Hill

Bibliographic record

VenueStudies in the early Middle Ages · 2007
Typebook-chapter
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsnot available
Fundersnot available
KeywordsHomilyEleventhQuarter (Canadian coin)HistoryOld EnglishScholarshipRhetoricClassicsStyle (visual arts)Interpretation (philosophy)LiteratureArtPhilosophyTheologyArchaeologyLinguisticsLaw

Abstract

fetched live from OpenAlex

The quarter-century that has passed since Paul Szarmach’s and Bernard Huppé’s groundbreaking The Old English Homily and its Backgrounds (1978) has seen staggering changes in the field of Anglo-Saxon homiletics. Primary materials have become accessible to scholars in unprecedented levels, whether digitally or through new critical editions, and these have generated in turn a flood of secondary scholarship. The articles in this volume showcase and build on these developments. The first five essays consider various contexts of and infuences on Anglo-Saxon homilies: patristic and early medieval Latin sources, continental homiliaries and preaching practices, traditions of Old Testament interpretation and adaptation, and the liturgical setting of preaching texts. Six studies then turn to the sermons themselves, examining style and rhetoric in the Vercelli homilies, the codicology of the Blickling Book, sanctorale and temporale in the works of Ælfric, and the challenges posed by Wulfstan’s self-referential corpus. Finally, the last entries take us past the Conquest to discuss the re-use of homiletic material in England and its environs from the eleventh to eighteenth century. Together these articles offer medieval scholars a new Old English Homily, one that serves both as an introduction to key figures and issues in the field and as a model of studies for the next quarter-century.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.809
Threshold uncertainty score0.782

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.144
GPT teacher head0.285
Teacher spread0.141 · 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

Citations7
Published2007
Admission routes1
Has abstractyes

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