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Record W2099551151 · doi:10.3138/flor.26.006

Old English Words for Relics of the Saints

2009· article· en· W2099551151 on OpenAlexvenueno aff
Christopher A. Jones

Bibliographic record

VenueFlorilegium · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsnot available
Fundersnot available
KeywordsVernacularOld EnglishCultScrutinyTerminologyVocabularyHistoryPeriod (music)ClassicsMiddle EnglishLiteratureLinguisticsArtAncient historyPhilosophyLawPolitical scienceAesthetics

Abstract

fetched live from OpenAlex

The resources of the Dictionary of Old English (DOE) have proven invaluable to historians of the earlier Middle Ages. The Microfiche Concordance assisted Sarah Foot, for example, as she has traced how shifts in the Old English terms mynster mynster “monastery, minster” and nunne “nun, vowess” expose fault-lines in Anglo-Saxon religious life that hardly show in Latin terminology of the period. Using the more recent, electronic versions of the DOE and its searchable Corpus, I seek in this paper to explain some patterns of vocabulary in another ecclesiastical sphere, the cult of saints. This vocabulary has received little attention, despite the acknowledged importance of relic-cults in the Anglo-Saxon Church and the large quantity of relevant material in Old English. Both Latin and vernacular terms for saints’ relics repay scrutiny. They are often less transparent than modern histories assume, and, like the monastic words studied by Foot, some Old English relic-terms reveal more than their Latin counterparts about prevailing religious customs.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.002

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 head0.017
GPT teacher head0.206
Teacher spread0.189 · 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

Citations3
Published2009
Admission routes1
Has abstractyes

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Same venueFlorilegiumSame topicMedieval Literature and HistoryFrench-language works237,207