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Record W1520204215 · doi:10.3138/flor.21.008

Reflections of the Book of Job and Gregory’s <i>Moralia</i> in Chaucer’s “Monk’s Tale”

2004· article· en· W1520204215 on OpenAlexaffvenue
Douglas Wurtele

Bibliographic record

VenueFlorilegium · 2004
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsCarleton University
Fundersnot available
KeywordsRepentanceHomilyPortraitConfession (law)TheologyLiteratureArtHistoryClassicsPhilosophyArt history

Abstract

fetched live from OpenAlex

In one of the crucial scenes in James Joyce’s A Portrait of the Artist as a Young Man an appalled Stephen Dedalus is listening to the Lenten homily on the pains of hell that await unrepentant sinners. The Jesuit preacher is implicitly echoing the same despairing outcries from Righteous Job about the darkness of hell that Chaucer’s Pilgrim-Parson explicitly recalled on the road to Canterbury some five centuries before. The two preachers have the same purpose: to arouse so overwhelming a sense of contrition in the sinner that heartfelt repentance and unrestrained confession will pour out. Both are also well aware of the central place occupied in the Office of the Dead by lectiones from the Book of Job. As Lawrence Besserman explains, Job became "the principal biblical figure in the fully developed Office of the Dead of the High Middle Ages," and the text of the office in use at Salisbury Cathedral, the so-called Sarum Use, well known of course to Chaucer, "had gained wide acceptance and had what amounted to official recognition from Rome.".

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)0.003
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.036
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.014
Scholarly communication0.0060.003
Open science0.0010.002
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0080.001

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 head0.242
Teacher spread0.218 · 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
Published2004
Admission routes2
Has abstractyes

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Same venueFlorilegiumSame topicMedieval Literature and HistoryFrench-language works237,207