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Record W2154622710 · doi:10.3138/flor.22.005

Boccaccio’s <i>Decameron</i> 6.10 and Chaucer’s <i>Canterbury Tales</i> VI.287-968: Thinking on Your Feet and the Set-Piece

2005· article· en· W2154622710 on OpenAlexvenueno aff
Carol F. Heffernan

Bibliographic record

VenueFlorilegium · 2005
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsnot available
Fundersnot available
KeywordsPrologueTheme (computing)LiteraturePoetryStorytellingHistoryArtNarrative

Abstract

fetched live from OpenAlex

Both Boccaccio, in his Decameron, and Chaucer, in The Canterbury Tales, place sermons deliveredby highly skilled preachers very nearly at the centre of their story collections. Boccaccio’s Fra Cipolla appears in Decameron 6.10 and Chaucer’s Pardoner, in Canterbury Tales, VI.287-968 (“The Pardoner’s Prologue and Tale”)—according to the order of the tales most widely adopted in modern editions, that of the Ellesmere manuscript (San Marino, California, Huntington Library MS EL. 26. C. 9). Boccaccio gives particular emphasis to the importance of his Cipolla by placing the master preacher in the last tale told on the sixth day of storytelling (the day when wit is the common theme of all ten tales). Chaucer’s preacher appears in the tale preceding Fragment VII of the Canter-bury Tales; it is in Fragment VII that poetic language becomes a central theme. In both Boccaccio’s Decameron 6.10 and Chaucer’s Canter-bury Tales VI.287-968, words are power, and in both tales it is significant that those words appear in sermons, a popular form of medieval literature listened to byliterate and illiterate, aristocrats and lowly alike. Preachers of sermons in the Middle Ages were as much literary figures as were storytellers; they competed with the secular entertainers for the attention of popular audiences and resorted to “artifices similar to those of their old rivals.”My concern this essay is to compare the oratorical performances of Fra Cipolla and the Pardoner — one an improvisation and the other, a feat of memory. Memorized delivery assures coherence and exactness; impromptu speech has the virtue of naturalness and liveliness. Quintilian, one of the classicalrhetoricians admired in the Middle Ages and actually named in Boccaccio’s tale, favoured the well-memorized speech because it could be made to seem extempore. The coincidence in genre, character, theme, and placement of Boccaccio’s Decameron 6.10 and Chaucer’s Canterbury Tales VI.287-968 becomes especially interesting if there is even a chance that Chaucerknew the Decameron and its tale of Fra Cipolla.

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)0.000
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.139
Threshold uncertainty score0.276

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.006
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0540.014

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 head0.019
GPT teacher head0.218
Teacher spread0.198 · 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
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

Citations1
Published2005
Admission routes1
Has abstractyes

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