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Record W2050064674 · doi:10.7202/1014310ar

Conductus as Analgesic

2013· article· en· W2050064674 on OpenAlexaffvenue
Bryan Gillingham

Bibliographic record

VenueCanadian University Music Review · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsCanadian University Music Society
Fundersnot available
KeywordsLiturgyLaughterRedressHoly SeeLiteratureMiddle AgesNotationHistoryArtOrder (exchange)PoetryClassicsPhilosophyLinguisticsTheologyAncient history

Abstract

fetched live from OpenAlex

One of the difficulties in creating an adequate picture of the contextual situation for music, other than that clearly associated with the liturgy, in the Middle Ages, is the paucity of accounts describing performance circumstances. We know little about the social milieu and purposes attending genres marginal to the liturgy such as the conductus and thirteenth-century motet. A manuscript which seems to redress this problem, albeit for one very specific instance, is Vat. lat. 2854 in the Vatican library in Rome. This manuscript is unusual in that it contains not only music but a detailed account of why the music was written. The author, Bonaiutus de Casentino, active in the circle of Pope Boniface VIII, prepared the manuscript in the last decade of the thirteenth century at Rome. The document includes various poems, sacred and secular, as well as two Latin songs written in late Franconian notation. One of the pieces is a two-voice conductus ( Hec medela corporalis ) which was written, according to the account of Bonaiutus himself, in order to cure the maladies of an ailing pontif. The pontifical complaints seemed to be both psychological and intestinal in nature. It was the hope of Bonaiutus not only to provoke laughter (always a curative), but also to cleanse the papal bowels through his composition. Although one cannot generalize on the basis of this single incident, it does yield a fascinating glimpse into a possible venue for the conductus.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.234
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.1290.007

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 head0.031
GPT teacher head0.178
Teacher spread0.147 · 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; both teacher heads agree on what is shown here.

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
Published2013
Admission routes2
Has abstractyes

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