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Record W4390687607 · doi:10.1017/9781800109353.020

Professional recitation before the fourteenth century

2023· other· en· W4390687607 on OpenAlexaff

Bibliographic record

Venuenot available
Typeother
Languageen
FieldArts and Humanities
TopicReformation and Early Modern Christianity
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMathematics educationArtVisual artsHistoryComputer sciencePsychology

Abstract

fetched live from OpenAlex

The joglars as wanderers or travellers The one substantial body of medieval poetry that almost everyone agrees was regularly performed by professionals is that of the troubadours, the poets who composed love lyrics and satires in Old Occitan (or, as it is still sometimes called, Old Provencal) from the eleventh to the thirteenth centuries, and sometimes later, and their professional reciters, the joglars . On the whole, poets working in English seem to have drawn more heavily on Northern French traditions, often transmitted through Anglo-Norman works, but England maintained extensive ties to the south, above all in Aquitaine, which remained an English possession until 1453. The practice of the joglars may, therefore, provide insights into the later practice of the English minstrels. The distinction between troubadour and joglar was never a firm one. An impecunious troubadour might act as his own joglar , a gifted joglar compose his own material. It also seems likely that during their own lives many a joglar and many a troubadour would have performed a variety of functions at the court; the categories impose an artificial clarity. The vidas , or short life stories, of the troubadours provide numerous examples of less fortunate troubadours who travelled the country reciting their own verse. The more desirable pattern, however, at least for the more prosperous, was to entrust the performance to a professional singer, the joglar . Many of the joglars are identified in the final lines of the poems, as when Bertran de Born concludes his plaint Dompna, puois de mi no’us cal (‘Lady, since you don't care for me’) by calling on his joglar Papiol to visit the lady. The other rich source of information about these singers is found in the sirventes joglaresc and enshamen-sirventes (satires against joglars and satires to teach joglars ), in which a troubadour heaps abuse, often in the guise of instruction, on his own performer. Thus we hear, for example, the Catalan nobleman Guera de Cabrera complaining that his joglar Cabra (Goat) cannot play the veille properly, nor sing well, nor leap like the Gascon joglars , and is ignorant of a long list of songs, including those on famous heroes such as Augier (Ogier the Dane), Olivier (Roland's companion), and Girart de Rossillon (the hero of a famous chanson de geste ).

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)0.003
metaresearch head score (Gemma)0.007
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: Other · Consensus signal: Other
Teacher disagreement score0.019
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0080.010
Scholarly communication0.0070.003
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0140.004

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 head0.029
GPT teacher head0.247
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
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

Citations0
Published2023
Admission routes1
Has abstractyes

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