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Record W2008074979 · doi:10.1017/s0961137109000953

New music in the Office of Thomas Becket from the Diocese of Trier

2009· article· en· W2008074979 on OpenAlexaboutno aff
Estelle Joubert

Bibliographic record

VenuePlainsong and Medieval Music · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsnot available
Fundersnot available
KeywordsFifteenthMelodyMartyrHistoryArtLiteratureClassicsHumanitiesMusicalArchaeology

Abstract

fetched live from OpenAlex

ABSTRACT This article examines aspects of variation and transmission in the Office of Thomas Becket in the Diocese of Trier, Germany. Palaeographic evidence suggests that by the mid-fifteenth century, liturgical sources in Trier exhibited numerous transmission errors and disruptions in the modal scheme of the Thomas Office. However, a subset of late fifteenth- and early sixteenth-century manuscripts from St Florin and St Castor in Koblenz displays efforts to restore the theoretical modal scheme of the Office by composing new melodies for four items; the uniqueness of these items has been confirmed with the assistance of a large-scale electronic project cataloguing the Office of Thomas Becket across Europe, headed by Andrew Hughes at the University of Toronto. The present study provides a detailed melodic and modal analysis of the four newly composed items: the invitatory, Adsunt Thome martyris ; the fourth responsory for Matins, Post sex annos ; the ninth responsory for Matins, Iesu bone per Thome ; and the fourth antiphon for Lauds, Ad Thome memoriam . Numerous melodic allusions to the Office of St Gorgonius – a martyr also venerated in Koblenz from the turn of the fifteenth century – have been uncovered in the four newly composed items. The re-ordering of the modal schemes of the Thomas Office and the colourful array of musical and theological echoes and allusions between the Becket and Gorgonius Offices suggests a desire to establish, reflect and cultivate a local liturgical identity within the community in Koblenz.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.797
Threshold uncertainty score0.629

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)0.0010.000

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 head0.034
GPT teacher head0.219
Teacher spread0.185 · 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 teacher head, 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

Citations1
Published2009
Admission routes1
Has abstractyes

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