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Record W2060939901 · doi:10.7202/1014293ar

Heinrich Schütz's Musikalische Exequien: Evidence of Influence

2013· article· en· W2060939901 on OpenAlexaffvenue
Gregory S. Johnston

Bibliographic record

VenueCanadian University Music Review · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Influence and Diplomacy
Canadian institutionsCanadian University Music Society
Fundersnot available
KeywordsPraiseArtHistoryLiteratureArt historyClassics

Abstract

fetched live from OpenAlex

Heinrich Schütz's Musikalische Exequien (SWV 279-81), written for the funeral of Prince Heinrich Posthumus von Reuß in 1636, is generally regarded as one of his finest works. Oddly, though, the praise accorded the composition has come almost entirely from critics of the last fifty years, while it is thought to have had negligible resonance in the seventeenth century. The present article suggests that the Exequien may in fact have been used as a model for three compositions by Michael Wiedemann in 1693. Based on comparisons of the circumstances which occasioned the works, on the identification of numerous shared compositional processes exclusive to these works in the seventeenth-century funerary repertory, on certain professional motivations, and on the logistics of publishing and geography which would have made the Exequien available to Wiedemann, it becomes possible to suggest with reason that Schütz's Musikalische Exequien was not without influence in baroque Germany.

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)0.001
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: Empirical · Consensus signal: none
Teacher disagreement score0.738
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.055
GPT teacher head0.293
Teacher spread0.238 · 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
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
Published2013
Admission routes2
Has abstractyes

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