Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".