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Record W4411790741 · doi:10.31722/ejmd.1527373

SACREDNESS IN SECULARITY: THE USE OF DANCE FORMS IN ST. MATTHEW PASSION

2025· article· en· W4411790741 on OpenAlexaff
Patrick Huang

Bibliographic record

VenueEurasian Journal of Music and Dance · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicReformation and Early Modern Christianity
Canadian institutionsWestern University
Fundersnot available
KeywordsSecularityPassionDancePhilosophyAestheticsArtSociologyReligious studiesLiteraturePsychologySocial psychology

Abstract

fetched live from OpenAlex

Written by Johann Sebastian BACH in 1727, St. Matthew Passion (Latin: Passio Domini nostri J. C. secundum Evangelistam Matthaeum, BWV 244) is arguably the most influential sacred oratorio during the Western music history. Unlike the stereotypical Gregorian-style hymns that flourished in the Middle Ages (which is still used in this passion mainly for the Evangelical parts), St. Matthew Passion largely applied ‘secular’ tunes, notably the dance forms, into a sacred religious context. With such question about this seemingly unusual layout, my essay will mainly describe the historical thoughts of music on Early Christian period, the Lutheran reformation on religious music, then followed by a brief analysis of St Matthew passion with the emphasis of its dance forms, in order to further understand the musical, philosophical and aesthetics value of this remarkable composition, and furthermore, the understanding of the general trend of thoughts on music and religion in Early Modern (Protestant) 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 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)0.001
metaresearch head score (Gemma)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.012
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.052
GPT teacher head0.242
Teacher spread0.190 · 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
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
Published2025
Admission routes1
Has abstractyes

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