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Medievalism and Antiromanticism in Carl Orff’s Carmina Burana

2020· reference-entry· en· W3011924455 on OpenAlexaff
Kirsten Yri

Bibliographic record

Venuenot available
Typereference-entry
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsMedievalismStyle (visual arts)Interpretation (philosophy)PoetryMusicalLiteratureArtMiddle AgesRomanceHistoryPhilosophyAncient historyLinguistics

Abstract

fetched live from OpenAlex

This chapter traces Orff’s musical medievalism along several trajectories. Against the backdrop of “official” medievalism espoused under Wilhelmine Germany and under the National Socialists, the chapter examines the influence of medieval organum and paraphony on Orff’s compositional idiom. It also distinguishes this influence from a form of medievalism that can be described as style, where sacred medieval musical forms are imitated for their associative meanings. Though these styles are altered somewhat to fit Orff’s compositional purpose, they are by and large recognizable as pastiche and, as such, provide another level of interpretation for the poetry. Pastiche is also apparent in Orff’s use of two-storied medievalism, in which the primary reference is not to medieval materials per se, but rather to an intermediary form of medievalism, namely, to familiar musical styles associated with medievalism in nineteenth-century Germany. Examining Orff’s allusions to various medieval musical styles against an interpretation of the poetry, the chapter suggests that Carmina Burana voices a parody of the romantic, imperial, and idealistic medievalism of the late nineteenth century.

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: Other · Consensus signal: none
Teacher disagreement score0.027
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0080.008
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.049
GPT teacher head0.245
Teacher spread0.196 · 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
Published2020
Admission routes1
Has abstractyes

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