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Record W2979477994 · doi:10.1017/s0261143019000229

Corvus Corax: medieval rock, the minstrel, and cosmopolitanism as anti-nationalism

2019· article· en· W2979477994 on OpenAlexaff
Kirsten Yri

Bibliographic record

VenuePopular Music · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsMiddle AgesNationalismGermanCosmopolitanismContext (archaeology)LiteraturePoliticsArtHistorySociologyArchaeologyLawPolitical science

Abstract

fetched live from OpenAlex

Abstract This article explores the German band Corvus Corax and their reinterpretion of the Middle Ages as a creative answer to Germany's problematic history of nationalism. Invoking the community ideals and ideological values of the 1960s and 1970s, which, in the context of the GDR took on even more significance, Corvus Corax borrowed ‘authentic’ medieval texts and melodies, rendering them in acoustic arrangements inspired by medieval performance practices. In short, German ‘folk’ bands invented ‘medieval’ rock to sidestep Nazi connotations with the word ‘folk’. Besides invoking the semantic shift from ‘folk’ to ‘medieval’, I argue that the band adopts the figure of the medieval minstrel and asserts that his multilingual texts, ‘foreign’ instruments and colourful performance practices speak to an inclusive, diverse and cosmopolitan community. Paradoxically, they do so by first positioning the medieval minstrel as a punked-up, marginalised ‘outcast’. The cultural capital of this outcast status helps medieval rock bands like Corvus Corax carve out a space for marginalised voices who, in their new privileged positions, offer a form of retribution for politics of exclusion, racism and authoritarianism.

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: none
Teacher disagreement score0.016
Threshold uncertainty score0.033

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 studies0.0040.017
Scholarly communication0.0060.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.024
GPT teacher head0.209
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 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

Citations3
Published2019
Admission routes1
Has abstractyes

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