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Record W2737180989 · doi:10.21083/csieci.v11i1-2.3718

Sounding like a Mad Hatter: Ernst-Ludwig Petrowsky and the Beginnings of Jazz Experimentalism in East Germany

2017· article· en· W2737180989 on OpenAlexaffvenue
Harald Kisiedu

Bibliographic record

VenueCritical Studies in Improvisation / Études critiques en improvisation · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicArts, Culture, and Music Studies
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsExperimentalismJazzIdeologyContext (archaeology)AestheticsRealismArt historySociologyHistoryArtLiteraturePhilosophyEpistemologyPolitical scienceLawPolitics

Abstract

fetched live from OpenAlex

This article illuminates the beginnings of jazz experimentalism in the German Democratic Republic (GDR) during the 1960s by focusing on one of its critically important proponents: multi-reedist and improviser Ernst-Ludwig Petrowsky. I situate Petrowsky’s engagement with jazz experimentalist practices within the context of politico-aesthetic debates surrounding jazz in East Germany that were decisively informed by the notion of socialist realism. Focusing on his work with pianist Joachim Kühn and Ensemble Studio 4, I explore the difficulties these jazz experimentalists faced under the ideological constraints imposed by GDR cultural policy makers during the height of the Cold War. Moreover, emphasizing the conditions in the East German state socialist system, I reconstruct the critical reception of post-war jazz in the GDR and discuss Petrowsky’s engagement with African-American experimentalism during the 1960s.

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)0.005
metaresearch head score (Gemma)0.004
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 score0.010
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.039
Scholarly communication0.0070.006
Open science0.0010.006
Research integrity0.0020.004
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 head0.098
GPT teacher head0.440
Teacher spread0.342 · 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
Published2017
Admission routes2
Has abstractyes

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