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Record W1995129887 · doi:10.3384/cu.2000.1525.0918105

Schoenberg and the Radical Economies of Harmonielehre

2009· article· en· W1995129887 on OpenAlexaff
Murray Dineen

Bibliographic record

VenueCulture Unbound Journal of Current Cultural Research · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPoliticsMach numberLeft-wing politicsHarmonizationSubject (documents)Political scienceHistorySociologyLawPhilosophyAestheticsEngineeringComputer science

Abstract

fetched live from OpenAlex

This article examines Schoenberg’s Harmonielehre as a text shaped by the influence of Central European science and politics. In accord with a severely economical approach to his subject, Schoenberg’s critique of figured bass and chorale harmonization is compared with Ernst Mach’s writings on scientific method. In support of this comparison, the article addresses the role played in Schoenberg’s political development by the Leftist editor and organizer, David J. Bach, one of Schoenberg’s closest childhood friends and a student of Mach. The comparison between Schoenberg and Mach, then, is drawn not only in terms of scientific method but also in light of the radical politics of the Austrian Left at the time, a politics for which both Mach and Schoenberg held sympathies. It should not be overlooked that later, however, they ceased to acknowledge these sympathies explicitly, and Schoenberg would appear to have abandoned them entirely.

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)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0060.027
Scholarly communication0.0070.006
Open science0.0010.005
Research integrity0.0020.003
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 head0.164
GPT teacher head0.391
Teacher spread0.227 · 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 designTheoretical or conceptual
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
Published2009
Admission routes1
Has abstractyes

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