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Record W2266494756

A Review of Peter Schmelz's Such Freedom if Only Musical

2013· review· en· W2266494756 on OpenAlexaff
Ian S Bain

Bibliographic record

Venuenot available
Typereview
Languageen
FieldSocial Sciences
TopicEastern European Communism and Reforms
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsMusicalOpposition (politics)Period (music)NarrativeLiteratureParallelsArtVisual artsCriticismHistoryAestheticsLawPolitical sciencePolitics
DOInot available

Abstract

fetched live from OpenAlex

In this work, Peter J. Schmelz presents a thorough study of Soviet avant-garde music during the Kruschev-era thaw (1953-1974). The book focuses on six prominent “young composers” of the time: Edison Denisov, Sofia Gubaidulina, Arvo Part, Valentin Silvestrov, Alfred Schnittke and Andrey Volkonsky. Schmelz’s chronologically organized monograph develops an intriguing narrative of a Soviet musical underground in which composers were able to experiment with previously forbidden compositional techniques, listen to and discuss the music of contemporary composers both foreign and domestic, and perform their work to audiences of young, idealistic peers. The author argues that the ideas, attitudes, and practices of this group of composers, artists, and intellectuals generated a social environment of passive opposition toward the oppressive Soviet System. The music produced by these composers parallels the evolution of the unofficial musical community. The initial period of excitement proceeding Stalin’s death in 1953 and leading into the early 1960s saw composers, eager to work with previously forbidden techniques, producing works of strict serialism and sharp abstraction. These early compositions were met with harsh criticism from officials, but rapt attention and enthusiastic support from audiences. Over time, as the thrill of change and audience members dwindled, composers began to adopt a more generally accessible approach to music, stressing dramatic effect and aleatory techniques over strict serial organization. Schmelz’s book displays a stunning calibre of research and analysis throughout its 392 pages. Within the eight chapters and epilogue, Schmelz exhibits his incredible depth of knowledge through professional yet accessible prose, engaging readers both within and outside the academic sphere.

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)0.002
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: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0020.002
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0100.005

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 head0.076
GPT teacher head0.370
Teacher spread0.294 · 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
GenreReview

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
Published2013
Admission routes1
Has abstractyes

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