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Record W2516778317

Terezin variations : codes, messages, and the summer of 1944

2016· dissertation· en· W2516778317 on OpenAlexfundno aff
Jory Debenham

Bibliographic record

VenueLancaster EPrints (Lancaster University) · 2016
Typedissertation
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsMusicalArtNazismContext (archaeology)LiteraturePortraitTheme (computing)Composition (language)Art historyHistoryArchaeologyComputer science
DOInot available

Abstract

fetched live from OpenAlex

This thesis examines the final musical compositions of Pavel Haas, Hans Krása, Gideon Klein, and Viktor Ullmann through the lens of variations form. These four instrumental works were written in the Terezín concentration camp in the summer of 1944, when the Nazi propaganda campaign promoting Terezín as a haven for the Jews of the Protectorate of Bohemia and Moravia was at its height. Somewhat unexpectedly all of these pieces make use of some kind of variation technique, employing it in different ways to comment on their situation and experience. Each chapter connects a variations composition with a historical moment, offering an analysis of the piece within the historical context. What emerges is a portrait of four artistic individuals who engaged deeply with their situation and environment and expressed it through their music. Pavel Haas used symbolic quotations and paraphrases to express themes of nationalism, death, home, and façade, while Hans Krása employed musical topics, unusual juxtapositions, and the reconfiguring of the Baroque passacaglia form for his evocations of façade, incongruity, fear, and death. Gideon Klein adapted a Classical Theme and Variations model to embed quotations revealing the dark aspects of the camp that the Nazis were trying to conceal, and Viktor Ullmann, the most philosophically-oriented composer of the group, used variations as a way of searching for truth in the spiritual as well as the mental and physical realms. Through these analyses, I offer new insight into the historical situation of Terezín and the expressive capacity of the music as the composers of Terezín used one of the most simple and flexible musical forms for their most profound artistic expression.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.933
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0120.000

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 head0.020
GPT teacher head0.203
Teacher spread0.183 · 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 teacher head, not a consensus.

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
Published2016
Admission routes1
Has abstractyes

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