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Record W2784190046 · doi:10.1080/07494467.2017.1401378

Luigi Dallapiccola, Massimo Mila, and the Journey of a Manuscript: An Analysis of<i>Tre poemi</i>(1949) in Context

2017· article· en· W2784190046 on OpenAlexfundno aff
Angela Ida De Benedictis, Christoph Neidhöfer

Bibliographic record

VenueContemporary Music Review · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsContext (archaeology)ArtTone (literature)LiteratureBiographyArt historyPerformance artPaintingVisual artsHistory

Abstract

fetched live from OpenAlex

Tre poemi (1949) marks a key moment in Luigi Dallapiccola’s oeuvre and biography: for the first time, all movements of a work are unified by a single 12-tone series; the work’s dedication to Arnold Schoenberg led to the first personal contact with the master; Dallapiccola dedicated a fair copy, with serial analysis, of the first movement on James Joyce’s ‘A Flower Given to my Daughter’ to his own daughter Annalibera; and the composer gave the complete vocal-score manuscript, with analytical annotations, as a gift to the music critic and close friend Massimo Mila. As no sketches for Tre poemi have come down to us, this recently discovered manuscript constitutes the only surviving draft of the work. This article analyses the 12-tone techniques of Tre poemi in their historical, cultural, and biographical context through a study of the Dallapiccola–Mila correspondence, the published writings of the composer and critic, the discovered manuscript and other primary sources. Integrating archival research and post-tonal transformational analysis, we take clues from the manuscript to show how Dallapiccola developed his particular brand of 12-tone technique with its emphasis on invariant pitch-class collections, recurring rhythmic motives and pitch polarities inspired by literary techniques (especially assonance) in Joyce and others. Furthermore, we situate our analysis in the aesthetic discourse of the time, as discussed by Dallapiccola and Mila.

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)0.002
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.825
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.136
GPT teacher head0.298
Teacher spread0.162 · 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
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

Citations1
Published2017
Admission routes1
Has abstractyes

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