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Record W3174197500 · doi:10.5206/notabene.v14i1.13410

Completing Mahler’s Piano Quartet: A Study of Unfinished Music, Ethics, and Authenticities

2021· article· en· W3174197500 on OpenAlexvenueno aff
Isabella Spinelli

Bibliographic record

VenueNota bene · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPianoMusicalHarmony (color)ArtStyle (visual arts)LiteraturePsychologyAestheticsVisual artsArt history

Abstract

fetched live from OpenAlex

Performers and scholars have argued for generations over what should be done with musical works that have been left incomplete by their composers. Though many attempts have been made to bring such works to completion, some scholars feel that these fragments should remain untouched because the pieces in question were left incomplete during the composer’s own career. With this debate in mind, I undertook a study and completion of Gustav Mahler’s Piano Quartet in A minor, a piece for which Mahler composed a complete first movement, Nicht zu schnell, and twenty-four bars of a second movement, Scherzo, when he was a student at the Vienna Conservatory. I began by analyzing Nicht zu schnell in order to understand Mahler’s treatment of motives, form, and harmony. In addition, I studied contemporary works by Schumann and Brahms. Based on my analyses, I then composed a completion of the Scherzo in a style that is, in my opinion, idiomatic of Mahler. After a performance of my completion, seventy percent of the audience responded with five on a scale of zero to six when asked in a survey how closely my Scherzo aligned with Nicht zu schnell. One hundred percent of the listeners ethically approved of the task of completing unfinished music. Adding to the discourse on musical completion, this paper addresses the musicological debate surrounding unfinished music, discusses my process of completing Mahler’s quartet, and assesses public reactions to the ethical issues, such as hubris, that often arise when an alternate composer completes an unfinished work.

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)0.009
metaresearch head score (Gemma)0.020
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0140.029
Scholarly communication0.0090.006
Open science0.0010.006
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.134
GPT teacher head0.277
Teacher spread0.142 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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