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Record W4367157320 · doi:10.7202/1091840ar

Malcolm Forsyth’s Double Concerto: Forging a New Simplicity

2022· article· en· W4367157320 on OpenAlexvenueaboutno aff
Robert Rival

Bibliographic record

VenueIntersections Canadian Journal of Music · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsConcertoSimplicityRealmCelloMOZARTStyle (visual arts)Simple (philosophy)Violin concertoLiteratureClassical musicMusicalArtPianoArt historyPhilosophyHistoryEpistemology

Abstract

fetched live from OpenAlex

In 2004, Canadian composer Malcolm Forsyth (1936–2011) stated publicly that the simplest compositions, if genuine, often achieved the greatest profundity. He described the Adagio from his Double Concerto for Viola and Cello (2004) as “the greatest departure, for me, to this realm of a very, very simple and harmonious music.” This article explores Forsyth’s conception of simplicity by placing a close harmonic, motivic, and structural analysis in several contexts: the work’s history of revisions, what Mozart, Schubert, and Brahms reveal about musical simplicity, the debate on profundity in music, the discourse on “late style,” and personal anecdotes.

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)0.004
metaresearch head score (Gemma)0.008
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.214
Threshold uncertainty score0.425

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0180.047
Scholarly communication0.0090.007
Open science0.0010.005
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0050.001

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 head0.061
GPT teacher head0.233
Teacher spread0.173 · 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
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
Published2022
Admission routes2
Has abstractyes

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