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Record W4286330061 · doi:10.30535/mto.28.1.9

<i>Klangfarbenmelodie</i> in 1911: Timbre’s Functional Roles in Webern’s Opp. 9 and 10

2022· article· en· W4286330061 on OpenAlexaff
Matthew Zeller

Bibliographic record

VenueMusic Theory Online · 2022
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Music Perception
Canadian institutionsMcGill University
FundersSociety for Music Theory
KeywordsTimbreFocus (optics)MusicalLinguisticsTheme (computing)GestureArtCommunicationAestheticsVisual artsPsychologyComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

Anton Webern’s pre-World War I aphoristic works sometimes appear to defy comprehension, but through the lens of Klangfarbenmelodie organizing principles of this music come into focus. Klangfarbenmelodie is a multifaceted principle of musical organization. It is how Klangfarbenfolgen—timbral progressions—are structured into music. This article explores timbral progressions in Webern’s music and some of the types of timbre-based musical logic that organize them. Timbre and pitch are simultaneous, codependent, and symbiotic. With the notion of timbre as the totality of musical tone, this article examines how timbral-registral space is employed to compose timbral trajectories like expansions, contractions, and crossing lines. In addition to drawing out timbral lines, the analyses focus on how timbre helps delineate pitch constructs, timbre’s role in structuring gesture and theme, and various types of timbral symmetry. Rather than a shift away from pitch analysis, this article proposes a repositioning toward the inclusion of timbre in analytic discourses.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.008
Scholarly communication0.0030.004
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.041
GPT teacher head0.255
Teacher spread0.214 · 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

Citations4
Published2022
Admission routes1
Has abstractyes

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