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Record W3004038399 · doi:10.7202/1066621ar

Ruth Crawford’s String Quartet, Mvt. 3: An Analysis of Dynamic Counterpoint, Contour Similarity, and Musical Form

2020· article· en· W3004038399 on OpenAlexaffvenue
Yi‐Cheng Daniel Wu

Bibliographic record

VenueIntersections Canadian Journal of Music · 2020
Typearticle
Languageen
FieldComputer Science
TopicMusic Technology and Sound Studies
Canadian institutionsCanadian University Music Society
Fundersnot available
KeywordsCounterpointSimilarity (geometry)Movement (music)String (physics)Dynamics (music)Sequence (biology)MusicalTexture (cosmology)ArtMathematicsLiteratureComputer sciencePhysicsArtificial intelligenceAestheticsImage (mathematics)

Abstract

fetched live from OpenAlex

In the third movement of her String Quartet, locally Ruth Crawford crafts a unique dynamic contrapuntal fabric, where each instrument plays a different alternation of crescendo and diminuendo, thus the same dynamics never synchronize. Globally, this dynamic contrapuntal texture projects an extensively long gradual sound expansion fromppptofff.In addition, Crawford stresses two temporary dynamicsfandfff,subtly dividing the form into three parts. To support Crawford’s subtle formal division, I translate Crawford’s dynamic counterpoint into a chronological sequence of verticalized contours and measure their similarity. I find the essential changes in contour similarity always coincide with the structural boundary, sharpening the formal division in Crawford’s schematic design.

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)0.000
metaresearch head score (Gemma)0.005
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: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.004
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.021
GPT teacher head0.242
Teacher spread0.221 · 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

Citations1
Published2020
Admission routes2
Has abstractyes

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