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Record W2997251710 · doi:10.18357/tar101201918926

The Sweet Sounds of Syntax: Music, Language, and the Investigation of Hierarchical Processing

2019· article· en· W2997251710 on OpenAlexaffvenue
Lee Whitehorne

Bibliographic record

VenueThe Arbutus Review · 2019
Typearticle
Languageen
FieldNeuroscience
TopicNeurobiology of Language and Bilingualism
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsSyntaxLinguisticsGenerative grammarComputer scienceHierarchyNeurolinguisticsCognitive sciencePsychologyCommunicationNatural language processingArtificial intelligenceCognitionPsycholinguistics

Abstract

fetched live from OpenAlex

Language and music are uniquely human faculties, defined by a level of sophistication found onlyin our species. The ability to productively combine contrastive units of sound, namely words inlanguage and notes in music, underlies much of the vast communicative and expressive capacities ofthese systems. Though the intrinsic rules of syntax in language and music differ in many regards,they both lead to the construction of complex hierarchies of interconnected, functional units. Muchresearch has examined the overlap, distinction, and general neuropsychological nature of syntaxin language and music but, in comparison to the psycholinguistic study of sentence processing,musical structure has been regarded at a coarse level of detail, especially in terms of hierarchicaldependencies. The current research synthesizes recent ideas from the fields of generative music theory,linguistic syntax, and neurolinguistics to outline a more detailed, hierarchy-based methodology forinvestigating the brain’s processing of structures in music.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.199
Threshold uncertainty score0.374

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.024
GPT teacher head0.286
Teacher spread0.262 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2019
Admission routes2
Has abstractyes

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