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Record W2465999844 · doi:10.1037/xhp0000245

Listeners lengthen phrase boundaries in self-paced music.

2016· article· en· W2465999844 on OpenAlexafffund
Haley E. Kragness, Laurel J. Trainor

Bibliographic record

VenueJournal of Experimental Psychology Human Perception & Performance · 2016
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Music Perception
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPhraseMelodyChord (peer-to-peer)PerceptionMusicalSpeech recognitionBoundary (topology)PsychologyCognitive psychologyComputer scienceCommunicationMathematicsArtificial intelligenceArtMathematical analysisVisual arts

Abstract

fetched live from OpenAlex

). In the present experiments, we used a paradigm from the action perception literature, the dwell time paradigm (Hard, Recchia, & Tversky, 2011), to investigate whether participants engage in phrase boundary lengthening when self-pacing through musical sequences. When participants used a key press to produce each successive chord of Bach chorales, they dwelled longer on boundary chords than nonboundary chords in both the original chorales and atonal manipulations of the chorales. When a novel musical sequence was composed that controlled for metrical and melodic contour cues to boundaries, the dwell time difference between boundaries and nonboundaries was greater in the tonal condition than in the atonal condition. Furthermore, similar results were found for a group of nonmusicians, suggesting that phrase-final lengthening in musical production is not dependent on musical training and can be evoked by harmonic cues.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.439
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.064
GPT teacher head0.358
Teacher spread0.294 · 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.

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

Citations15
Published2016
Admission routes2
Has abstractyes

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