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Record W2145875708 · doi:10.5539/ijps.v4n1p3

Dynamic Cues in Key Perception

2012· article· en· W2145875708 on OpenAlexvenueno aff
Rie Matsunaga, Jun-ichi Abe

Bibliographic record

VenueInternational Journal of Psychological Studies · 2012
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Music Perception
Canadian institutionsnot available
FundersJapan Society for the Promotion of Science
KeywordsMelodyPsychologyPerceptionKey (lock)Active listeningSet (abstract data type)CommunicationStimulus (psychology)Cognitive psychologyTonic (physiology)Speech recognitionComputer scienceMusical

Abstract

fetched live from OpenAlex

The traditional idea of pitch full-set alone cannot explain different key perceptions for melodies that consist of the same pitch full-set but differ in pitch sequence. Three experiments, in which presentation styles, participant groups, and stimulus sets were manipulated independently, traced the process of key development back from a final stage of key identification to earlier stages of listening to a melody. In all the experiments, two results were confirmed: First, key responses in earlier stages influenced those in later stages to the extent that subsequent tones correspond to scale tones of a previously interpreted key, revealing a phenomenon termed perceptual inertia. Second, when multiple keys were possible, listeners tended to perceive the diatonic key that can contain more pitch classes within a pitch set given at the point of time as stable scale tones of that key (i.e., tonic triad).

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.969
Threshold uncertainty score0.233

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.156
GPT teacher head0.459
Teacher spread0.304 · 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 designObservational
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

Citations6
Published2012
Admission routes1
Has abstractyes

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