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Record W2028751511 · doi:10.1196/annals.1284.051

Toward a Developmental Psychology of Music

2003· review· en· W2028751511 on OpenAlexaff
Sandra E. Trehub

Bibliographic record

VenueAnnals of the New York Academy of Sciences · 2003
Typereview
Languageen
FieldNeuroscience
TopicNeuroscience and Music Perception
Canadian institutionsResearch CanadaUniversity of Toronto
Fundersnot available
KeywordsPsychologyCognitive scienceCognitive psychologyData scienceApplied psychologyComputer science

Abstract

fetched live from OpenAlex

Research on music perception has revealed numerous parallels between infants and adults, but these findings have had little influence on adult research. Studies of pitch memory in infants, children, and adults are presented to illustrate potential gains from a developmental approach. Although the prevailing wisdom is that absolute pitch processing dominates in early life until it is supplanted by relative pitch processing, recent research offers no support for that view. After a week of exposure to English folk melodies, infants remember the melodies, but they do not distinguish the original versions from transposed versions. Relative pitch processing dominates later on, but it does not occur at the expense of absolute pitch processing. For example, adults can identify the pitch level of familiar musical recordings in the context of foils that are pitch shifted by one or two semitones. Children 5-9 years of age can identify the pitch level of familiar recordings when the foils are pitch shifted by two semitones but not by one semitone. By contrast, Japanese children are successful in the context of one-semitone shifts. In short, a developmental approach can provide insights of comparable importance on many issues in music cognition.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.003
Scholarly communication0.0010.003
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.481
GPT teacher head0.453
Teacher spread0.028 · 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 designTheoretical or conceptual
Domainnot available
GenreReview

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

Citations56
Published2003
Admission routes1
Has abstractyes

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Same venueAnnals of the New York Academy of SciencesSame topicNeuroscience and Music PerceptionFrench-language works237,207