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Becoming musically enculturated: effects of music classes for infants on brain and behavior

2012· article· en· W2137436451 on OpenAlexafffund
Laurel J. Trainor, Céline Marie, David Gerry, Elaine E. Whiskin, Andrea Unrau

Bibliographic record

VenueAnnals of the New York Academy of Sciences · 2012
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Music Perception
Canadian institutionsMcMaster UniversityBaycrest Hospital
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchGRAMMY Foundation
KeywordsEnculturationPsychologyMusicalPerceptionCognitive psychologyCitizen journalismDevelopmental psychologyVisual artsNeuroscienceArtPedagogyComputer science

Abstract

fetched live from OpenAlex

Musical enculturation is a complex, multifaceted process that includes the development of perceptual processing specialized for the pitch and rhythmic structures of the musical system in the culture, understanding of esthetic and expressive norms, and learning the pragmatic uses of music in different social situations. Here, we summarize the results of a study in which 6-month-old Western infants were randomly assigned to 6 months of either an active participatory music class or a class in which they experienced music passively while playing. Active music participation resulted in earlier enculturation to Western tonal pitch structure, larger and/or earlier brain responses to musical tones, and a more positive social trajectory. Furthermore, the data suggest that early exposure to cultural norms of musical expression leads to early preferences for those norms. We conclude that musical enculturation begins in infancy and that active participatory music making in a positive social setting accelerates enculturation.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.168
GPT teacher head0.380
Teacher spread0.212 · 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 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

Citations98
Published2012
Admission routes2
Has abstractyes

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