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Record W4381790878 · doi:10.31820/pt.32.1.1

Musicality in Infancy

2023· article· en· W4381790878 on OpenAlexaff
Sandra E. Trehub

Bibliographic record

VenuePsihologijske teme · 2023
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Music Perception
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMusicalityEnculturationSingingPsychologyDanceRhythmMusicalDevelopmental psychologyPerceptionBabblingMelodyCognitive psychologyAestheticsVisual artsNeuroscienceAcousticsArtLinguistics

Abstract

fetched live from OpenAlex

The present review summarizes the available evidence on musicality, or music-related abilities, in infants (birth to 3 years). In the early months of life, infants are responsive to the pitch and temporal patterns of music. Their perceptual skills are similar, in many respects, to those of adults, presumably because of the nature of the human auditory system. Adult-infant differences, where evident, are attributable to infants’ unfamiliarity with the musical conventions of their culture. Musical enculturation proceeds more rapidly for temporal than for pitch processing. Musical exposure, especially the singing of caregivers, is prevalent in infancy. Caregivers’ music-making for infants has consequences for their emotional and social regulation and for their subsequent self-regulation abilities. By the end of their first year, most infants have become music-makers as well as music listeners. They move spontaneously to music, and their patterns of “dancing” undergo considerable change in the subsequent months and years. Early dancing is influenced by the familiarity of the music, and later dancing may include aspects of caregivers’ dance movements. Although the onset of singing occurs considerably later than the onset of dance, early singing is remarkably accurate in terms of its pitch range, pitch contours, rhythmic patterning, and fluency, especially when infants sing in their familiar home environment.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.954
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.002

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 head0.124
GPT teacher head0.356
Teacher spread0.232 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

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