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Record W4226451052 · doi:10.1037/dev0001363

Tiny dancers: Effects of musical familiarity and tempo on children’s free dancing.

2022· article· en· W4226451052 on OpenAlexfundno aff
Haley E. Kragness, Farhat Ullah, Emma Chan, Rachel Moses, Laura K. Cirelli

Bibliographic record

VenueDevelopmental Psychology · 2022
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Music Perception
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyMusicalRhythmDanceFlexibility (engineering)PsycINFOMovement (music)Cognitive psychologyMusic educationDevelopmental psychologyCommunicationVisual artsArt

Abstract

fetched live from OpenAlex

= .74 years; 41 girls, 42 boys; 75% of household incomes > $90 000 CAD). Children listened to 1-min excerpts of their favorite music and unfamiliar, genre-matched music, each played at 90, 120, and 150 bpm (pitch constant; order randomized). Children moved faster to faster music and demonstrated tempo flexibility for both favorite and unfamiliar music. Favorite music encouraged more smiling across tempo conditions than unfamiliar music, as well as more dancing in the slowest tempo condition. Results demonstrate that young children's self-selected movements are affected by musical tempo and familiarity. We also demonstrate the usefulness of a naturalistic home recording method for assessing early auditory-motor integration. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

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 categoriesnone
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 score0.902
Threshold uncertainty score0.544

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 studies0.0000.000
Scholarly communication0.0000.000
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 head0.026
GPT teacher head0.291
Teacher spread0.265 · 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 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

Citations13
Published2022
Admission routes1
Has abstractyes

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