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Record W2731391897 · doi:10.1177/0305735617711762

Adults recognize toddlers’ song renditions

2017· article· en· W2731391897 on OpenAlexafffund
Helga Rut Guðmundsdóttir, Sandra E. Trehub

Bibliographic record

VenuePsychology of Music · 2017
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Music Perception
Canadian institutionsUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSingingMelodyLyricsPsychologyToddlerContext (archaeology)Active listeningDevelopmental psychologyCommunicationAudiologyMusicalHistoryVisual artsAcousticsLiteratureArt

Abstract

fetched live from OpenAlex

The present study explored the singing ability of toddlers 16 months to 3 years of age by examining North American adults’ ability to identify toddlers’ renditions of familiar tunes sung with foreign lyrics. After listening to each toddler’s song, half with familiar melodies and half with unfamiliar melodies, adults attempted to name the songs. Their identification was highly accurate, refuting the prevailing view that toddlers focus on words at the expense of tunes. The singing range of these non-English-speaking toddlers and that of their English-speaking counterparts approximated the pitch range of the target songs, which is inconsistent with the reportedly small singing range of toddlers. Toddlers’ apparent singing proficiency in the present context may stem from the use of home-based recordings and child-selected songs.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.902
Threshold uncertainty score0.799

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.144
GPT teacher head0.375
Teacher spread0.231 · 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

Citations54
Published2017
Admission routes2
Has abstractyes

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