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Record W2114976110 · doi:10.1111/infa.12114

Singing Delays the Onset of Infant Distress

2015· article· en· W2114976110 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueInfancy · 2015
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Music Perception
Canadian institutionsUniversity of TorontoUniversité de MontréalInternational Laboratory for Brain, Music and Sound Research
FundersFonds Québécois de la Recherche sur la Nature et les TechnologiesSocial Sciences and Humanities Research Council of CanadaNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsSingingPsychologyActive listeningDistressAudiologyEntrainment (biomusicology)Developmental psychologyCommunicationRhythmMedicineClinical psychologyAcoustics

Abstract

fetched live from OpenAlex

Much is known about the efficacy of infant‐directed ( ID ) speech and singing for capturing attention, but little is known about their role in regulating affect. In Experiment 1, infants 7–10 months of age listened to scripted recordings of ID speech, adult‐directed speech, or singing in an unfamiliar language (Turkish) until they met a criterion of distress based on negative facial expression. They listened to singing for roughly twice as long as speech before meeting the distress criterion. In Experiment 2, they were exposed to natural recordings of ID speech or singing in a familiar language. As in Experiment 1, ID singing was considerably more effective than speech for delaying the onset of distress. We suggest that the temporal patterning of ID singing, with its regular beat, metrical organization, and tempo, plays an important role in inhibiting distress, perhaps by promoting entrainment and predictive listening.

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.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.223
Threshold uncertainty score0.180

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 studies0.0000.000
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 head0.059
GPT teacher head0.309
Teacher spread0.250 · 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