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Record W7117672758 · doi:10.1177/03057356251403081

The implications of participating in a Music Early Learning Program for parental sensitivity and socioemotional functioning in children aged 2–5 years: A randomized control trial

2025· article· en· W7117672758 on OpenAlexaff
Aimée Gaudette-Leblanc, Jonathan Bolduc, Sébastien Boucher, Julie Raymond, Andrea Creech, George M. Tarabulsy

Bibliographic record

VenuePsychology of Music · 2025
Typearticle
Languageen
FieldPsychology
TopicMusic Therapy and Health
Canadian institutionsMcGill UniversityUniversité du Québec à MontréalUniversité LavalUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsSocioemotional selectivity theoryContext (archaeology)Intervention (counseling)Randomized controlled trialControl (management)Music therapy

Abstract

fetched live from OpenAlex

This study investigated the implications of participating in a Music Early Learning Program (MELP) for parental sensitivity and socioemotional functioning in children aged 2–5 years. Thirty-eight families were randomly assigned to either the MELP or the control group. Data were collected through a semi-structured home-observation protocol administered in the participants’ homes prior to and after the intervention. Parental sensitivity was assessed through independent, blind assessments using the short version of the Maternal Behavior Q-Sort. Parents completed the Behavioral Assessment Scoring System to assess their child’s socioemotional functioning. Consistent with previous studies, we found that participation in a MELP resulted in positive changes in parental sensitivity. Parents in the intervention group obtained improved sensitivity scores compared with participants in the control group, whose scores remained essentially unchanged. No significant differences were found between groups in child socioemotional functioning. These findings suggest that exposure to MELPs may benefit parent–child interactions. Implementing a MELP in a community setting may provide a positive context to help parents interact more predictably and coherently with their children.

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)0.003
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.151
Threshold uncertainty score0.368

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 head0.041
GPT teacher head0.389
Teacher spread0.348 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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