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The Social Origins of Music

2023· book-chapter· en· W4388826549 on OpenAlexaff
Tal-Chen Rabinowitch, Laura K. Cirelli

Bibliographic record

VenueOxford University Press eBooks · 2023
Typebook-chapter
Languageen
FieldPsychology
TopicNeuroendocrine regulation and behavior
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMusicalPsychologyPsychological interventionField (mathematics)Cognitive psychologySocial psychologyDevelopmental psychologyVisual artsArt

Abstract

fetched live from OpenAlex

Abstract In all human cultures and throughout human history, music is an important socially interactive medium. At the same time, music plays a positive role in directing social-emotional behaviors of infants and children toward musical partners. Social-emotional development from early infancy also allows us to experience musical interactions with others as socially meaningful events. A growing body of research highlights specific underlying mechanisms of music, such as synchrony, as factors driving music-induced social effects. As a consequence, recent research explores whether musical interventions with infants and children enhance social bonding and general social capacities. This chapter examines the different phylogenetic and ontogenetic theories regarding the development of music as a socially interactive medium, and reviews and synthesizes studies investigating the role of music and musical interventions in influencing social capacities in infants and children. Finally, big open questions in the field and new directions for future research will be discussed.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.008
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.002

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 head0.074
GPT teacher head0.290
Teacher spread0.216 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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