Evidence map›Paper›PMID 38729968›Full record

ArticleNature communications2024

Global musical diversity is largely independent of linguistic and genetic histories.

Sam Passmore, Anna L C Wood, Chiara Barbieri, Dor Shilton, Hideo Daikoku, Quentin D Atkinson, Patrick E Savage

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Cultural evolution - of the arts.Evolutionary human sciences · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Sam PassmoreGraduate School of Media and Governance, Keio University, Fujisawa, Japan. samuel.passmore@anu.edu.au.ORCID http://orcid.org/0000-0002-5302-356X
Anna L C WoodAssociation for Cultural Equity, New York, USA. anna@culturalequity.org.
Chiara BarbieriDepartment of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, 8057, Switzerland.ORCID http://orcid.org/0000-0001-8827-5655
Dor ShiltonCohn Institute for the History and Philosophy of Science and Ideas, Tel Aviv University, Tel Aviv, Israel.
Hideo DaikokuGraduate School of Media and Governance, Keio University, Fujisawa, Japan.
Quentin D AtkinsonSchool of Psychology, University of Auckland, Auckland, New Zealand.ORCID http://orcid.org/0000-0002-8499-7535
Patrick E SavageSchool of Psychology, University of Auckland, Auckland, New Zealand. patrick.savage@auckland.ac.nz.ORCID http://orcid.org/0000-0001-6996-7496

Funding

MEXT | Japan Society for the Promotion of Science (JSPS) 19KK0064
6 · The paper itself

Abstract

Music is a universal yet diverse cultural trait transmitted between generations. The extent to which global musical diversity traces cultural and demographic history, however, is unresolved. Using a global musical dataset of 5242 songs from 719 societies, we identify five axes of musical diversity and show that music contains geographical and historical structures analogous to linguistic and genetic diversity. After creating a matched dataset of musical, genetic, and linguistic data spanning 121 societies containing 981 songs, 1296 individual genetic profiles, and 121 languages, we show that global musical similarities are only weakly and inconsistently related to linguistic or genetic histories, with some regional exceptions such as within Southeast Asia and sub-Saharan Africa. Our results suggest that global musical traditions are largely distinct from some non-musical aspects of human history.

Indexed as

LanguageLinguisticsMusicAfrica South of the SaharaAsia, SoutheasternCultural DiversityGenetic VariationHumans

Identifiers

PMID38729968
PMCPMC11087526

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.