Evidence map›Paper›PMID 37588354›Full record

ArticleEvolutionary human sciences2020

Coding culture: challenges and recommendations for comparative cultural databases.

Edward Slingerland, Quentin D Atkinson, Carol R Ember, Oliver Sheehan, Michael Muthukrishna, Joseph Bulbulia, Russell D Gray

Abstract read
In one paragraph

Article in Evolutionary human sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  5. Article
  6. Review
  7. Article
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  10. Review
  11. Article
  12. Historical, archaeological and linguistic evidence test the phylogenetic inference of Viking-Age plant use.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Article
  13. The uses and abuses of tree thinking in cultural evolution.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Review
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.

Edward SlingerlandDepartment of Asian Studies, University of British Columbia, Vancouver, Canada.ORCID https://orcid.org/0000-0001-6717-7765
Quentin D AtkinsonSchool of Psychology, University of Auckland, Auckland, New Zealand.
Carol R EmberHuman Relations Area Files, Yale University, New Haven, USA.
Oliver SheehanSchool of Psychology, University of Auckland, Auckland, New Zealand.
Michael MuthukrishnaDepartment of Psychological and Behavioural Science, London School of Economics, London, UK.ORCID https://orcid.org/0000-0002-7079-5166
Joseph BulbuliaSchool of Humanities, University of Auckland, Auckland, New Zealand.
Russell D GrayMax Planck Institute for the Science of Human History, Jena, Germany.ORCID https://orcid.org/0000-0002-9858-0191

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Considerable progress in explaining cultural evolutionary dynamics has been made by applying rigorous models from the natural sciences to historical and ethnographic information collected and accessed using novel digital platforms. Initial results have clarified several long-standing debates in cultural evolutionary studies, such as population origins, the role of religion in the evolution of complex societies and the factors that shape global patterns of language diversity. However, future progress requires recognition of the unique challenges posed by cultural data. To address these challenges, standards for data collection, organisation and analysis must be improved and widely adopted. Here, we describe some major challenges to progress in the construction of large comparative databases of cultural history, including recognising the critical role of theory, selecting appropriate units of analysis, data gathering and sampling strategies, winning expert buy-in, achieving reliability and reproducibility in coding, and ensuring interoperability and sustainability of the resulting databases. We conclude by proposing a set of practical guidelines to meet these challenges.

Indexed as

big datacross-cultural databasesCultural evolutionhistorical databases

Identifiers

PMID37588354
PMCPMC10427479

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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.