Evidence map›Paper›PMID 28989786›Full record

ArticleRoyal Society open science2017

Inferring individual-level processes from population-level patterns in cultural evolution.

Anne Kandler, Bryan Wilder, Laura Fortunato

Abstract read
In one paragraph

Article in Royal Society open science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Operationalizing cultural adaptation to climate change: contemporary examples from United States agriculture.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  3. Article
  4. Respiratory Movements at Different Ages.Medicina (Kaunas, Lithuania) · 2023
    Article
  5. Article
  6. Foraging zebra finches (Biology letters · 2021
    Article
  7. Article
  8. Pathways to social inequality.Evolutionary human sciences · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Generative inference for cultural evolution.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018
    Review
  16. Article
  17. Article
  18. Article
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

3 authors.

Anne KandlerDepartment of Human Behavior, Ecology and Culture, Max Planck Institute for Evolutionary Anthropology, Leipzig, Sachsen, Germany.ORCID 0000-0003-3766-6597
Bryan WilderSchool of Engineering, University of Southern California, Los Angeles, CA, USA.
Laura FortunatoInstitute of Cognitive and Evolutionary Anthropology, University of Oxford, Oxford, UK.ORCID 0000-0001-8546-9497

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our species is characterized by a great degree of cultural variation, both within and between populations. Understanding how group-level patterns of culture emerge from individual-level behaviour is a long-standing question in the biological and social sciences. We develop a simulation model capturing demographic and cultural dynamics relevant to human cultural evolution, focusing on the interface between population-level patterns and individual-level processes. The model tracks the distribution of variants of cultural traits across individuals in a population over time, conditioned on different pathways for the transmission of information between individuals. From these data, we obtain theoretical expectations for a range of statistics commonly used to capture population-level characteristics (e.g. the degree of cultural diversity). Consistent with previous theoretical work, our results show that the patterns observed at the level of groups are rooted in the interplay between the transmission pathways and the age structure of the population. We also explore whether, and under what conditions, the different pathways can be distinguished based on their group-level signatures, in an effort to establish theoretical limits to inference. Our results show that the temporal dynamic of cultural change over time retains a stronger signature than the cultural composition of the population at a specific point in time. Overall, the results suggest a shift in focus from identifying the one individual-level process that likely produced the observed data to excluding those that likely did not. We conclude by discussing the implications for empirical studies of human cultural evolution.

Indexed as

conformist biascultural diversitycultural evolutionhorizontal transmissionoblique transmissionvertical transmission

Identifiers

PMID28989786
PMCPMC5627126

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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.