Evidence map›Paper›PMID 31039147›Full record

ArticlePLoS computational biology2019

The life history of learning: Demographic structure changes cultural outcomes.

Laurel Fogarty, Nicole Creanza, Marcus W Feldman

Abstract read
In one paragraph

Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Cultural processes and demography: implications for conservation and beyond.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Modelling coupled human-environment complexity for the future of the biosphere: strengths, gaps and promising directions.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. The importance of life history and population regulation for the evolution of social learning.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    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.

Laurel FogartySchool of Biology, Sir Harold Mitchell Building, Greenside Place, St Andrews, United Kingdom.ORCID 0000-0002-1031-3786
Nicole CreanzaDepartment of Biological Sciences, Vanderbilt University, Nashville, Tennessee, United States of America.
Marcus W FeldmanDepartment of Biology, Stanford University, Stanford, California, United States of America.ORCID 0000-0002-0664-3803

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human populations show rich cultural diversity. Underpinning this diversity of tools, rituals, and cultural norms are complex interactions between cultural evolutionary and demographic processes. Most models of cultural change assume that individuals use the same learning modes and methods throughout their lives. However, empirical data on 'learning life histories'-the balance of dominant modes of learning (for example, learning from parents, peers, or unrelated elders) throughout an individual's lifetime-suggest that age structure may play a crucial role in determining learning modes and cultural evolutionary trajectories. Thus, studied in isolation, demographic and cultural evolutionary models show only part of the picture. This paper describes a mathematical and computational framework that combines demographic and cultural evolutionary methods. Using this general framework, we examine interactions between the ways in which culture is spread throughout an individual's lifetime and cultural change across generations. We show that including demographic structure alongside cultural dynamics can help to explain domain-specific patterns of cultural evolution that are a persistent feature of cultural data, and can shed new light on rare but significant demographic events.

Indexed as

Biological EvolutionCultural EvolutionAgricultureAnthropologyComputational BiologyDemographyFeeding BehaviorHumans

Identifiers

PMID31039147
PMCPMC6510452

What OpenQuestion holds

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Registered trials

None linked

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.