Evidence map›Paper›PMID 25646448›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Rate of language evolution is affected by population size.

Lindell Bromham, Xia Hua, Thomas G Fitzpatrick, Simon J Greenhill

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Article
  2. Islands are engines of language diversity.Nature ecology & evolution · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Language: Its Origin and Ongoing Evolution.Journal of Intelligence · 2023
    Review
  7. Efficiency fosters cumulative culture across species.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Article
  8. Review
  9. A manifesto for palaeodemography in the twenty-first century.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Article
  10. Article
  11. Proceedings. Biological sciences · 2020
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

4 authors.

Lindell BromhamCentre for Macroevolution and Macroecology, Division of Ecology, Evolution, and Genetics, Research School of Biology, Australian National University, Canberra, ACT 0200, Australia; lindell.bromham@anu.edu.au.
Xia HuaCentre for Macroevolution and Macroecology, Division of Ecology, Evolution, and Genetics, Research School of Biology, Australian National University, Canberra, ACT 0200, Australia;
Thomas G FitzpatrickSchool of Culture, History and Language, ANU College of Asia and the Pacific, Australian National University, Canberra, ACT 0200, Australia; and.
Simon J GreenhillSchool of Culture, History and Language, ANU College of Asia and the Pacific, Australian National University, Canberra, ACT 0200, Australia; and ARC Centre of Excellence for the Dynamics of Language, Australian National University, Canberra, ACT 0200, Australia.ORCID http://orcid.org/0000-0001-7832-6156

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The effect of population size on patterns and rates of language evolution is controversial. Do languages with larger speaker populations change faster due to a greater capacity for innovation, or do smaller populations change faster due to more efficient diffusion of innovations? Do smaller populations suffer greater loss of language elements through founder effects or drift, or do languages with more speakers lose features due to a process of simplification? Revealing the influence of population size on the tempo and mode of language evolution not only will clarify underlying mechanisms of language change but also has practical implications for the way that language data are used to reconstruct the history of human cultures. Here, we provide, to our knowledge, the first empirical, statistically robust test of the influence of population size on rates of language evolution, controlling for the evolutionary history of the populations and formally comparing the fit of different models of language evolution. We compare rates of gain and loss of cognate words for basic vocabulary in Polynesian languages, an ideal test case with a well-defined history. We demonstrate that larger populations have higher rates of gain of new words whereas smaller populations have higher rates of word loss. These results show that demographic factors can influence rates of language evolution and that rates of gain and loss are affected differently. These findings are strikingly consistent with general predictions of evolutionary models.

Indexed as

Language DevelopmentPopulation DensityHumansAustronesianlanguage evolutionlexical changePoisson regressionsister-pair comparison

Identifiers

PMID25646448
PMCPMC4343108

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.