Evidence map›Paper›PMID 30898886›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

Dominant words rise to the top by positive frequency-dependent selection.

Mark Pagel, Mark Beaumont, Andrew Meade, Annemarie Verkerk, Andreea Calude

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

  1. Article
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  4. The history of number words in the world's languages-what have we learnt so far?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Article
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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

5 authors.

Mark PagelSchool of Biological Sciences, University of Reading, Whiteknights, RG6 6UR Reading, United Kingdom; m.pagel@reading.ac.uk.
Mark BeaumontSchool of Biological Sciences, University of Bristol, BS8 1TW Bristol, United Kingdom.
Andrew MeadeSchool of Biological Sciences, University of Reading, Whiteknights, RG6 6UR Reading, United Kingdom.
Annemarie VerkerkSchool of Biological Sciences, University of Reading, Whiteknights, RG6 6UR Reading, United Kingdom.
Andreea CaludeDepartment of General and Applied Linguistics, University of Waikato, 3240 Hamilton, New Zealand.

Funding

Biotechnology and Biological Sciences Research Council BB/L018594/1
6 · The paper itself

Abstract

A puzzle of language is how speakers come to use the same words for particular meanings, given that there are often many competing alternatives (e.g., "sofa," "couch," "settee"), and there is seldom a necessary connection between a word and its meaning. The well-known process of random drift-roughly corresponding in this context to "say what you hear"-can cause the frequencies of alternative words to fluctuate over time, and it is even possible for one of the words to replace all others, without any form of selection being involved. However, is drift alone an adequate explanation of a shared vocabulary? Darwin thought not. Here, we apply models of neutral drift, directional selection, and positive frequency-dependent selection to explain over 417,000 word-use choices for 418 meanings in two natural populations of speakers. We find that neutral drift does not in general explain word use. Instead, some form of selection governs word choice in over 91% of the meanings we studied. In cases where one word dominates all others for a particular meaning-such as is typical of the words in the core lexicon of a language-word choice is guided by positive frequency-dependent selection-a bias that makes speakers disproportionately likely to use the words that most others use. This bias grants an increasing advantage to the common form as it becomes more popular and provides a mechanism to explain how a shared vocabulary can spontaneously self-organize and then be maintained for centuries or even millennia, despite new words continually entering the lexicon.

Indexed as

Models, TheoreticalPhoneticsHumansapproximate Bayesian computationfrequency-dependent selectionlanguage evolutionneutral driftshared vocabulary

Identifiers

PMID30898886
PMCPMC6462077

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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.