Evidence map›Paper›PMID 37588940›Full record

ArticleEvolutionary human sciences2022

Demography, trade and state power: a tripartite model of medieval farming/language dispersals in the Ryukyu Islands.

Aleksandra Jarosz, Martine Robbeets, Ricardo Fernandes, Hiroto Takamiya, Akito Shinzato, Naoko Nakamura, Maria Shinoto, Mark Hudson

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Evolutionary human sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Aleksandra JaroszFaculty of Humanities, Nicolaus Copernicus University, Toruń, Poland.ORCID https://orcid.org/0000-0002-4356-6528
Martine RobbeetsArchaeolinguistics Research Group, Department of Archaeology, Max Planck Institute for the Science of Human History, Jena, Germany.ORCID https://orcid.org/0000-0002-2860-0230
Ricardo FernandesDepartment of Archaeology, Max Planck Institute for the Science of Human History, Jena, Germany.
Hiroto TakamiyaResearch Center for the Pacific Islands, Kagoshima University, Kagoshima 890-8580, Japan.
Akito ShinzatoResearch Center for Buried Cultural Properties, Kumamoto University, Kumamoto, Japan.
Naoko NakamuraResearch Center for Archaeology, Kagoshima University, Kagoshima, Japan.
Maria ShinotoInstitut für Ur- und Frühgeschichte, Zentrum für Altertumswissenschaften, Universität Heidelberg, Heidelberg, Germany.ORCID https://orcid.org/0000-0001-6089-4526
Mark HudsonArchaeolinguistics Research Group, Department of Archaeology, Max Planck Institute for the Science of Human History, Jena, Germany.ORCID https://orcid.org/0000-0002-9483-9303

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hunter-gatherer occupations of small islands are rare in world prehistory and it is widely accepted that island settlement is facilitated by agriculture. The Ryukyu Islands contradict that understanding on two counts: not only did they have a long history of hunter-gatherer settlement, but they also have a very late date for the onset of agriculture, which only reached the archipelago between the eighth and thirteenth centuries AD. Here, we combine archaeology and linguistics to propose a tripartite model for the spread of agriculture and Ryukyuan languages to the Ryukyu Islands. Employing demographic growth, trade/piracy and the political influence of neighbouring states, this model provides a synthetic yet flexible understanding of farming/language dispersals in the Ryukyus within the complex historical background of medieval East Asia.

Indexed as

Farming/language dispersalsMiddle AgesRyukyu Islandsstate spacetrade

Identifiers

PMID37588940
PMCPMC10426105

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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.