Evidence map›Paper›PMID 22388807›Full record

ArticleHuman nature (Hawthorne, N.Y.)2011

The matrilocal tribe: an organization of demic expansion.

Doug Jones

Abstract read
PubMed Publisher
In one paragraph

Article in Human nature (Hawthorne, N.Y.), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. The slave trade and the origins of matrilineal kinship.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  4. Article
  5. Article
  6. Evolutionary demography of age at last birth: integrating approaches from human behavioural ecology and cultural evolution.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018
    Article
  7. Kinship as a frequency dependent strategy.Royal Society open science · 2016
    Article
  8. The insectan apes.Human nature (Hawthorne, N.Y.) · 2014
    Article
  9. Article
  10. 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

1 author.

Doug JonesDepartment of Anthropology, University of Utah, 102 Stewart Building, Salt Lake City, UT 84102, USA. douglas.jones@anthro.utah.edu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article integrates (1) research in the historical dynamics of state societies relating group solidarity and group expansion to cultural frontiers, (2) comparative research in anthropology relating matrilocality to a particular variety of internal politics and a particular form of warfare, and (3) interdisciplinary reconstructions of large-scale "demic expansions" and associated kinship systems in prehistory. The argument is that "metaethnic frontiers," where very different cultures clash, are centers for the formation of larger, more enduring, and more militarily effective groups. In small-scale non-state societies, the major path toward the formation of such groups is the establishment of cross-cutting ties among men. This often involves the adoption of matrilocal norms. The current distribution of matrilocality and matrilineality around the world may be partly a residue of major demic expansions in prehistory involving matrilocal tribes. This hypothesis is evaluated with a range of evidence, including information regarding the spread of two language families, Bantu and Austronesian.

Indexed as

AfricaBrazilCooperative BehaviorCultureEmigration and ImmigrationFamily CharacteristicsFamily RelationsFoodHumansIndians, South AmericanLanguageMarriageResidence CharacteristicsSex FactorsWarfare

Identifiers

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.