Evidence map›Paper›PMID 40228112›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Toward multiscalar measures of inequality in archaeology.

Enrico R Crema, Mattia Fochesato, Andrés G Mejía Ramón, Jessica Munson, Scott G Ortman

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Accounting for uncertainty and bias in archaeological and historical evidence on wealth inequality.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Assessing grand narratives of economic inequality across time.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Introducing the Special Feature on housing differences and inequality over the very long term.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Housing inequality and settlement persistence are associated across the archaeological record.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. 100 generations of wealth equality after the Neolithic transitions.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Changes in agglomeration and productivity are poor predictors of inequality across the archaeological record.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Article
  8. Kuznets' tides: An archaeological perspective on the long-term dynamics of sustainable development.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  9. Assessing neighborhoods, wealth differentials, and perceived inequality in preindustrial societies.Proceedings of the National Academy of Sciences of the United States of America · 2025
    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

5 authors.

Enrico R CremaDepartment of Archaeology, University of Cambridge, Cambridge CB2 3DZ, United Kingdom.ORCID 0000-0001-6727-5138
Mattia FochesatoDepartment of Social and Political Science, Bocconi University, Milan 20136, Italy.ORCID 0000-0002-9915-4696
Andrés G Mejía RamónEmbodied Cognitive Science Unit, Okinawa Institute of Science and Technology Graduate University, Onna-son, Kunigami-gun, Okinawa-ken 904-0412, Japan.ORCID 0000-0002-9006-2381
Jessica MunsonDepartment of Anthropology-Sociology, Lycoming College, Williamsport, PA 17701.ORCID 0000-0002-2362-3804
Scott G OrtmanDepartment of Anthropology, University of Colorado, Boulder, CO 80309-0233.ORCID 0000-0003-0709-5287

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Gini coefficient is a statistical measure commonly used to characterize distributions of socioeconomic quantities. Archaeologists and social scientists have recently adopted this method to analyze ancient inequality by targeting specific proxy variables (e.g., residential unit size, burial data, etc.). Variations in the Gini are then examined in relation to key factors such as time, geography, and subsistence. Yet, Gini coefficients could be obtained across different scales of aggregation, from small neighborhoods within a larger settlement to an ensemble of multiple settlements that are part of the same polity. These different scales of aggregation represent considerable methodological and theoretical challenges, as larger scales might, for example, imply greater social and economic variation within groups and thus affect the Gini coefficients. Furthermore, these issues can also be exacerbated by the idiosyncrasies and limitations of historical and archaeological datasets. This paper discusses the potential and challenges of measuring Gini coefficients at and above the scale of individual archaeological sites, contrasting different approaches and discussing how each can reveal insights into different patterns of past wealth inequality, addressing methodological, empirical, and theoretical implications arising from the multiscalar nature of human interactions.

Indexed as

Gini coefficientsamplingscale

Identifiers

PMID40228112
PMCPMC12037059

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Registered trials

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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.