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  From the ground up: A multidisciplinary approach to past fertility and population narratives

Mcfadden, C. (2023). From the ground up: A multidisciplinary approach to past fertility and population narratives. Human Nature, 34(3), 476-500. doi:10.1007/s12110-023-09459-x.

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McFadden_Ground_HumNat_2023.pdf (Publisher version), 863KB
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 Creators:
Mcfadden, Clare1, Author                 
Affiliations:
1Department of Human Behavior Ecology and Culture, Max Planck Institute for Evolutionary Anthropology, Max Planck Society, ou_2173689              

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Free keywords: Fertility; Paleodemography; Past Populations; Population Dynamics; Structural Equation Model
 Abstract: Population dynamics form a crucial component of human narratives in the past. Population responses and adaptations not only tell us about the human past but also offer insights into the present and future. Though an area of substantial interest, it is also one of often limited evidence. As such, traditional techniques from demography and anthropology must be adapted considerably to accommodate the available archaeological and ethnohistoric data and an appropriate inferential framework must be applied. In this article, I propose a ground-up, multidisciplinary approach to the study of past population dynamics. Specifically, I develop an empirically informed path diagram based on modern fertility interactions and sources of past environmental, sociocultural, and biological evidence to guide high-resolution case studies. The proposed approach is dynamic and can evolve in response to data inputs as case studies are undertaken. In application, this approach will create new knowledge of past population processes which can greatly enhance our presently limited knowledge of high-frequency, small-scale demographic fluctuations, as well as contribute to our broader understanding of significant population disturbances and change throughout human history. © 2023, The Author(s).

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Language(s): eng - English
 Dates: 2023-09-192023-09
 Publication Status: Issued
 Pages: 25
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1007/s12110-023-09459-x
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Title: Human Nature
Source Genre: Journal
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Pages: - Volume / Issue: 34 (3) Sequence Number: - Start / End Page: 476 - 500 Identifier: ISSN: 1045-6767
ISSN: 1936-4776