2024-03-28T15:25:36Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/63342022-11-30T10:39:30Zcom_10259_6336com_10259_6335com_10259.4_106com_10259_2604com_10259_3830com_10259_5086col_10259_6337col_10259_3832
Ahedo García, Virginia
10
600
0000-0002-9812-388X
Zurro, Débora
2c9d15de-83d0-46e0-9c8b-c9ac1d38841c
600
Caro Saiz, Jorge
d1b0ab15-34f1-48a4-a370-7178123b2322
600
Galán Ordax, José Manuel
188
600
0000-0003-3360-7602
2022-01-18T08:03:53Z
2022-01-18T08:03:53Z
2021-08
1932-6203
http://hdl.handle.net/10259/6334
10.1371/journal.pone.0254539
The transition to agriculture is regarded as a major turning point in human history. In the present contribution we propose to look at it through the lens of ethnographic data by means of a machine learning approach. More specifically, we analyse both the subsistence economies and the socioecological context of 1290 societies documented in the Ethnographic Atlas with a threefold purpose: (i) to better understand the variability and success of human economic choices; (ii) to assess the role of environmental settings in the configuration of the different subsistence economies; and (iii) to examine the relevance of fishing in the development of viable alternatives to cultivation. All data were extracted from the publicly available cross-cultural database D-PLACE. Our results suggest that not all subsistence combinations are viable, existing just a subset of successful economic choices that appear recurrently in specific ecological systems. The subsistence economies identified are classified as either primary or mixed economies in accordance with an information-entropy-based quantitative criterion that determines their degree of diversification. Remarkably, according to our results, mixed economies are not a marginal choice, as they constitute 25% of the cases in our data sample. In addition, fishing seems to be a key element in the configuration of mixed economies, as it is present across all of them.
Spanish Ministry of Science and Innovation: Excellence Networks (HAR2017-90883-REDC) (VA, DZ, JC, JMG) and (RED2018-102518-T) (VA, JMG), as well as the CULM Project (HAR2016-77672-P) (DZ, JC); from the Catalan Government - AGAUR through 2017 SGR 212 (DZ); from the Junta de Castilla y León – Consejería de Educación through BDNS 425389 (VA, JMG); and from the Research Foundation – Flanders (FWO) through the NASA project (VA, JC, JMG). In addition, this work was partially supported by the European Social Fund, as VA is the recipient of a predoctoral grant from the Department of Education of Junta de Castilla y León. Lastly, the publication fee was partially supported by the CSIC Open Access Publication Support Initiative through its Unit of Information Resources for Research (URICI). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
application/pdf
eng
Public Library Science
PLoS ONE. 2021, V. 16, n. 8, e0254539
https://doi.org/10.1371/journal.pone.0254539
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/HAR2017-90883-REDC/ES/Simular el pasado para entender el comportamiento humano
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RED2018-102518-T/ES/SISTEMAS COMPLEJOS SOCIOTECNOLOGICOS
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/HAR2016-77672-P/ES/MODELADO DEL CULTIVO EN LA PREHISTORIA
info:eu-repo/grantAgreement/AGAUR//2017 SGR 212/
Atribución 4.0 Internacional
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
Economía
Sociología
Economy
Sociology
Let’s go fishing: A quantitative analysis of subsistence choices with a special focus on mixed economies among small-scale societies
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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oai:riubu.ubu.es:10259/6334
2022-11-30 11:39:30.142
Repositorio Institucional de la Universidad de Burgos
bubrep@ubu.es
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