ArticlePloS one2019
Quantifying the relationship between food sharing practices and socio-ecological variables in small-scale societies: A cross-cultural multi-methodological approach.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Small-scale farming in drylands: New models for resilient practices of millet and sorghum cultivation.PloS one · 2023Article
- Modularity of food-sharing networks minimises the risk for individual and group starvation in hunter-gatherer societies.PloS one · 2023Article
- A Conceptual Framework for Food Sharing as Collaborative Consumption.Foods (Basel, Switzerland) · 2022Review
- Exploring the role of ecology and social organisation in agropastoral societies: A Bayesian network approach.PloS one · 2022Article
- Let's go fishing: A quantitative analysis of subsistence choices with a special focus on mixed economies among small-scale societies.PloS one · 2021Article
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Authors and funding
6 authors.
Funding
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Abstract
This article presents a cross-cultural study of the relationship among the subsistence strategies, the environmental setting and the food sharing practices of 22 modern small-scale societies located in America (n = 18) and Siberia (n = 4). Ecological, geographical and economic variables of these societies were extracted from specialized literature and the publicly available D-PLACE database. The approach proposed comprises a variety of quantitative methods, ranging from exploratory techniques aimed at capturing relationships of any type between variables, to network theory and supervised-learning predictive modelling. Results provided by all techniques consistently show that the differences observed in food sharing practices across the sampled populations cannot be explained just by the differential distribution of ecological, geographical and economic variables. Food sharing has to be interpreted as a more complex cultural phenomenon, whose variation over time and space cannot be ascribed only to local adaptation.
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