Found 32 Hypotheses across 4 Pages (0.002 seconds)
  1. Moralizing high gods are most likely to be found in ecologically inhospitable and unpredictable environments, in politically complex societies, in societies near (or linguistically related to) other societies with high gods, and in societies with animal husbandry and/or agriculture.Botero, Carlos A. - The ecology of religious beliefs, 2014 - 8 Variables

    Belief in moralizing high gods (MHGs) has been theorized as a response to unfavorable environments, as a way to normalize behavior. In this study, researchers test the theory by creating a model for predicting the distribution of MHGs. They run many alternative models, testing the effects of resource abundance, climate stability, and pertinent social factors on the occurrence of belief in MHGs. Based on the ten most supported models, they create an average model that predicts MHGs within cultures with “excellent” accuracy.

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  2. Agriculture arose as environmental conditions improved and population densities increasedKavanagh, Patrick H. - Hindcasting global population densities reveals forces enabling the origin o..., 2018 - 2 Variables

    The researchers, using principal component analysis, generalized additive models across 12 agriculture origin locations, and a model predicting hunter-gatherer population density, evaluate hindcasted population density trends to suggest predictors of the development of agriculture. Using domestication as an indicator of agriculture, they test 3 competing hypotheses regarding agriculture development. Their results are consistent with the "surplus" hypothesis, indicating that agriculture arose as population densities increased along with environmental capabilities.

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  3. Agriculture arose out of necessity as environmental conditions deterioratedKavanagh, Patrick H. - Hindcasting global population densities reveals forces enabling the origin o..., 2018 - 2 Variables

    The researchers, using principal component analysis, generalized additive models across 12 agriculture origin locations, and a model predicting hunter-gatherer population density, evaluate hindcasted population density trends to suggest predictors of the development of agriculture. Using domestication as an indicator of agriculture, they test 3 competing hypotheses regarding agriculture development. Their results are consistent with the "surplus" hypothesis, indicating that agriculture arose as population densities increased along with environmental capabilities.

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  4. Factors promoting agriculture were distinct in each locationKavanagh, Patrick H. - Hindcasting global population densities reveals forces enabling the origin o..., 2018 - 1 Variables

    The researchers, using principal component analysis, generalized additive models across 12 agriculture origin locations, and a model predicting hunter-gatherer population density, evaluate hindcasted population density trends to suggest predictors of the development of agriculture. Using domestication as an indicator of agriculture, they test 3 competing hypotheses regarding agriculture development. Their results are consistent with the "surplus" hypothesis, indicating that agriculture arose as population densities increased along with environmental capabilities.

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  5. After accounting for dispersal constraints, the potential number of early domesticates will predict farming propensity in early twentieth century traditional societiesVilela, Bruno - Cultural transmission and ecological opportunity jointly shaped global patte..., 2020 - 2 Variables

    In this article, the authors seek to investigate why some societies reject agriculture despite its many benefits. By modeling data regarding ecological fitness and cultural transmission, the authors found predictors for the degree to which a society relies on agriculture. The authors conclude that the degree of fitness a local environment had for early domesticates as well as the degree of contact with neighboring societies strongly predicts levels of dependence on agriculture.

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  6. After accounting for dispersal constraints, mammal diversity will predict farming propensity in early twentieth century traditional societiesVilela, Bruno - Cultural transmission and ecological opportunity jointly shaped global patte..., 2020 - 2 Variables

    In this article, the authors seek to investigate why some societies reject agriculture despite its many benefits. By modeling data regarding ecological fitness and cultural transmission, the authors found predictors for the degree to which a society relies on agriculture. The authors conclude that the degree of fitness a local environment had for early domesticates as well as the degree of contact with neighboring societies strongly predicts levels of dependence on agriculture.

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  7. After accounting for dispersal constraints, vascular plant diversity will predict farming propensity in early twentieth century traditional societiesVilela, Bruno - Cultural transmission and ecological opportunity jointly shaped global patte..., 2020 - 2 Variables

    In this article, the authors seek to investigate why some societies reject agriculture despite its many benefits. By modeling data regarding ecological fitness and cultural transmission, the authors found predictors for the degree to which a society relies on agriculture. The authors conclude that the degree of fitness a local environment had for early domesticates as well as the degree of contact with neighboring societies strongly predicts levels of dependence on agriculture.

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  8. After accounting for dispersal constraints, horizontal transmission will predict farming propensity in early twentieth century traditional societiesVilela, Bruno - Cultural transmission and ecological opportunity jointly shaped global patte..., 2020 - 2 Variables

    In this article, the authors seek to investigate why some societies reject agriculture despite its many benefits. By modeling data regarding ecological fitness and cultural transmission, the authors found predictors for the degree to which a society relies on agriculture. The authors conclude that the degree of fitness a local environment had for early domesticates as well as the degree of contact with neighboring societies strongly predicts levels of dependence on agriculture.

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  9. The proposed simulation model predicts the number of precolonial languages in Australia.Gavin, Michael C. - Process‐based modelling shows how climate and demography shape language dive..., 2017 - 0 Variables

    Researchers examined both why so many language are spoken today, and why they are so unevenly distributed geographically. Instead of looking at correlative tests, this study uses a process-based simulation model that attempted to predict both the number or precolonial languages in Australia as well as the number of languages per unit of land. The model was based upon three basic assumptions: 1) humans fill unoccupied spaces; 2) rainfall limits population density; 3) groups divide after reaching a maximum population. While researchers used the model strictly on the Australia continent, it was able to correctly explain 56% of spatial variation in language richness, and predict the total number of languages across the continent. The accuracy of this model concludes that climatic conditions and changes in group size are important factors in shaping language diversity patterns and therefore global human cultural diversity.

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  10. The proposed simulation model predicts the spatial richness of languages.Gavin, Michael C. - Process‐based modelling shows how climate and demography shape language dive..., 2017 - 0 Variables

    Researchers examined both why so many language are spoken today, and why they are so unevenly distributed geographically. Instead of looking at correlative tests, this study uses a process-based simulation model that attempted to predict both the number or precolonial languages in Australia as well as the number of languages per unit of land. The model was based upon three basic assumptions: 1) humans fill unoccupied spaces; 2) rainfall limits population density; 3) groups divide after reaching a maximum population. While researchers used the model strictly on the Australia continent, it was able to correctly explain 56% of spatial variation in language richness, and predict the total number of languages across the continent. The accuracy of this model concludes that climatic conditions and changes in group size are important factors in shaping language diversity patterns and therefore global human cultural diversity.

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