The Boserupian and neo-Malthusian models of agricultural intensification in the American Midwest are tested using path analysis on a cross-cultural sample of 56 Native American societies. Results support the Boserupian model which suggests that population density is positively related to agricultural management which is positively related to agricultural production.

This article presents theory and hypothesis tests that suggest that the decline of women's contribution to intensive agriculture is related to increases in fertility and domestic work associated with cereal crops. Additionally, men in agricultural societies are less likely to invest time in hunting and warfare, so their contribution of agricultural labor relative to women's increases.

This article empirically tests the Durkheimian theory that different types of rites and the elaboration of public rituals are associated with social density. Analysis indicates that social density is negatively associated with the occurrence of crisis rites and positively associated with the occurrence of calendrical rites and ritual elaboration. Additional findings suggest that social density is a better predictor of ritual activity than political hierarchy or the division of labor.

This article empirically tests the Durkheimian theory that different types of rites and the elaboration of public rituals are associated with social density. Analysis indicates that social density is negatively associated with the occurrence of crisis rites and positively associated with the occurrence of calendrical rites and ritual elaboration. Additional findings suggest that social density is a better predictor of ritual activity than political hierarchy or the division of labor.

Authors Michael Burton and Douglas White present and test an ecological model for the process of agricultural intensification that aims to explain variance in (and the reduction in) female contribution to agriculture. The model synthesizes and expands upon findings put forth by previous studies in order to create a more comprehensive design. Results suggest that the strongest predictors of female contribution to agriculture are the number of dry months, the importance of domesticated animals to subsistence, and the use of the plow in farming. Crop type, although a weaker predictor, is also supported.

This exploratory study seeks to explain cassava production and processing in Africa by considering cultural, agronomic, and environmental data. After examining the descriptive results of the agricultural and social contexts of cassava use, the authors build upon Boserup's population density model (1965) to analyze their own hypothesized model of cassava's importance among the sampled societies.

This article presents theory and hypothesis tests that suggest that the decline of women's contribution to intensive agriculture is related to increases in fertility and domestic work associated with cereal crops. Additionally, men in agricultural societies are less likely to invest time in hunting and warfare, so their contribution of agricultural labor relative to women's increases.

This article presents theory and hypothesis tests that suggest that the decline of women's contribution to intensive agriculture is related to increases in fertility and domestic work associated with cereal crops. Additionally, men in agricultural societies are less likely to invest time in hunting and warfare, so their contribution of agricultural labor relative to women's increases.

This exploratory study seeks to explain cassava production and processing in Africa by considering cultural, agronomic, and environmental data. After examining the descriptive results of the agricultural and social contexts of cassava use, the authors build upon Boserup's population density model (1965) to analyze their own hypothesized model of cassava's importance among the sampled societies.

Authors Michael Burton and Douglas White present and test an ecological model for the process of agricultural intensification that aims to explain variance in (and the reduction in) female contribution to agriculture. The model synthesizes and expands upon findings put forth by previous studies in order to create a more comprehensive design. Results suggest that the strongest predictors of female contribution to agriculture are the number of dry months, the importance of domesticated animals to subsistence, and the use of the plow in farming. Crop type, although a weaker predictor, is also supported.