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.

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.

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.

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.

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.

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.

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 study presents a log linear analysis of the relationship between plow agriculture, female crop tending, and polygyny. The hypothesis was not supported.

This study presents a model of sexual division of labor using entailment analysis that accounts for distance of the task away from home and danger of the task. Results support the notion that childbirth and nursing are the main constraints on the sexual division of labor and that men tend to be allocated tasks that are more distant and dangerous.

This article uses two dependent variables: acceptance of polygyny (the rules) and and the percentage of women in polygynous marriages (the behavior). The rules of marriage are best predicted by social structural variables (e.g. warfare, fraternal interest groups) whereas actual marriage behaviors are best predicted by economic and ecological variables (e.g. climate zone). Deemphasizing exclusively reproductive or economic explanations for polygyny, the authors find polygyny is related to male-oriented kin groups, territorial expansion and migration, and marrying war captives. Polygyny is thus thought to have a stratifying effect on women and is ultimately a detriment to female status.