In this study, the author examines how gender-segregated space may affect the status of women in nonindustrial societies. Specifically, the author examines predictors of women's status in kinship, inheritance, and labor. The author argues that the gendered partitioning of space contributes to the subordination of women cross-culturally because these practices limit women's access to information which men use to gain status.

In this study, the author examines how gender-segregated space may affect the status of women in nonindustrial societies. Specifically, the author examines predictors of women's status in kinship, inheritance, and labor. The author argues that the gendered partitioning of space contributes to the subordination of women cross-culturally because these practices limit women's access to information which men use to gain status.

In this study, the author examines how gender-segregated space may affect the status of women in nonindustrial societies. Specifically, the author examines predictors of women's status in kinship, inheritance, and labor. The author argues that the gendered partitioning of space contributes to the subordination of women cross-culturally because these practices limit women's access to information which men use to gain status.

In this study, the author examines how gender-segregated space may affect the status of women in nonindustrial societies. Specifically, the author examines predictors of women's status in kinship, inheritance, and labor. The author argues that the gendered partitioning of space contributes to the subordination of women cross-culturally because these practices limit women's access to information which men use to gain status.

In this study, the author examines how gender-segregated space may affect the status of women in nonindustrial societies. Specifically, the author examines predictors of women's status in kinship, inheritance, and labor. The author argues that the gendered partitioning of space contributes to the subordination of women cross-culturally because these practices limit women's access to information which men use to gain status.

In this study, the author examines how gender-segregated space may affect the status of women in nonindustrial societies. Specifically, the author examines predictors of women's status in kinship, inheritance, and labor. The author argues that the gendered partitioning of space contributes to the subordination of women cross-culturally because these practices limit women's access to information which men use to gain status.

In this study, the author examines how gender-segregated space may affect the status of women in nonindustrial societies. Specifically, the author examines predictors of women's status in kinship, inheritance, and labor. The author argues that the gendered partitioning of space contributes to the subordination of women cross-culturally because these practices limit women's access to information which men use to gain status.

In this study, the author examines how gender-segregated space may affect the status of women in nonindustrial societies. Specifically, the author examines predictors of women's status in kinship, inheritance, and labor. The author argues that the gendered partitioning of space contributes to the subordination of women cross-culturally because these practices limit women's access to information which men use to gain status.

This article examines three theories regarding the lack of participation by women in community religious roles. Empirical analysis suggests that only resource theory has predictive power. Most clearly it suggests that women are more likely to be shamans in societies in which they are highly influential in kin networks but maintain minimal control of property. Neither gynephobia nor the presence of sex-differentiated social spheres appears associated with the prohibition of women’s participation in religious roles.

The present study aims to evaluate correlations of private property from two of Murdock's datasets, one of 147 societies (1981) and the other of 312 societies (1967). Altogether the author tested 146 variables coded by Murdock against variables regarding the ownership of land and of movables drawn from Murdock (1967), Simmons (1937), and Swanson (1960). In total, there were 51 statistically significant correlations between private property ownership and other variables. Additionally, the author summarizes the results from this article and the two that preceded it stating that throughout all of the correlations he ran, the practice of agriculture, the use of cereal grains, and the presence of castes and classes were the only variables that predicted private property in all of the datasets that were utilized.