Integrating societal and psychological rules of entitlement: The basic task of each social actor and fundamental problem for the social sciences

A preliminary statement of a theoretical framework integrating psychological and societal determinants of justice in human affairs is presented. It is proposed that the social structure provides the rules of entitlement and decision making that regulate the course of routine social interaction. These societally based norms are representable in people's conscious thought processes. By contrast, the psychologically generated rules of entitlement, typically contradict conventionally accepted rules of thought and discourse and thus remain unconscious. The major part of the discussion considers the motivationally important circumstances that engage the unconscious psychologically compelling determinants and how their appearance in behavior is both shaped and legitimized by the situationally prevailing normative context. The final section considers some of the more important methodological, theoretical, and social policy implications of this social psychological theory of entitlements.     

Toward a demo-anthropological perspective on nuptiality and its relationship with new reproductive patterns: consideration of a study carried out in the area surrounding Zacatepec,Morelos

"The research is based on a study carried out between 1989 and 1991 in the three rural communities in the state of Morelos [Mexico] that included a socio-demographic survey and interviews. The methodological goal of the authors is to view nuptiality from demographic and anthropological standpoints.... The authors seek to pinpoint the elements that account for changes that have taken place in nuptiality, as well as to identify the impact of these changes on [descendants]." (SUMMARY IN ENG)     

Composite Machine Learning Algorithm for Material Sourcing,

This study developed a composite machine learning algorithm for attribution of materials of forensic interest (like ammonium nitrate) to original sources. k-nearest neighbor and random forest models were used for source elimination and classification, respectively, in a two-step, composite algorithm based on particle color, size/shape, and trace element concentration features. Novel approaches for simulation to supplement within-source reference features based on empirically measured multi-lot analyses, an improved hold-one-lot-out method for cross-validation, an assessment of the likelihood of the presence of a reference sample, fusion of the source probabilities from the respective classification models, and the calculation of metrics for assessing ensemble sourcing performance are described. Excellent sourcing predictions were obtained; the sourcing algorithm identified the correct source as the top choice 89% of the time, and the correct source was identified to be an average of 2.7 times more likely than the most likely incorrect source.     

Bicameralism and Minority-Party Influence on Legislative Development: Evidence from House Standing Committee Votes

The ability of the minority party to influence legislation in Congress is debated. Most bills are passed with large bipartisan majorities, yet the House, where most legislation is developed, is seen as a majority-party-dominated institution. I develop a theory of House minority-party influence at the committee markup stage as a result of the Senate’s institutional rules. An original data set of congressional committee votes shows that minority-party support in House committees predicts House and Senate passage. During unified party control of the chambers, an increase in Senate majority-party seats results in lower minority-party support for the legislation in the House committee, while during divided party control of Congress, the House majority passes more extreme bills as the chambers polarize. Even in the majority-party-dominated House, the minority’s preferences are incorporated into legislation, and the Senate’s institutional rules moderate bills to a significant degree.