Majoritarian values and women’s rights: police and judicial behavior in Tajikistan and Azerbaijan

This paper analyzes judicial and police behavior in dealing with cases of family violence and divorce in Tajikistan and Azerbaijan. Police and judges deliberately violate existing legal provisions to prevent women from divorcing or filing charges against their husbands in cases of domestic violence. While the law does not recognize religious marriages in Tajikistan, judges often rule to protect women’s living space after the dissolution of such unions. Drawing on rich interview and archival data, this behavior is explained by showing that judicial and police behavior reflects their biases, which in turn are a reflection of majoritarian norms in these countries. Since current laws are derived from Soviet codes, which were never internalized by the population, police and judges bend them to fit their understanding of social justice.     

Mark Swatek-Evenstein: A History of Humanitarian Intervention

Liverpool Law Review -     

Michael P. Scharf,Milena Sterio & Paul R. Williams: The Syrian Conflict’s Impact on International Law: Cambridge: Cambridge University Press, 2020, 378 pp, £85 hardback,ISBN: 9781108491532

Liverpool Law Review -     

Market-Oriented Reforms as a Tool of State-Building: Russian Pension Reform in 2001

Despite domestic opposition and several policy alternatives, in 2001 the Russian government adopted a pension reform that was potentially costly and had uncertain long-term benefits. Demographic and fiscal pressures created the desire to reform and a more cooperative Duma made it possible to do so. These points do not explain why Putin chose the pension privatisation option. Russia's pension reform is best understood as part of a state-building strategy to diminish the role of powerful bureaucracies. Russia's welfare state was not merely the product of a powerful and popular president, but rather a tool to create a stronger executive.     

Further Pseudo-Operational Trials with the Lumicyano Double- and Co-Fuming Process for the Detection of Latent Fingermarks

This study presents a number of pseudo-operational trials on plastic bags investigating the double- and co-fuming process of a one-step fluorescent cyanoacrylate (Lumicyano^TM) in comparisons with the two-step process with basic yellow 40 (BY40) staining for the detection of latent fingermarks. The results demonstrate that both Lumicyano solution and dye contribute to the increased detection of latent fingermarks during the double-fuming process (trial 1). Co-fuming the Lumicyano solution and dye separately (at a concentration of 8%) but simultaneously was less effective than 8% Lumicyano (trial 2). Co-fuming Lumicyano 8% and an additional 8% Lumicyano dye by weight was more effective than Lumicyano 8% (trial 3), possibly due to increased fluorescent material deposition during co-fuming allowing for better visualization. The use of BY40 after Lumicyano resulted in a considerable increase in detected fingermarks.     

Analyzing block randomized studies: the example of the Jersey City drug market analysis experiment

Objectives

While block randomized designs have become more common in place-based policing studies, there has been relatively little discussion of the assumptions employed and their implications for statistical analysis. Our paper seeks to illustrate these assumptions, and controversy regarding statistical approaches, in the context of one of the first block randomized studies in criminal justice—the Jersey City Drug Market Analysis Project (DMAP).

Methods

Using DMAP data, we show that there are multiple approaches that can be used in analyzing block randomized designs, and that those approaches will yield differing estimates of statistical significance. We develop outcomes using both models with and without interaction, and utilizing both Type I and Type III sums-of-squares approaches. We also examine the impacts of using randomization inference, an approach for estimating p values not based on approximations using normal distribution theory, to adjust for possible small N biases in estimating standard errors.

Results

The assumptions used for identifying the analytic approach produce a comparatively wide range of p values for the main DMAP program impacts on hot spots. Nonetheless, the overall conclusions drawn from our re-analysis remain consistent with the original analyses, albeit with more caution. Results were similar to the original analyses under different specifications supporting the identification of diffusion of benefits effects to nearby areas.

Conclusions

The major contribution of our article is to clarify statistical modeling in unbalanced block randomized studies. The introduction of blocking adds complexity to the models that are estimated, and care must be taken when including interaction effects in models, whether they are ANOVA models or regression models. Researchers need to recognize this complexity and provide transparent and alternative estimates of study outcomes.