Mandatory Minimum Sentencing Policies and Cocaine Use in the U.S., 1985–2013

Background: As of May 2017, the United States federal government renewed its prioritization for the enforcement of mandatory minimum sentences for illicit drug offenses. While the effect of such policies on racial disparities in incarceration is well-documented, less is known about the extent to which these laws are associated with decreased drug use. This study aims to identify changes in cocaine use associated with mandatory minimum sentencing policies by examining differential sentences for powder and crack cocaine set by the Anti-Drug Abuse Act (ADAA) (100:1) and the Fair Sentencing Act (FSA), which reduced the disparate sentencing to 18:1.Methods: Using data from National Survey on Drug Use and Health, we examined past-year cocaine use before and after implementation of the ADAA (1985–1990, N = 21,296) and FSA (2009–2013, N = 130,574). We used weighted logistic regressions and Z-tests across models to identify differential change in use between crack and powder cocaine. Prescription drug misuse, or use outside prescribed indication or dose, was modeled as a negative control to identify underlying drug trends not related to sentencing policies.Results: Despite harsher ADAA penalties for crack compared to powder cocaine, there was no decrease in crack use following implementation of sentencing policies (odds ratio (OR): 0.72, p = 0.13), although both powder cocaine use and misuse of prescription drugs (the negative control) decreased (OR: 0.59, p \u3c 0.01; OR: 0.42, p \u3c 0.01 respectively). Furthermore, there was no change in crack use following the FSA, but powder cocaine use decreased, despite no changes to powder cocaine sentences (OR: 0.81, p = 0.02), suggesting that drug use is driven by factors not associated with sentencing policy. Conclusions: Despite harsher penalties for crack versus powder cocaine, crack use declined less than powder cocaine and even less than drugs not included in sentencing policies. These findings suggest that mandatory minimum sentencing may not be an effective method of deterring cocaine use

Mandatory Minimum Sentencing Policies and Cocaine Use in the U.S., 1985–2013

Background: As of May 2017, the United States federal government renewed its prioritization for the enforcement of mandatory minimum sentences for illicit drug offenses. While the effect of such policies on racial disparities in incarceration is well-documented, less is known about the extent to which these laws are associated with decreased drug use. This study aims to identify changes in cocaine use associated with mandatory minimum sentencing policies by examining differential sentences for powder and crack cocaine set by the Anti-Drug Abuse Act (ADAA) (100:1) and the Fair Sentencing Act (FSA), which reduced the disparate sentencing to 18:1.Methods: Using data from National Survey on Drug Use and Health, we examined past-year cocaine use before and after implementation of the ADAA (1985–1990, N = 21,296) and FSA (2009–2013, N = 130,574). We used weighted logistic regressions and Z-tests across models to identify differential change in use between crack and powder cocaine. Prescription drug misuse, or use outside prescribed indication or dose, was modeled as a negative control to identify underlying drug trends not related to sentencing policies.Results: Despite harsher ADAA penalties for crack compared to powder cocaine, there was no decrease in crack use following implementation of sentencing policies (odds ratio (OR): 0.72, p = 0.13), although both powder cocaine use and misuse of prescription drugs (the negative control) decreased (OR: 0.59, p \u3c 0.01; OR: 0.42, p \u3c 0.01 respectively). Furthermore, there was no change in crack use following the FSA, but powder cocaine use decreased, despite no changes to powder cocaine sentences (OR: 0.81, p = 0.02), suggesting that drug use is driven by factors not associated with sentencing policy. Conclusions: Despite harsher penalties for crack versus powder cocaine, crack use declined less than powder cocaine and even less than drugs not included in sentencing policies. These findings suggest that mandatory minimum sentencing may not be an effective method of deterring cocaine use

A mathematical theory of semantic development in deep neural networks

An extensive body of empirical research has revealed remarkable regularities in the acquisition, organization, deployment, and neural representation of human semantic knowledge, thereby raising a fundamental conceptual question: what are the theoretical principles governing the ability of neural networks to acquire, organize, and deploy abstract knowledge by integrating across many individual experiences? We address this question by mathematically analyzing the nonlinear dynamics of learning in deep linear networks. We find exact solutions to this learning dynamics that yield a conceptual explanation for the prevalence of many disparate phenomena in semantic cognition, including the hierarchical differentiation of concepts through rapid developmental transitions, the ubiquity of semantic illusions between such transitions, the emergence of item typicality and category coherence as factors controlling the speed of semantic processing, changing patterns of inductive projection over development, and the conservation of semantic similarity in neural representations across species. Thus, surprisingly, our simple neural model qualitatively recapitulates many diverse regularities underlying semantic development, while providing analytic insight into how the statistical structure of an environment can interact with nonlinear deep learning dynamics to give rise to these regularities