The Effects of Trial Judge Gender and Public Opinion on Criminal Sentencing Decisions

We explore the effects of a trial judge\u27s gender in criminal sentencing decisions by addressing two unsettled questions. First, do female and male trial judges sentence criminal offenders differently from one another? While numerous qualitative and quantitative scholars have examined this question, the results lack consistency. Second, are female trial judges\u27 sentencing practices differentially affected by public opinion compared to male judges\u27 behavior? Little research exists on this second question, but existing theory on how females and males make decisions and operate as judges is informative. To provide new empirical insight into these questions, we rely on two sources of data: judge sentences stemming from Colorado trial court marijuana-related drug cases filed from 2004 to 2009 and local public opinion on marijuana from a 2006 Colorado general election initiative on whether to legalize marijuana possession. These data permit us to analyze judges\u27 baseline sentencing practices (pre-2006 initiative) and the effect that public opinion has on the sentences (pre- vs. post-2006 initiative). The statistical modeling indicates that while male and female judges in Colorado generally do not sentence defendants differently from one another, there is one exception. Namely, female judges are more lenient than male judges when sentencing female defendants. Our empirical results also indicate that while Colorado trial judges were responsive to local public opinion following the 2006 marijuana initiative, that responsiveness was not more potent for female judges than it was for male judges. Together, these empirical results provide important new insights into the behavior of male and female trial court judges

Getting from A to IRB : Developing an Institutional Review Board at a Historically Black University

Shaw University, the oldest historically black college or university in the southern USA, recently partnered with the University of North Carolina at Chapel Hill, a major research institution in North Carolina, to further develop Shaw’s research infrastructure. One aim of the partnership involved establishing a human research ethics committee and an accompanying administrative structure and research ethics education program. This paper describes the process of developing an entire human research protection program de novo through collaboration with and mentoring by the members of the human research protection program at a nearby major research institution. This paper provides a detailed description of the aims, procedures, accomplishments, and challenges involved in such a project, which may serve as a useful model for other primarily teaching institutions wishing to develop research infrastructure and ethical capacity

Almanac: Retrieval-Augmented Language Models for Clinical Medicine

Large-language models have recently demonstrated impressive zero-shot capabilities in a variety of natural language tasks such as summarization, dialogue generation, and question-answering. Despite many promising applications in clinical medicine, adoption of these models in real-world settings has been largely limited by their tendency to generate incorrect and sometimes even toxic statements. In this study, we develop Almanac, a large language model framework augmented with retrieval capabilities for medical guideline and treatment recommendations. Performance on a novel dataset of clinical scenarios (n = 130) evaluated by a panel of 5 board-certified and resident physicians demonstrates significant increases in factuality (mean of 18% at p-value < 0.05) across all specialties, with improvements in completeness and safety. Our results demonstrate the potential for large language models to be effective tools in the clinical decision-making process, while also emphasizing the importance of careful testing and deployment to mitigate their shortcomings

Untangling the Conceptual Isssues Raised in Reydon and Scholz’s Critique of Organizational Ecology and Darwinian Populations

Reydon and Scholz raise doubts about the Darwinian status of organizational ecology by arguing that Darwinian principles are not applicable to organizational populations. Although their critique of organizational ecology’s typological essentialism is correct, they go on to reject the Darwinian status of organizational populations. This paper claims that the distinction between replicators and interactors, raised in modern philosophy of biology but not discussed by Reydon and Scholz, points the way forward for organizational ecologists. It is possible to conceptualise evolving Darwinian populations providing the inheritance mechanism is appropriately specified. By this approach, adaptation and selection are no longer dichotomised, and the evolutionary significance of knowledge transmission is highlightedPeer reviewe

Size and frequency of natural forest disturbances and Amazon carbon balance

Forest inventory studies in the Amazon indicate a large terrestrial carbon sink. However, field plots may fail to represent forest mortality processes at landscape-scales of tropical forests. Here we characterize the frequency distribution of disturbance events in natural forests from 0.01 ha to 2,651 ha size throughout Amazonia using a novel combination of forest inventory, airborne lidar and satellite remote sensing data. We find that small-scale mortality events are responsible for aboveground biomass losses of B1.28 Pg C y 1 over the entire Amazon region. We also find that intermediate-scale disturbances account for losses of B0.01 Pg C y 1 , and that the largest-scale disturbances as a result of blow-downs only account for losses of B0.003 Pg C y 1 . Simulation of growth and mortality indicates that even when all carbon losses from intermediate and large-scale disturbances are considered, these are outweighed by the net biomass accumulation by tree growth, supporting the inference of an Amazon carbon sink

Measuring news bias: Russia’s official news agency ITAR-TASS’ coverage of the Ukraine crisis

Objectivity in news reporting is one of the most widely discussed topics in journalism, and a number of studies on bias in news have been conducted, but there is little agreement on how to define or measure news bias. Aiming to settle the theoretical and methodological disagreement, the author redefined news bias and applied a new methodology to detect the Russian government’s influence on ITAR-TASS during the Ukraine crisis. A longitudinal content analysis of over 35,000 English-language newswires on the Ukraine crisis published by ITAR-TASS and Interfax clearly showed that ITAR-TASS’ framing of Ukraine was reflecting desirability of pivotal events in the crisis to the Russian government. This result reveals Russia’s strategic use of the state-owned news agency for international propaganda in its ‘hybrid war’, demonstrating the effectiveness of the new approach to news bias

Mammographic density, lobular involution, and risk of breast cancer

In this review, we propose that age-related changes in mammographic density and breast tissue involution are closely related phenomena, and consider their potential relevance to the aetiology of breast cancer. We propose that the reduction in mammographic density that occurs with increasing age, parity and menopause reflects the involution of breast tissue. We further propose that age-related changes in both mammographic density and breast tissue composition are observable and measurable phenomena that resemble Pike's theoretical construct of ‘breast tissue ageing'. Extensive mammographic density and delayed breast involution are both associated with an increased risk of breast cancer and are consistent with the hypothesis of the Pike model that cumulative exposure of breast tissue to hormones and growth factors that stimulate cell division, as well as the accumulation of genetic damage in breast cells, are major determinants of breast cancer incidence

Cohort profile: the avon longitudinal study of parents and children: ALSPAC mothers cohort

The Avon Longitudinal Study of Children and Parents (ALSPAC) was established to understand how genetic and environmental characteristics influence health and development in parents and children. All pregnant women resident in a defined area in the South West of England, with an expected date of delivery between 1st April 1991 and 31st December 1992, were eligible and 13 761 women (contributing 13 867 pregnancies) were recruited. These women have been followed over the last 19–22 years and have completed up to 20 questionnaires, have had detailed data abstracted from their medical records and have information on any cancer diagnoses and deaths through record linkage. A follow-up assessment was completed 17–18 years postnatal at which anthropometry, blood pressure, fat, lean and bone mass and carotid intima media thickness were assessed, and a fasting blood sample taken. The second follow-up clinic, which additionally measures cognitive function, physical capability, physical activity (with accelerometer) and wrist bone architecture, is underway and two further assessments with similar measurements will take place over the next 5 years. There is a detailed biobank that includes DNA, with genome-wide data available on &gt;10 000, stored serum and plasma taken repeatedly since pregnancy and other samples; a wide range of data on completed biospecimen assays are available. Details of how to access these data are provided in this cohort profile