Historians of colonial and postcolonial attempts to deal with undernutrition in Africa have generally argued that, after the Second World War, scientists and doctors “medicalized” hunger by emphasizing specific deficiencies that could be medically “cured” or alleviated through dietary supplements, thereby covering up the economic, social, and political causes of (post)colonial hunger. This article argues that this explanation obscures the persistence of a more holistic approach immediately after the Second World War, which rejected this narrow vision of hunger and, on the contrary, framed it as a very broad problem requiring interdisciplinary research and ambitious economic and social solutions. It focuses in particular on the work of British nutrition specialist B. S. Platt and his “experiment” in The Gambia that was meant to devise a replicable recipe to cure colonial malnutrition through mechanization and agricultural development. Like many other such colonial projects, the project ended in dismal failure, but it illustrates how malnutrition was understood at the end of the war as a broad economic and social problem. It also shows how this more holistic approach was tightly associated with the postwar project of colonial “development” and was predicated on an ambition to thoroughly re-engineer colonial landscapes and subjects.

The U.S. Supreme Court is often regarded as an impartial arbiter of justice, yet various prejudices may influence its decisions. This article examines Supreme Court justices’ biases, focusing on how they invoke racialized stereotypes of criminality. We argue that justices are more likely to vote in favor of white, nonviolent litigants, reinforcing stereotypes that depict nonwhite defendants as inherently more criminal and violent. Drawing on the U.S. Supreme Court Database’s criminal procedure cases from 2005–2017, combined with an original dataset of litigants’ racial identities, we estimate a series of multilevel logistic regressions. Our findings show that litigant race, crime type, and justice ideology jointly shape judicial votes. We further investigate how bias appears in justices’ written opinions, revealing language that perpetuates racialized conceptions of criminality. Overall, our results underscore the Court’s role in constructing what it means to be both “criminal” and “nonwhite,” suggesting that the Court is not a neutral interpreter of law, but an institution shaped by broader social and political biases.

While gender-based violence (GBV) is increasingly recognised as a significant social and political issue, its impact on women educators remains underexamined. In the context of growing concerns about violence against educators and the prevalence of GBV in educational institutions, this study investigates gendered patterns of violence against school leaders in Australian schools. Drawing on 18,172 observations from reports by principals and deputy principals, this analysis explores incidents of bullying, threats of violence, and physical violence to identify disparities in the experiences of men and women school leaders. The analysis determined that women school leaders were more likely to experience threats of violence and bullying at work than their male counterparts. Logistic regression analyses revealed that gender, school sector, and role significantly influence the likelihood of experiencing various forms of workplace violence, with women in secondary schools and those in government or Catholic sectors being particularly vulnerable.

On the basis of signaling and trust theories, we explore the impact of focal firms’ environmental, social, and governance (ESG) performance on their collaborative innovation (co-innovation). We argue that high ESG performance serves as a positive signal that focal firms engage less in opportunistic behavior in the co-innovation process. This, in turn, makes it easier for focal firms to gain the trust of potential external innovation collaborators (collaborators) and ultimately increases the level of co-innovation in focal firms. Guided by signaling and trust theories, we further argue that heavy polluting firm attributes and historical co-innovation alter the impact of ESG signals on collaborators’ trust, which in turn leads to heterogeneity in the positive impact of ESG performance on firms’ co-innovation. Based on empirical data on A-share manufacturing companies listed in China from 2010 to 2021, we obtained empirical evidence to support the above theoretical arguments. This study provides new insights for a refined understanding of the innovation consequences of ESG performance and important implications for shareholders and policymakers to better encourage and guide firms in co-innovation.

Boundary points on the moduli space of pointed curves corresponding to collisions of marked points have modular interpretations as degenerate curves. In this paper, we study degenerations of orbifold projective curves corresponding to collisions of stacky points from the point of view of noncommutative algebraic geometry.

Haemonchus contortus is a parasitic nematode that causes significant economic losses in ruminant livestock worldwide. In this study, we assessed the global genetic diversity and population structure of H. contortus using mitochondrial COX1 and ribosomal ITS2 sequences retrieved from the NCBI GenBank database. In total, 324 haplotypes of the COX1 and 72 haplotypes of the ITS2 were identified. The haplotype diversity values were all higher than 0.5, and the nucleotide diversity values were higher than 0.005. The Tajima’s D value for COX1 (−1.65634) was higher than that for ITS2 (−2.60400). Fu’s Fs, Fu and Li’s D (FLD), and Fu and Li’s F (FLF) values also showed high negative values, indicating a high probability of future population growth. In addition, the high fixation index (FST) value suggests significant genetic differentiation among populations. The haplotype networks of H. contortus populations based on COX1 sequences revealed clear geographic clustering, whereas ITS2 sequences showed more haplotype admixture across regions. The results of phylogenetic analyses were consistent with the haplotype networks. These findings highlighted that H. contortus populations exhibit significant genetic variation and are undergoing rapid population expansion, with clear genetic differences across geographic regions. This study established critical baseline data for future molecular epidemiology studies, which could guide region-specific parasite surveillance and targeted control strategies, thus helping to mitigate the risk of cross-border parasite transmission and drug resistance.

In this paper we adopt the probabilistic mean value theorem in order to study differences of the variances of transformed and stochastically ordered random variables, based on a suitable extension of the equilibrium operator. We also develop a rigorous approach aimed at expressing the variance of transformed random variables. This is based on a joint distribution which, in turn, involves the variance of the original random variable, as well as its mean residual lifetime and mean inactivity time. Then we provide applications to the additive hazards model and to some well-known random variables of interest in actuarial science. These deal with a new notion, called the ‘centred mean residual lifetime’, and a suitably related stochastic order. Finally, we also address the analysis of the differences of the variances of transformed discrete random variables thanks to the use of a discrete version of the equilibrium operator.