A prominent argument in the political correctness debate is that people feel pressure to publicly espouse sociopolitical views they do not privately hold, and that such misrepresentations might render public discourse less vibrant and informative. This paper formalizes the argument in terms of social image and evaluates it experimentally in the context of college campuses. The results show that (i) social image concerns drive a wedge between the sensitive sociopolitical attitudes that college students report in private and in public; (ii) public utterances are indeed less informative than private utterances; and (iii) information loss is exacerbated by (partial) audience naïveté.

Climate disasters raise the salience of climate change’s negative consequences, including climate-induced migration. Policy action to address climate displacement is especially contentious in the United States, where weak support for tackling climate change intersects with high opposition to migration. Do climate disasters foster receptivity toward climate migrants and broader willingness to combat climate change? To study this question, we leverage the occurrence of Hurricane Ian during fielding of a preregistered survey in autumn 2022. Hurricane exposure increased concern about and support for policies to address climate migration. Hurricane exposure also increased support for climate action and belief in anthropogenic climate change. Effects of hurricane exposure cross-cut partisanship, education, age, and other important correlates of climate attitudes but decay within 6 months. Together, these results suggest that climate disasters may briefly increase favorability toward climate migrants and climate policy action but are unlikely to durably mobilize support even in severely impacted areas.

Babies in the United States fare worse than their peers in other high-income countries, and their well-being is starkly unequal along socioeconomic and racialized lines. Newborn health predicts adult well-being, making these inequalities consequential. Policymakers and scholars seeking to improve newborn health and reduce inequality have recently looked to direct cash transfers as a viable intervention. We examine the only unconditional cash transfer in the United States, the Alaska Permanent Fund Dividend (PFD), to learn if giving pregnant people money improves their newborns’ health. Alaska has paid its residents a significant dividend annually since 1982. The dividend’s size varies yearly and is exogenous to Alaskans and the local economy, permitting us to make causal claims. After accounting for fertility selection, we find that receiving cash during pregnancy has no meaningful effect on newborn health. Current theory focuses on purchasing power and status mechanisms to delineate how money translates into health. It cannot illuminate this null finding. This case illustrates a weakness with current theory: it does not provide clear expectations for interventions. We propose four components that must be considered in tandem to predict whether proposed interventions will work.

Statistical learning with a large number of rare binary features is commonly encountered in analyzing electronic health records (EHR) data, especially in the modeling of disease onset with prior medical diagnoses and procedures. Dealing with the resulting highly sparse and large-scale binary feature matrix is notoriously challenging as conventional methods may suffer from a lack of power in testing and inconsistency in model fitting, while machine learning methods may suffer from the inability of producing interpretable results or clinically-meaningful risk factors. To improve EHR-based modeling and use the natural hierarchical structure of disease classification, we propose a tree-guided feature selection and logic aggregation approach for large-scale regression with rare binary features, in which dimension reduction is achieved through not only a sparsity pursuit but also an aggregation promoter with the logic operator of “or”. We convert the combinatorial problem into a convex linearly-constrained regularized estimation, which enables scalable computation with theoretical guarantees. In a suicide risk study with EHR data, our approach is able to select and aggregate prior mental health diagnoses as guided by the diagnosis hierarchy of the International Classification of Diseases. By balancing the rarity and specificity of the EHR diagnosis records, our strategy improves both prediction and interpretation. We identify important higher-level categories and subcategories of mental health conditions and simultaneously determine the level of specificity needed for each of them in associating with suicide risk. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.

How do people living at the intersection of various forms of injury seek out collective experiences of joy? I explore this question through fieldwork with Latinx female and queer artists and entrepreneurs, some of them undocumented, who consciously seek out and enact joy in their communities in East Los Angeles. At the same time, these communities face gentrification, racism, and discrimination. I rest on joy as a conceptual framework that arises out of the analysis and theorizing of my interlocutors, who choose to push back against mainstream representations of their communities as exclusively defined by their suffering. This approach, or what I call “an ethnography of joy,” draws our attention to what joy does in a particular context, how it becomes politically meaningful, and how it intersects and interacts with other phenomena. For example, in this article, I explore the more capacious idea of joy through a particular angle that emerged in my ethnographic research: entrepreneurship, or small business ownership. A focus on entrepreneurship allows me to explore how my interlocutors summon the forces of neoliberalism to seek social mobility, belonging, and community activism.

Carceral recycling—a system of camp-based waste labor—was instrumental to the Judeocide. Tracing the connections between resource fetishism and ideas about cleanliness, this article shows that waste utilization lay at the heart of a destructive matrix that exploited camp and prison labor in the service of racial purification and imperial expansion. The Nazi regime imagined itself as resource poor and spaceless and accordingly mined junk and people rather than land in a desperate attempt to close the energy cycle and squeeze annihilative capacity out of forced labor and waste products. As an extreme form of securitization infrastructure, the landscape of prisons and camps manifested the Nazi paranoia about the existential threat that Jews and biosocial others supposedly posed in distinct locations of forced labor and murder. An extraction machine, the camp complex served a crucial economic function in an empire that did not distinguish between junk and jewels. Grounding this story in the history of carcerality, imperial extraction, and discard studies, this article draws attention to the dynamic relationship among ideas about cleanliness, security, and order that firmly ground the Nazi system of plunder and murder in the trajectory of Western imperialism and its enlightened rationality.

Our relationships are an important resource for health and well-being in times of need, often buffering the negative effects of stressful situations. Recent research has expanded on these buffering effects, exploring the role of close others in the experience of posttraumatic growth (PTG), or positive personality change that occurs after someone has experienced trauma. In the current review, we examine how much of a role partners play in PTG for individuals, summarizing the existing evidence suggesting that partners can influence the experience of PTG. Additionally, we examine which partner traits or behaviors may facilitate this growth for individuals, discussing relationship-relevant mechanisms, facilitators, and suppressors of PTG. Finally, and perhaps most importantly, we also discuss the quality of existing evidence for the influence of social relationships on PTG, how can we improve the quality of future research, and what is needed for a comprehensive examination of partner-influenced PTG.