Americans increasingly confront policy messages not from high-profile political figures but from everyday citizens. Much is known about the effects of racial source cues from well-known political figures with salient racial identities. Less is known about how subtle racial cues from non-recognizable sources affect Americans’ support for policies that are race-targeted and those that are not. In this paper, I conduct a randomized experiment that varies a cue of the source’s racial identity and the type of policy for which the source advocates. I uncover little evidence for the hypothesis that subtle racial source cues activate racial attitudes that lead Americans to racialize policies that are (at least explicitly) race-neutral. I find instead that subtle cues of a Black vs. White source decrease support only for race-targeted policies. I reason that two mechanisms possibly driving this effect are: (1) subtle racial source cues become salient for only race-targeted policies, thereby activating racial stereotypes for these policies but not others, and (2) Black sources are perceived as less objective policy messengers when the policy explicitly aims to rectify injustices against Black Americans. More generally, the paper’s overall findings suggest that subtle racial cues of who advocates for race-targeted policies matter for whether such policies can garner the public support they presumably need to come to fruition.

In land use policymaking, institutions for resident participation are common but often associated with stark inequalities. We argue that the observed connection between participatory institutions and political inequality arises due to the circumstances in which participatory institutions are established – not due to participation itself. In a formal model, residents of two districts compete to oppose a locally costly (but socially beneficial) proposal. Participatory institutions allow residents to send a costly signal of their preferences to a politician. The politician only establishes participatory institutions when they are moderately biased toward one district. When extremely biased, the politician unilaterally benefits one district at the other’s expense; when sufficiently egalitarian, the politician allows each district to approve or veto projects themselves. We relate these results to the changing structure of urban politics in the wake of the Great Society. Despite justified concerns about inequalities in participation, eliminating participatory institutions may actually increase unequal policy outcomes.

While an experimental colony of rice root aphids, Rhopalosiphum rufiabdominale (Sasaki) (Hemiptera: Aphididae) was being reared, hymenopteran parasitoids found their way into the colony and caused substantial aphid mortality. We identified the parasitoids as Aphelinus varipes (Förster) (Hymenoptera: Aphelinidae) and further investigated the ability of A. varipes to parasitise rice root aphids and cannabis aphids, Phorodon cannabis Passerini (Hemiptera: Aphididae), both pests of commercial cannabis plants, Cannabis sativa Linnaeus (Cannabaceae). In experiments with different densities of aphid hosts, female A. varipes parasitised both rice root aphids and cannabis aphids. The rate of parasitism did not exceed 21% for either aphid species but may exceed this in unconstrained operational settings. Aphelinus varipes should be investigated further as a potential biocontrol agent of rice root aphids and cannabis aphids.

Governments are increasingly targeting academic institutions such as the Central European University in Hungary, Boğaziçi University in Turkey, or CIDE in Mexico. These attacks represent the most visible symptoms of the deterioration of academic freedom. What is the cause of this trend? We argue that populism, being a thin ideology that polarizes the public sphere into virtuous citizens and a corrupt elite while emphasizing the will of the people, has made universities and academics natural targets for leaders who seek to impose a narrative in which only they possess the truth and represent the will of the people. Universities are characterized not only by a pluralism of ideas but also possess an elitist character: these attributes are in direct conflict with the values and vision of populist leaders. To support this argument, we present a global statistical analysis correlating the degree of populism exhibited by executive leaders with the extent of academic freedoms between 2000 and 2021, based on data from the Global Populism Database and V-Dem, and we illustrate our arguments with an in-depth analysis of the case of CIDE in Mexico.

Stewardship is not only about appropriate antibiotic prescribing, but also improving the utilization of resources. While multiple treatment regimens are endorsed for chorioamnionitis, some produce significantly more plastic waste than others. Ampicillin with gentamicin ± clindamycin, and vancomycin with gentamicin both create more plastic waste compared to regimens like cefoxitin, piperacillin/tazobactam, or ertapenem.

Location mentions in local news are crucial for examining issues like spatial inequalities, news deserts and the impact of media ownership on news diversity. However, while geoparsing – extracting and resolving location mentions – has advanced through statistical and deep learning methods, its use in local media studies remains limited and fragmented due to technical challenges and a lack of practical frameworks. To address these challenges, we identify key considerations for successful geoparsing and review spatially oriented local media studies, finding over-reliance on limited geospatial vocabularies, limited toponym disambiguation and inadequate validation of methods. These findings underscore the need for adaptable and robust solutions, and recent advancements in fine-tuned large language models (LLMs) for geoparsing offer a promising direction by simplifying technical implementation and excelling at understanding contextual nuances. However, their application to U.K. local media – marked by fine-grained geographies and colloquial place names – remains underexplored due to the absence of benchmark datasets. This gap hinders researchers’ ability to evaluate and refine geoparsing methods for this domain. To address this, we introduce the Local Media UK Geoparsing (LMUK-Geo) dataset, a hand-annotated corpus of U.K. local news articles designed to support the development and evaluation of geoparsing pipelines. We also propose an LLM-driven approach for toponym disambiguation that replaces fine-tuning with accessible prompt engineering. Using LMUK-Geo, we benchmark our approach against a fine-tuned method. Both perform well on the novel dataset: the fine-tuned model excels in minimising coordinate-error distances, while the prompt-based method offers a scalable alternative for district-level classification, particularly when relying on predictions agreed upon by multiple models. Our contributions establish a foundation for geoparsing local media, advancing methodological frameworks and practical tools to enable systematic and comparative research.