Replication Data for: Cultural Threat, Outgroup Discrimination, and Attitudes toward Transgender Rights

Replication Data for the article, "Cultural Threat, Outgroup Discrimination, and Attitudes toward Transgender Rights," published in Political Behavior. Scholars often highlight the roles that group threat and intergroup solidarity play in shaping attitudes toward outgroups. Competition among social groups, including over values and culture, can underlie negative attitudes toward outgroups. Meanwhile, perceptions of discrimination against outgroups can drive feelings of solidarity, sympathy, or empathy, which may foster more positive attitudes. These social identity concepts are often studied in the context of racial, ethnic, and religious prejudice, with less attention to how they apply to attitudes toward transgender and gender diverse people. Using a 2022 national survey, we assess how respondents’ perceptions of cultural threat from the LGBTQ community and perceptions of discrimination among a range of outgroups are related to attitudes about transgender rights policies, including access to public restrooms, participation in school sports, and medical transition care. We find that cultural threat is consistently associated with support for policies that restrict the rights of transgender people, but perceived outgroup discrimination tends not to show a significant relationship with these attitudes

Replication Data for: "Disequilibrium Play in Tennis"

This is the replication package for "Disequilibrium Play in Tennis," accepted in 2024 by the Journal of Political Economy

Replication Data for: Growth Off the Rails: Aggregate Productivity Growth in Distorted Economies

The is the replication package for "Growth Off the Rails: Aggregate Productivity Growth in Distorted Economies," accepted in 2024 by the Journal of Political Economy

Terminal efficiency of Peruvian university dental school undergraduate students over six years

This study aimed to determine the terminal efficiency of Peruvian university dental school undergraduate students over six years. The population was based on the records of undergraduate students from the UPCH Dental School from 2017 to 2022. The database was created with the information requested from the UPCH Dental School and the UPCH institutional repository. The descriptive analysis allowed absolute and relative frequencies to be obtained, in addition to assessing differences using the Chi-square statistical test. For the bivariate analysis, the Kolmogorov-Smirnov test was used to evaluate the normality of the data distribution, and the nonparametric Mann Whitney U and Kruskal Wallis tests were used, along with the corresponding post hoc test. The study had a confidence level of 95% and a value of p<0.05 to determine statistical significance

Vascular tissue ToF-SIMS spectra for "Nanoscopic imaging of ancient protein and vasculature offers new insight into soft tissue and biomolecule fossilization"

Raw, unprocessed ToF-SIMS spectra corresponding to Figure 6 and Figure 7 of the manuscript: "Nanoscopic imaging of ancient protein and vasculature offers new insight into soft tissue and biomolecule fossilization". These spectra represent raster scans of the surface of blood vessels (interpreted as basal endothelium) isolated from the following bone specimens: extant Bos taurus long-bone, extant Struthio camelus long-bone, extant Alligator mississippiensis long-bone, YG 610.2305 (Rangifer tarandus antler), YG 610.2363 (Bison priscus metatarsal), YG 610.2364 (Equus lambei metatarsal), YG 610.2365 (Bison priscus radius), YG 610.2397 (Mammuthus primigenius innominate), and YG 126.115 (Bison priscus tibia)

Radiation pressure by electron cyclotron waves on density fluctuations

The presence of turbulence in the form of large density fluctuations and coherent filamentary structures in the edge region of fusion plasmas has been well documented. Radio frequency waves, launched from structures near the wall of a tokamak, have to propagate through this turbulent plasma before reaching the core. These density fluctuations can reflect, refract, and diffract the electromagnetic waves, thereby modifying the flow of energy and momentum to the core plasma. Conversely, the radiation pressure of the radio frequency waves can modify the turbulence, whether it is in the edge region or in the core. This article examines some consequences of the radiation force induced by electron cyclotron waves in plasmas. The effect of waves on two different representations of density fluctuations are studied. In the first representation, suitable for both edge and core plasmas, it is assumed that a planar interface separates two different density regimes. The physics basis for the radiation force on an interface separating two different scalar dielectric media was first elucidated by Poynting in 1905 [J. H. Poynting, The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science 9, 393-406 (1905)]. Poynting’s results are explained within the context of Snell’s law and Fresnel equations, and, subsequently, extended to magnetized plasmas. The analysis shows that electron cyclotron waves lead to peaking of the density profile - the interface is pushed towards the region of higher density. The planar interface approximation is the basis of Kirchhoff theory [P. Beckmann and A. Spizzichino, The Scattering of Electromagnetic Waves from Rough Surfaces (Artech, Massachusetts, 1987) Chapter 3] used to study wave scattering by turbulent media. In the second representation, appropriate for coherent structures in edge plasmas, the radiation force on a cylindrical filament embedded in a background plasma is determined using the Maxwell stress tensor. A detailed study reveals that the radiation force has a different effect on filaments - those with densities higher than the background density are pulled in towards the source launching the waves, while the lower density filaments are pushed away. The reaction on a filament is large enough to be observed experimentally

Replication Data for USA and SA Social Connectedness and Controversial Topics Survey

This data is from a study focused on the perceived impact of controversial issues in society on social connectedness in the United States and South Africa. An online survey was used to collect perceptions on perceived impact

Mapping the Oral Resistome

This dataset provides the information used to analyse 15 articles found between 2015-2023 to create a map of the antimicrobial resistance in the human oral cavity. Datasets and search strategies are provided

Dataset for The Cost of COVID-19 Vaccine Delivery at Selected Sites in Bangladesh

This study is part of a multi-country research project that utilizes standardized methods to generate cost evidence on the delivery of COVID-19 (C19) vaccines in Vietnam, Bangladesh, and the Philippines in Asia, and Mozambique, Côte d’Ivoire, the Democratic Republic of Congo, and Uganda in Africa. This was a bottom-up costing study to estimate the cost of delivering C19 vaccines in Bangladesh through fixed and temporary vaccination sites. Fixed sites included ministry of health (MOH) hospital-based sites, non-MOH government hospitals, and outreach EPI centers, and temporary sites included school-based and mass campaign sites. The study included start up and recurrent costs incurred by the government and partners for all relevant activities. Data covered the full financial and economic cost incurred at fixed sites and the Expanded Program on Immunization (EPI) headquarters from April to June 2022, and specific time periods for temporary sites between November 2021 and November 2022, as well as labor data for fixed sites from February 2021 to June 2022. Data was collected from 38 vaccination sites, EPI headquarters, and from World Health Organization (WHO) and UNICEF, through a partnership between ThinkWell and the Institute of Health Economics (IHE). This study also estimated costs incurred by beneficiaries to receive the C19 vaccine at fixed urban sites, and a qualitative assessment on the funding flows and operational and financial challenges of the C19 vaccination program

Replication Data for: Can Large Language Models (or Humans) Disentangle Text?

Can Large Language Models (or Humans) Disentangle Text? Abstract: We investigate the potential of large language models (LLMs) to disentangle text variables—to remove the textual traces of an undesired forbidden variable in a task sometimes known as text distillation and closely related to the fairness in AI and causal inference literature. We employ a range of various LLM approaches in an attempt to disentangle text by identifying and removing information about a target variable while preserving other relevant signals. We show that in the strong test of removing sentiment, the statistical association between the processed text and sentiment is still detectable to machine learning classifiers post-LLM-disentanglement. Furthermore, we find that human annotators also struggle to disentangle sentiment while preserving other semantic content. This suggests there may be limited separability between concept variables in some text contexts, highlighting limitations of methods relying on text-level transformations and also raising questions about the robustness of disentanglement methods that achieve statistical independence in representation space if this is difficult for human coders operating on raw text to attain. Dataverse: This repository contains data from the human-coded and processed reviews. Paper link: arXiv.org/abs/2403.16584</a