Frontiers in Social Science features new research in the flagship journals of the Social Science Research Council’s founding disciplinary associations. Every month we publish a new selection of articles from the most recent issues of these journals, marking the rapid advance of the frontiers of social and behavioral science.
Interviews conducted across 3 states on currently incarcerated or recently released men provide insight into why and when people in prison politically mobilize.
Prior studies cast U.S. imprisonment as politically demobilizing. This article complicates that proposition by exploring when, and how, threat under penal confinement leads people to mobilize. Using interviews with currently incarcerated and recently released men across three states, I show that although imprisonment generally fosters political inaction, collective mobilization does arise under certain conditions. First, people in prison mobilize in response to embodied threats—fundamental threats eliciting visceral reactions that signal future harm (i.e., premature death or permanent incapacitation). Second, to collectively mobilize, a subpopulation of similarly threatened prisoners must be present and see the threats as a shared problem. Collective prisoner mobilization is more likely when both conditions are present; mobilization is unlikely when neither condition is present; and individual political contention is more likely when conditions are partially present. This range of political responses among incarcerated people is more dynamic than previously reported. Imprisonment has selective political effects, mobilizing the most repressed individuals within prison to devise new strategies to contest their repression.
Researchers propose a novel spatial statistical modeling framework to measure the properties of seabed sediments on the North West Shelf of Australia.
For offshore structures like wind turbines, subsea infrastructure, pipelines, and cables, it is crucial to quantify the properties of the seabed sediments at a proposed site. However, data collection offshore is costly, so analysis of the seabed sediments must be made from measurements that are spatially sparse. Adding to this challenge, the structure of the seabed sediments exhibits both nonstationarity and anisotropy. To address these issues, we propose GeoWarp, a hierarchical spatial statistical modeling framework for inferring the 3-D geotechnical properties of subsea sediments. GeoWarp decomposes the seabed properties into a region-wide vertical mean profile (modeled using B-splines), and a nonstationary 3-D spatial Gaussian process. Process nonstationarity and anisotropy are accommodated by warping space in three dimensions and by allowing the process variance to change with depth. We apply GeoWarp to measurements of the seabed made using cone penetrometer tests (CPTs) at six sites on the North West Shelf of Australia. We show that GeoWarp captures the complex spatial distribution of the sediment properties, and produces realistic 3-D simulations suitable for downstream engineering analyses. Through cross-validation, we show that GeoWarp has predictive performance superior to other state-of-the-art methods, demonstrating its value as a tool in offshore geotechnical engineering. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.