New Mexico Junior College

This paper introduces the special issue on psychoanalysis and colonialism. As guest editors we also offer our own contribution to the topic. First, we connect the history of psychoanalysis with that of colonialism and distinguish concepts such as colonialism, coloniality, decolonization and decoloniality, as well as three perspectives on coloniality: Postcolonial theory, the decolonial turn, and the anticolonial struggle. Then we recapitulate psychoanalysis’s approaches to colonialism and coloniality, starting with Sigmund Freud’s ideas on primitivism, continuing with the psychoanalytic apologies for colonialism and delving into Freudian traces in the works of Oswald de Andrade, René Ménil, Wulf Sachs, Octave Mannoni, Frantz Fanon, Santiago Ramírez, Albert Memmi, Édouard Glissant, Ashis Nandy, Homi Bhabha, Edward Said, and current authors. Finally, we discuss colonial features, effects and uses of psychoanalysis, before moving on to summarize and comment on the articles included in this special issue.

Fiats provides a platform for research on the training and deployment of neural-network surrogate models for computational science. Fiats also supports exploring, advancing, and combining functional, object-oriented, and parallel programming patterns in Fortran 2023. As such, the Fiats name has dual expansions: “Functional Inference And Training for Surrogates” or “Fortran Inference And Training for Science.” Fiats inference and training procedures are pure and therefore satisfy a language constraint imposed on procedure invocations inside Fortran’s parallel loop construct: do concurrent. Furthermore, the Fiats training procedures are built around a do concurrent parallel reduction. Several compilers can automatically parallelize do concurrent on Central Processing Units (CPUs) or Graphics Processing Units (GPUs). Fiats thus aims to achieve performance portability through standard language mechanisms.

Journal Article Dreams for a Decade: International Nuclear Abolitionism and the End of the Cold War. By Stephanie Freeman Get access Dreams for a Decade: International Nuclear Abolitionism and the End of the Cold War By Stephanie Freeman ( Philadelphia: University of Pennsylvania Press, 2023. ix plus 316 pp. $45.00). Luke Griffith Luke Griffith New Mexico Junior College [email protected] Search for other works by this author on: Oxford Academic Google Scholar Journal of Social History, shaf023, https://doi.org/10.1093/jsh/shaf023 Published: 24 March 2025

Abstract Correlation coefficients and linear regression values computed from group averages can differ from correlation coefficients and linear regression values computed using individual scores. This observation known as the ecological fallacy often assumes that all the individual scores are available from a population. In many situations, one must use a sample from the larger population. In such cases, the computed correlation coefficient and linear regression values will depend on the sample that is chosen and the underlying sampling distribution. The sampling distribution of correlation coefficients and linear regression values for group averages will be identical to the sampling distribution for individuals for normally distributed variables for samples drawn from infinitely large continuous distributions. However, data that is acquired in practice is often acquired when sampling without replacement from a finite population. Our objective is to demonstrate through Monte Carlo simulations that thesampling distributions for correlation and linear regression will also be similar for individuals and group averages when sampling without replacement from normally distributed variables. These simulations suggest that when a sample from a population is selected, the correlation coefficients and linear regression values computed from individual scores will not be more accurate in estimating the entire population values compared to samples when group averages are used as long as the sample size is the same.