Human social organizations are complex. Yet little research exists on autistic people's attitudes about social hierarchies. Clinicians and the medical establishment regard social deficits as a key aspect of autism. If social deficits are paramount, then we expect autistic people to have difficulty navigating social hierarchies. We reject the premise of social deficits (while acknowledging that social misunderstandings interfere in the daily life of autistics) but suggest that researchers learn by listening to what autistic adults say about social hierarchies. We review writings by autistic people, including advice books, memoirs, book reviews, online discussion posts, and the mission-statement of an autistic-led organization. These suggest that autistic people find status-seeking illogical and prefer egalitarian relationships. The consistency of these themes across different types of writings is a reason for researchers to systematically study reduced status-seeking in autistic individuals.
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http://dx.doi.org/10.1177/13623613231217057 | DOI Listing |
Biol Lett
January 2025
Department of Biological Sciences, The University of Memphis, Memphis, TN, USA.
It is unclear how habitat features alter animal responses to social instability. Only by uncovering such interactions can we fully understand the evolutionary drivers and fitness consequences of sociality. We capitalize on a management-induced manipulation of social stability in an island population of free-ranging feral horses (), living across three distinct habitat types.
View Article and Find Full Text PDFSci Rep
January 2025
School of Information Engineering, China University of Geosciences, Beijing, 100083, China.
Feature selection (FS) is a critical step in hyperspectral image (HSI) classification, essential for reducing data dimensionality while preserving classification accuracy. However, FS for HSIs remains an NP-hard challenge, as existing swarm intelligence and evolutionary algorithms (SIEAs) often suffer from limited exploration capabilities or susceptibility to local optima, particularly in high-dimensional scenarios. To address these challenges, we propose GWOGA, a novel hybrid algorithm that combines Grey Wolf Optimizer (GWO) and Genetic Algorithm (GA), aiming to achieve an effective balance between exploration and exploitation.
View Article and Find Full Text PDFPLoS Genet
January 2025
Department of Psychology, University of Texas at Austin, Austin, Texas, United States of America.
Social hierarchies are a common form of social organization across species. Although hierarchies are largely stable across time, animals may socially ascend or descend within hierarchies depending on environmental and social challenges. Here, we develop a novel paradigm to study social ascent and descent within male CD-1 mouse social hierarchies.
View Article and Find Full Text PDFSoc Sci Med
January 2025
Department of Social Anthropology, School of Social and Political Science, The University of Edinburgh, Scotland, UK. Electronic address:
Integrated Management of Childhood Illness (IMCI) is a strategy that aims to standardise clinical assessment and treatment of sick children. In this article, we examine the aspirations and unfolding of introducing a revised IMCI strategy in Bangladesh. We carried out ethnographic fieldwork among project implementors and in IMCI health service delivery settings in Kushtia district, including 36 semi-structured interviews with policymakers, programmers and IMCI service providers.
View Article and Find Full Text PDFBehav Anal Pract
December 2024
University of Kentucky, Lexington, KY USA.
Unlabelled: The purpose of this study was to extend the limited research on group stimulus preference assessment (SPA) procedures. The study occurred in two sections of a middle school special education classroom and included 20 students with multi-categorical disabilities. A paired stimulus group SPA was used to identify a preference hierarchy for each class, and results were validated using single case designs in which baseline conditions were compared to group contingency conditions with alternating sessions of the highest-preferred (high-p) and lowest-preferred (low-p) consequences.
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