Semantic Analyzer of Schemata Organization (SASO)

A menu-driven software system was developed to implement schemata organization in a constraint-satisfaction neural network. The current neural-net model present several advantages and modifications over previous related models. On the one hand, the schemata behavior shown by the present model is based on conceptual definitions and ratings obtained empirically from human subjects rather than on the idiosyncratic knowledge database of a single programmer. On. the other hand, this property is most valuable to experimental research in which the current knowledge status of the subjects is critical for the experiments (e.g., word-recognition experiments).     

Brain-Injured Footballers,Voluntary Choice and Social Goods. A Reply to Corlett

ABSTRACT

In this essay, we respond to Angelo Corlett’s criticism of our paper ‘Ethics, Brain Injuries, and Sports: Prohibition, Reform, and Prudence’. To do so, first, we revisit certain assumptions and arguments Corlett makes concerning intercollegiate football and brain injuries in his 2014 paper ‘Should intercollegiate football be eliminated?’. Second, we identify and criticize two key elements in his response regarding (a) ‘luck egalitarianism’, and (b) ‘public goods’. We conclude by reaffirming our critical reading of Corlett’s original 2014 paper and by identifying further elements (i) luck and the nature of individual responsibility; and (ii) the nature of sports as public rather than merely private goods, that he would have to address for his latter 2018 position to hold true.     

Housing insecurity and intersecting social determinants of health among transgender people in the USA: A targeted ethnography

Abstract

Background: Housing is an important social determinant of health (SDOH). Transgender people face a unique blend of discrimination and compromised social services, putting them at risk for housing insecurity and associated public health concerns.

Aims: This targeted ethnography explores housing insecurity as a SDOH among transgender people in the U.S.

Methods: In-depth interviews were conducted with transgender people (n?=?41) throughout the U.S.A., identified through purposive sampling. A semi-structured guide was used to elicit personal stories and peer accounts of insecure housing experiences and coping strategies. Interviews were audio recorded and transcribed. Data was coded, sorted, and analyzed for key themes.

Results: Responses revealed pervasive housing insecurity and inter-related challenges. Respondents discussed how intersecting identities create unique constellations of vulnerability, which “intersect like a star.” Financial insecurity and interpersonal rejection were lead housing insecurity causes, often resulting in psychological strain, which was sometimes addressed with substances and sexual risk-taking. These factors were cyclically accompanied by financial and employment insecurity and a cascade of unmet social needs. Social support facilitated coping.

Discussion: Findings support increasing transgender housing security intervention resources that address intersecting and cyclical discrimination, trauma, housing, employment, and health issues.     

How to separate coordinate and categorical spatial relation components in integrated spatial representations: A new methodology for analysing sketch maps

Spatial relations between landmarks can be represented by means of categories and coordinates. In the present research, this paradigm was applied to sketch maps based on information acquired in goal-directed behaviour of exploration of a university campus area. The first aim was to investigate whether categorical and coordinate information can be considered conceptually independent in sketch maps. The second aim was to assess which kind of distance measure served better to represent coordinate information in the present case study, and finally to assess the factorial structure of coordinate and categorical data. Analytic methodology as well as statistical analysis were found to confirm that separating coordinate and categorical components was formally as well as empirically appropriate. A series of confirmatory factor analyses showed the best fit for the model with two correlated components, as well as an acceptable reliability of measures emerged. The two components were moderately correlated. Moreover, the adoption of Manhattan distance seemed to be the most effective method to represent coordinate spatial relations in spatial sketch maps of areas acquired through navigation.