North Central Sociological Association Presidential Address: What the World Needs Now: A Model of Rational Altruism

Abstract

This address challenges the widely held view that social-economic rationality is rooted in egoistical behavior. Based on an examination of the concept of altruism in sociology, the discussion features the outlines of a formal alternative model of motivation. The model includes altruism as a legitimate “rational choice.”     

Building competency in self-care for social work students: a course-based case study

ABSTRACT

There is increasing recognition that social work educators must do more to ensure that social work students transitioning into the profession are prepared to engage in adept self-care practices. However, documented curricular efforts targeted at meeting this aim are few. This paper documents the impact of a credit-bearing self-care course on student (N = 40) competency about self-care. The course occurred in a social work education program at a large public institution in the United States. The researcher used a pre-experimental (e.g. pre/post) design to assess course outcomes. Results indicate significant improvements in student knowledge about self-care, skills related to engaging in self-care practices, and value related to self-care. After a review literature, this paper will provide a foundational overview of the course, delineate outcome variables and measures, explicate evaluative findings, and discuss salient implications derived from this endeavor.     

Conceptualizing Adoptive Parent Support Groups: A Mixed-Method Process

Indubitably, the process of adopting a young person, no matter the context, can be challenging. To assist adoptive parents in coping with these challenges, entities (e.g., social service/adoption agencies, etc.) have historically fostered the development of support groups. Despite the intent of these efforts, many adoptive parent support groups utilize frameworks that are not congruent with meeting the needs of group participants. This paper examines the process for using Concept Mapping to conceptualize effective support groups based on the perspectives of adoptive parents in one southeastern state.     

A Solar-Centric Approach to Improving Estimates of Exposure Processes for Coronal Mass Ejections

We present a solar-centric approach to estimating the probability of extreme coronal mass ejections (CME) using the Solar and Heliospheric Observatory (SOHO)/Large Angle and Spectrometric Coronagraph Experiment (LASCO) CME Catalog observations updated through May 2018 and an updated list of near-Earth interplanetary coronal mass ejections (ICME). We examine robust statistical approaches to the estimation of extreme events. We then assume a variety of time-independent distributions fitting, and then comparing, the different probability distributions to the relevant regions of the cumulative distributions of the observed CME speeds. Using these results, we then obtain the probability that the velocity of a CME exceeds a particular threshold by extrapolation. We conclude that about 1.72% of the CMEs recorded with SOHO LASCO arrive at the Earth over the time both data sets overlap (November 1996 to September 2017). Then, assuming that 1.72% of all CMEs pass the Earth, we can obtain a first-order estimate of the probability of an extreme space weather event on Earth. To estimate the probability over the next decade of a CME, we fit a Poisson distribution to the complementary cumulative distribution function. We inferred a decadal probability of between 0.01 and 0.09 for an event of at least the size of the large 2012 event, and a probability between 0.0002 and 0.016 for the size of the 1859 Carrington event.     

Discriminating among probability weighting functions using adaptive design optimization

Probability weighting functions relate objective probabilities and their subjective weights, and play a central role in modeling choices under risk within cumulative prospect theory. While several different parametric forms have been proposed, their qualitative similarities make it challenging to discriminate among them empirically. In this paper, we use both simulation and choice experiments to investigate the extent to which different parametric forms of the probability weighting function can be discriminated using adaptive design optimization, a computer-based methodology that identifies and exploits model differences for the purpose of model discrimination. The simulation experiments show that the correct (data-generating) form can be conclusively discriminated from its competitors. The results of an empirical experiment reveal heterogeneity between participants in terms of the functional form, with two models (Prelec-2, Linear-in-Log-Odds) emerging as the most common best-fitting models. The findings shed light on assumptions underlying these models.     

THE NEW MEDIA AND OUR POLITICAL COMMUNICATION DISCONTENTS: DEMOCRATIZING CYBERSPACE

This article argues that the new interactive media have a 'vulnerable potential' to enhance public communications and enrich democracy, which can be realized only through appropriate policy support and imaginative institution building. After outlining the main shortcomings of the prevailing political communication system, certain elements of redemptive potential, inherent in distinctive features of the Internet, are identified. The policy implications of this analysis are then drawn for the public-service obligations of mainstream media, to ensure open access to new media platforms, and to create a 'civic commons' in cyberspace.     

Competing Failure Risk Analysis Using Evidence Theory

Safety systems are important components of high-consequence systems that are intended to prevent the unintended operation of the system and thus the potentially significant negative consequences that could result from such an operation. This presentation investigates and illustrates formal procedures for assessing the uncertainty in the probability that a safety system will fail to operate as intended in an accident environment. Probability theory and evidence theory are introduced as possible mathematical structures for the representation of the epistemic uncertainty associated with the performance of safety systems, and a representation of this type is illustrated with a hypothetical safety system involving one weak link and one strong link that is exposed to a high temperature fire environment. Topics considered include (1) the nature of diffuse uncertainty information involving a system and its environment, (2) the conversion of diffuse uncertainty information into the mathematical structures associated with probability theory and evidence theory, and (3) the propagation of these uncertainty structures through a model for a safety system to obtain representations in the context of probability theory and evidence theory of the uncertainty in the probability that the safety system will fail to operate as intended. The results suggest that evidence theory provides a potentially valuable representational tool for the display of the implications of significant epistemic uncertainty in inputs to complex analyses.     

Co‐Present Conversation as “Socialized Trance”: Talk,Involvement Obligations,and Smart‐Phone Disruption

In an era where digital and co‐present involvements become entangled, the role of face‐to‐face conversation now vies with mediated communication. Applying insights provided by Erving Goffman, we explore conversational interaction and consider how engrossing face‐to‐face conversation can be understood as a form of socialized trance. We explore how this interaction represents one type of “involvement obligation” that can become disrupted and, increasingly, uniquely impacted by mediated involvements that are enabled through mobile and “smart” devices. The crux of the argument is considered in the context of a burgeoning digital era where conversation is found to become meshed together in uneven ways with mediated interaction. We highlight the efficacy of Goffman's approach with regards to the current information environment, providing insights into how engrossing conversation and its involvement obligations are impacted by mediated interactions and how breaches of conduct are experienced. A video abstract is available at https://youtu.be/ulL8mMN4oig .     

Modeling Repeatable Events Using Discrete‐Time Data: Predicting Marital Dissolution

I join two methodologies by illustrating the application of multilevel modeling principles to hazard‐rate models with an emphasis on procedures for discrete‐time data that contain repeatable events. I demonstrate this application using data taken from the 1995 National Survey of Family Growth (NSFG) to ascertain the relationship between multiple covariates and risk of subsequent marital dissolution. I consider both fixed‐ and random‐effects versions of the multilevel model, as well as a Generalized Estimating Equation alternative to estimating random effects. I compare results obtained from the various estimators, noting why differences occur, and recommend when to choose the various alternatives. I also provide a set of SAS and STATA programs that can be used to analyze the NSFG data.