“Oh,My God,I Hate You:” The Felt Experience of Being Othered for Being Thin

It is universally held among researchers and social critics that a thin ideal dominates current cultural conceptions of what is attractive, especially for women. Using interviews with eighteen women and men, this paper investigates an apparent paradox: how thin people negotiate a landscape where the attention they receive because of their thinness distresses them. Results indicate that thin people are often the target of unwanted comments about their size, comments produce an unpleasant state of self‐consciousness, and the expectation of unwanted social interaction will motivate thin individuals to avoid certain social situations. Results are interpreted in terms of thinness being a hypervisible condition that produces a breakdown of norms regarding civil inattention toward thinness and produces the experience of being othered by social perceivers.     

Learning Skinner’s Verbal Operants: Comparing an Online Stimulus Equivalence Procedure to an Assigned Reading

The purpose of the present study was to compare the effects of an online stimulus equivalence procedure to that of an assigned reading when learning Skinner’s taxonomy of verbal behavior. Twenty-six graduate students participated via an online learning management system. One group was exposed to an online stimulus equivalence procedure (equivalence group) that was designed to teach relations among the names, antecedents, consequences, and examples of each elementary verbal operant. A comparison group (reading group) read a chapter from a popular textbook. Tests for the emergence of selection-based and topography-based intraverbal responses were then conducted, as were tests for generalization and maintenance. Overall, results suggest that the online equivalence procedure was not significantly more effective in promoting topography-based responses than the assigned reading. However, performance on selection-based tests was enhanced by the online equivalence procedure as was performance on topography-based tests when participants were required to provide operant names in response to consequences or examples. On average, the equivalence group performed at a level that was 10 percentage points (i.e., a full letter grade) above that of the reading group. The viability of the equivalence-based procedure is discussed in relation to the assigned reading.     

#Funeral and Instagram: death,social media,and platform vernacular

This paper presents findings from a study of Instagram use and funerary practices that analysed photographs shared on public profiles tagged with ‘#funeral’. We found that the majority of images uploaded with the hashtag #funeral often communicated a person's emotional circumstances and affective context, and allowed them to reposition their funeral experience amongst wider networks of acquaintances, friends, and family. We argue that photo-sharing through Instagram echoes broader shifts in commemorative and memorialization practices, moving away from formal and institutionalized rituals to informal and personalized, vernacular practices. Finally, we consider how Instagram's ‘platform vernacular’ unfolds in relation to traditions and contexts of death, mourning, and memorialization. This research contributes to a broader understanding of how platform vernaculars are shaped through the logics of architecture and use. This research also directly contributes to the understanding of death and digital media by examining how social media is being mobilized in relation to death, the differences that different media platforms make, and the ways social media are increasingly entwined with the places, events, and rituals of mourning.     

An Alternative FMEA Method for Simple and Accurate Ranking of Failure Modes

Failure modes and effects analysis (FMEA) is a methodology for prioritizing actions to mitigate the effects of failures in products and processes. Although originally used by product designers, FMEA is currently more widely used in industry in Six Sigma quality improvement efforts. Two prominent criticisms of the traditional application of FMEA are that the risk priority number (RPN) used to rank failure modes is an invalid measure according to measurement theory, and that the RPN does not weight the three decision criteria used in FMEA. Various methods have been proposed to mitigate these concerns, including many using fuzzy logic. We develop a new ranking method in this article using a data‐elicitation technique. Furthermore, we develop an efficient means of eliciting data to reduce the effort associated with the new method. Subsequently, we conduct an experimental study to evaluate that proposed method against the traditional method using RPN and against an approach using fuzzy logic.     

Assessing capacity in the setting of self-neglect: development of a novel screening tool for decision-making capacity

Compared with older adults with disabilities and those who autonomously choose to live in squalor, self-neglect syndrome arises from a predicate state of vulnerability in frail older adults. This state of vulnerability is characteristically associated with a decline in decision-making capacity regarding the ability to care for and protect oneself. We developed the COMP Screen to evaluate vulnerable older adults to identify potential gaps in decision-making capacity using a screening tool. A total of 182 older adults were evaluated and consistent declines in cognitive ability and decision-making processes were present in this population. However, there were no significant differences between elders referred for self-neglect and matched older adults. These findings suggest that declines in decision-making processes are not uncommon in vulnerable older adults but traditional conceptualizations of decision-making capacity may be inadequate for differentiating the capacity for self-care and protection in elders who self-neglect.     

Nonparametric Identification and Estimation of Nonadditive Hedonic Models

This paper studies the identification and estimation of preferences and technologies in equilibrium hedonic models. In it, we identify nonparametric structural relationships with nonadditive heterogeneity. We determine what features of hedonic models can be identified from equilibrium observations in a single market under weak assumptions about the available information. We then consider use of additional information about structural functions and heterogeneity distributions. Separability conditions facilitate identification of consumer marginal utility and firm marginal product functions. We also consider how identification is facilitated using multimarket data.