Exploring in Silence: Hearing and Deaf Infants Explore Objects Differently Before Cochlear Implantation

Infant development has rarely been informed by the behavior of infants with sensory differences despite increasing recognition that infant behavior itself creates sensory learning opportunities. The purpose of this study of object exploration was to compare the behavior of hearing and deaf infants, with and without cochlear implants, in order to identify the effects of profound sensorineural hearing loss on infant exploration before cochlear implantation, the behavioral effects of access to auditory feedback after cochlear implantation, and the sensory motivation for exploration behaviors performed by hearing infants as well. The results showed that 9‐month‐old deaf infants explored objects as often as hearing infants but they used systematically different approaches and less variation before compared to after cochlear implantation. Potential associations between these early experiences and later learning are discussed in the context of embodied developmental theory, comparative studies, and research with adults. The data call for increased recognition of the active sensorimotor nature of infant learning and future research that investigates differences in sensorimotor experience as potential mechanisms in later learning and sequential memory development.     

Checking validity of monotone domain mean estimators

Estimates of population characteristics such as domain means are often expected to follow monotonicity assumptions. Recently, a method to adaptively pool neighbouring domains was proposed, which ensures that the resulting domain mean estimates follow monotone constraints. The method leads to asymptotically valid estimation and inference, and can lead to substantial improvements in efficiency, in comparison with unconstrained domain estimators. However, assuming incorrect shape constraints may lead to biased estimators. Here, we develop the Cone Information Criterion for Survey Data as a diagnostic method to measure monotonicity departures on population domain means. We show that the criterion leads to a consistent methodology that makes an asymptotically correct decision choosing between unconstrained and constrained domain mean estimators. The Canadian Journal of Statistics 47: 315–331; 2019 © 2019 Statistical Society of Canada     

Women and border policing at the edges of Europe

While states around the world have responded to mass mobility by increasing border policing, our knowledge of the daily reality of that form of policing remains limited. How migrant women are policed has been particularly neglected. The political and practical difficulty of examining the context, process and experience of border control practices appears often to be insurmountable. This article contributes to filling some of the gaps in our knowledge by drawing on ethnographic data collected over a 12-month period in Greek immigration detention centres from 2011 to 2012. In it we examine the experience of policing and irregular entry across the Greek Turkey border – an entry-point to Europe that is routinely regarded as being in crisis. As we will demonstrate, border policing at this site is capricious and unpredictable. It is also highly racialised and gendered.     

Recognizing Structural Nonidentifiability: When Experiments Do Not Provide Information About Important Parameters and Misleading Models Can Still Have Great Fit

In the quest to model various phenomena, the foundational importance of parameter identifiability to sound statistical modeling may be less well appreciated than goodness of fit. Identifiability concerns the quality of objective information in data to facilitate estimation of a parameter, while nonidentifiability means there are parameters in a model about which the data provide little or no information. In purely empirical models where parsimonious good fit is the chief concern, nonidentifiability (or parameter redundancy) implies overparameterization of the model. In contrast, nonidentifiability implies underinformativeness of available data in mechanistically derived models where parameters are interpreted as having strong practical meaning. This study explores illustrative examples of structural nonidentifiability and its implications using mechanistically derived models (for repeated presence/absence analyses and dose–response of Escherichia coli O157:H7 and norovirus) drawn from quantitative microbial risk assessment. Following algebraic proof of nonidentifiability in these examples, profile likelihood analysis and Bayesian Markov Chain Monte Carlo with uniform priors are illustrated as tools to help detect model parameters that are not strongly identifiable. It is shown that identifiability should be considered during experimental design and ethics approval to ensure generated data can yield strong objective information about all mechanistic parameters of interest. When Bayesian methods are applied to a nonidentifiable model, the subjective prior effectively fabricates information about any parameters about which the data carry no objective information. Finally, structural nonidentifiability can lead to spurious models that fit data well but can yield severely flawed inferences and predictions when they are interpreted or used inappropriately.     

Navigating the gendered academy: women in social work academia

ABSTRACT

Women fare less well than men across all academic disciplines: they are less likely to be promoted, they earn less, and many more professors are men. There has, however, been little analysis to date of the experience of women in social work education, a discipline that has historically had higher representation of female staff and students. This study set out to explore women in the social work academy through a case-study of social work education in Scotland. A mixed-methods approach was used, including a review of relevant literature; an online survey of women and men academics in social work education; and semi-structured interviews with female social work leaders, past and present. The study found that women in the social work academy faced the same pressures as other women in higher education; some of these pressures were also shared by men. Most significant, however, was the extent to which women in social work academia experienced twin challenges, firstly, as female academics and secondly, as female social work academics in a discipline that struggles for recognition in the academy. We conclude that this makes for a contradictory and, at times, ambiguous experience for women as they navigate the gendered academy.     

Truth® ads,receptivity, and motivation to use or quit tobacco among college students

Abstract

Objective: Examine receptivity and motivation to use/quit tobacco among college students after viewing Truth ads. Participants: Random sample of 10,000 college students invited to complete online survey February 2016 (8.5% response rate). Methods: Quasi-experimental. Participants (N?=?854) watched four ads and answered survey items for each ad. Results: Students rated ad receptivity and decreased motivation to use tobacco higher for the Catmageddon ad than the others. Regardless of ad, men and current cigarette smokers reported lower receptivity. Younger age was associated with lower motivation to use tobacco for all ads. Tobacco users reported greater motivation to quit with the Catmageddon ad. Conclusions: College students were receptive to the Truth ads, and many indicated lower motivation to use tobacco. Men, older college students, and current cigarette smokers were less receptive to the ads, reinforcing the need to develop tailored campaigns to reach these subgroups.     

Disaster Relief as Social Action: A Weberian Look at Postdisaster Donation Behavior

Disaster relief involves a broad range of participants, which often results in a disjunction between actual disaster needs and the perception of appropriate strategies in relief provision. This research examines data collected through interviews with donation drive operators responding to Superstorm Sandy in 2012 and the May 2013 Oklahoma tornadoes. Using Weber's ideal types of social action to understand motivations for engaging in disaster relief, this article argues that motivations for participating in and organizing such drives influence donation strategies, and these motivations can be used to explain persistent donation of nonuseful materiel items. Findings indicate several different motivations for involvement and that donation type appeared linked to motivation. We suggest that motivation for engaging in social action is a valuable approach to better understanding donation behavior and, consequently, addressing the social problem of materiel convergence in the postdisaster environment.     

Unequally Adrift: How Social Class and College Context Shape Students’ Mentorship Experiences

Faculty mentorship is a highly advantageous yet under-explored form of social capital which can grant access to co-curriculars (e.g., research assistantships), ensure strong letters of recommendation, and more. It is also typically informal and dependent on student initiative, requiring that students be skilled at engaging educational authority figures. Privileged students are most likely to have such skills as part of their dominant cultural capital, making faculty mentorship a site of social reproduction. To explore variations in this process, I compare two institution types: a small, teaching/undergraduate-focused regional university and a large, research-intensive flagship. In interviews with 68 working- and upper-middle-class students, I find that college context mediates the relationship of class background and faculty mentorship. Upper-middle-class students fostered advantageous faculty relationships at both universities, but working-class students diverged: at the flagship, they rarely approached professors in search of mentorship, while those at the regional university described close, beneficial connections with professors. I discuss working-class students’ dissimilar experiences in terms of each university’s structural and cultural characteristics (organizational habitus), particularly their institutional focus and size. I argue that through their particular organizational features, colleges can both reproduce and reduce inequalities, challenging the determinacy of precollege socialization in education.     

Landscape Context Influences the Abundance and Richness of Native Lady Beetles Occupying Urban Vacant Land

Urban Ecosystems - Urban insect communities are structured by hierarchical filters including regional processes, human facilitation, and species interactions. We sought to inform future urban...     

Comfort Women: Enhancing Students’ Global Awareness through Human Right Education

Abstract

Teaching about the comfort women of World War II offers a compelling case study for the social studies classroom and human rights education. The topic will educate students to become knowledgeable about the larger world and its dark histories that have been omitted or scarcely mentioned in U.S. history textbooks. This article provides high school social studies teachers with the historical background of comfort women, rationales for including this topic in social studies curriculum, and teaching strategies and resources that teachers can use in their classrooms.