The Permeable Border: Examining Responses to North American Integration in Video Art

Abstract

In this essay, I suggest that artistic production provides valuable insights into the nature of the Canada-US border during the late-twentieth century when significant changes were occurring to dominant understandings of Canada in relation to North America. Focusing on the medium of video art, I trace the sustained engagement of Canadian contemporary artists to respond to and comment on the move towards continental integration through free trade. I contextualize my discussion in relation to trade developments that opened Canada’s border with the US, such as the 1989 implementation of the Canada-US Free Trade Agreement. This agreement, along with the later North American Free Trade Agreement, led to increasing continental integration at the end of the twentieth century, as well as hope for hemispheric integration with the subsequent negotiations towards the Free Trade Area of the Americas. With attention to works by Lisa Steele and Kim Tomczak, Eva Manly, and Clive Robertson, I foreground cultural contributions to redefining the Canada-US borderlands. Here, I chart the artists’ intention to echo narratives of the border’s porousness and address the power dynamics between the Canadian state and its trade partners. Examining themes of cultural imperialism, colonialism, and national identity, I point to the importance of cultural production in assessing the borderlands and, more broadly, histories of free trade in North America.     

Infants of Depressed Mothers Show Reduced Gaze Activity During Mother–Infant Interaction at 4 Months

Gaze is one of the main means of communication in young infants, and it has been shown to be important for subsequent socio‐emotional and cognitive development. Maternal depression is a well‐known risk factor for disrupting mother–infant interactions, but findings regarding gaze behavior in infants of depressed versus nondepressed mothers have been ambiguous. In this study, we examined gaze duration and activity in a sample of 27 infants of mothers with postpartum depression (PPD) and 49 infants of nondepressed mothers. Maternal depressive symptoms were assessed with the Edinburgh Postnatal Depression Scale, and diagnoses were confirmed in clinical interview. Infant gaze was assessed during 4‐month face‐to‐face interactions using continuous timed‐event coding with high temporal resolution. Although we found no differences in gaze duration, infants of PPD mothers had both significantly less Gaze On and also less Gaze Off events. Findings suggest that PPD is related to reduced gaze activity during mother–infant interaction in 4‐month‐olds. This reduced activity may have long‐term negative consequences for child development.     

Parental Influence on Friendships Between Native and Immigrant Adolescents

Parental influence on friendships between native (N = 5,683) and immigrant (N = 3,371) adolescents (aged ± 15) was investigated with the CILS4EU data of pupils in German and Dutch school classes (N = 446) and parents. The researchers examined whether parents affect friendships across group boundaries by shaping the structural opportunities to establish out‐group friends and their children's out‐group attitudes. The results show that if parents have more out‐group friends and if they consider it less important to maintain in‐group traditions, their children have more out‐group friends. Part of this relationship is mediated by children's out‐group attitudes. Some evidence is found that the opportunity structure mediates the relationship between parental characteristics and adolescent out‐group friendship.     

Model free audit methodology for bias evaluation of tumour progression in oncology

Many oncology studies incorporate a blinded independent central review (BICR) to make an assessment of the integrity of the primary endpoint, progression free survival. Recently, it has been suggested that, in order to assess the potential for bias amongst investigators, a BICR amongst only a sample of patients could be performed; if evidence of bias is detected, according to a predefined threshold, the BICR is then assessed in all patients, otherwise, it is concluded that the sample was sufficient to rule out meaningful levels of bias. In this paper, we present an approach that adapts a method originally created for defining futility bounds in group sequential designs. The hazard ratio ratio, the ratio of the hazard ratio (HR) for the treatment effect estimated from the BICR to the corresponding HR for the investigator assessments, is used as the metric to define bias. The approach is simple to implement and ensures a high probability that a substantial true bias will be detected. In the absence of bias, there is a high probability of accepting the accuracy of local evaluations based on the sample, in which case an expensive BICR of all patients is avoided. The properties of the approach are demonstrated by retrospective application to a completed Phase III trial in colorectal cancer. The same approach could easily be adapted for other disease settings, and for test statistics other than the hazard ratio. Copyright © 2015 John Wiley & Sons, Ltd.     

Supplementing a survey with respondent Twitter data to measure e-cigarette information exposure

ABSTRACT

Social media data are increasingly used by researchers to gain insights on individuals’ behaviors and opinions. Platforms like Twitter provide access to individuals’ postings, networks of friends and followers, and the content to which they are exposed. This article presents the methods and results of an exploratory study to supplement survey data with respondents’ Twitter postings, networks of Twitter friends and followers, and information to which they were exposed about e-cigarettes. Twitter use is important to consider in e-cigarette research and other topics influenced by online information sharing and exposure. Further, Twitter metadata provide direct measures of user’s friends and followers as opposed to survey self-reports. We find that Twitter metadata provide similar information to survey questions on Twitter network size without inducing recall error or other measurement issues. Using sentiment coding and machine learning methods, we find Twitter can elucidate on topics difficult to measure via surveys such as online expressed opinions and network composition. We present and discuss models predicting whether respondents’ tweet positively about e-cigarettes using survey and Twitter data, finding the combined data to provide broader measures than either source alone.