Spaces of Pride: A Visual Ethnography of Gay Pride Parades in Italy and the United Kingdom

Gay pride parades represent an active site of production of lesbian, gay, bisexual, transgender (LGBT), intersexual and queer identities, featuring a spatial and social articulation of political and human rights claims. While the multiplication of these events in different countries suggests the existence of a coherent and cohesive community which shares the same collective identity beyond national borders, different patterns in the organisation, part-taking and social and political connotations given to these events can be observed in different contexts. By means of a comparative visual ethnography of Italian and British Gay Pride Parades, this article investigates how the creation, mobilisation and challenge of quasi-normative LGBT identities occur within the spatial context of gay pride marches. It is argued, in particular, that while gay pride parades are sites in which the socio-political status quo can be successfully challenged, participants are also faced with the possibility of falling prey to dynamics of identity commodification and homonationalism which may ultimately deprive their claims of their subversive potential.     

“Phil's Calling Grandma… ”: The Role of External Support in Human–Companion Animal Identity Pairings

This exploratory paper deals with human–animal role identity pairings such as parent–child or sibling–sibling and the necessity of support from other actors both for the formation of these idiosyncratic identities, as well as for their situational placement in social environments not limited to the nonhuman animal. Taken from a qualitative study examining identity formation counter to the nonhuman animal, I use in‐depth interviews of both people with and without human children to demonstrate how human‐to‐human relationships are formed by categorizing the companion animal as a “child” of sorts within the family structure. These relationships prove integral to the continued development and enactment of identities such as the animal “parent” or the animal “sibling” via three different groups: their own parents, partners, and, in one case, adult siblings. This creates positive affect and commitment to the identity across other social situations. Implications of these findings for identity theory and family research are discussed.     

Social Psychology,Consumer Culture and Neoliberal Political Economy

Consumer culture and neoliberal political economy are often viewed by social psychologists as topics reserved for anthropologists, economists, political scientists and sociologists. This paper takes an alternative view arguing that social psychology needs to better understand these two intertwined institutions as they can both challenge and provide a number of important insights into social psychological theories of self‐identity and their related concepts. These include personality traits, self‐esteem, social comparisons, self‐enhancement, impression management, self‐regulation and social identity. To illustrate, we examine how elements of consumer culture and neoliberal political economy intersect with social psychological concepts of self‐identity through three main topics: ‘the commodification of self‐identity’, ‘social categories, culture and power relations’ and the ‘governing of self‐regulating consumers’. In conclusion, we recommend a decommodified approach to research with the aim of producing social psychological knowledge that avoids becoming enmeshed with consumer culture and neoliberalism.     

生活世界视域中的公民身份认同探究

生活世界开启了人类活动的空间，同样它以自身的整体性纠正着人类前行道路的偏差，它使得人们在社会之中建构的各种权利获得了合法性和合理性支撑，同样，它促使人们认识到，对共同体的忠诚是公民履行自己的义务和责任，人类必须对生活世界或者栖息之地有归属感和认同感，对自己生活的共同体应该负有责任感，正是这种责任促使人们产生一种生态公民身份，以便人们更好地处理人对自然关系，达到人与自然和谐相处。     

On Pitman's measure of closeness of k-records

Pitman closeness of both the upper and lower k-record statistics to the population quantiles of a location–scale family of distributions is studied. For the population median, the Pitman-closest k-record is also determined. In the case of symmetric distributions, the Pitman closeness probabilities of k-record statistics are shown to be distribution-free, and explicit expressions are also derived for these probabilities. Exact expressions are derived for the required probabilities for uniform and exponential distributions. Numerical results are given for these families and also the Pitman-closest k-record is determined.     

Alternative estimators in logistic regression when the data are collinear

Logistic regression using conditional maximum likelihood estimation has recently gained widespread use. Many of the applications of logistic regression have been in situations in which the independent variables are collinear. It is shown that collinearity among the independent variables seriously effects the conditional maximum likelihood estimator in that the variance of this estimator is inflated in much the same way that collinearity inflates the variance of the least squares estimator in multiple regression. Drawing on the similarities between multiple and logistic regression several alternative estimators, which reduce the effect of the collinearity and are easy to obtain in practice, are suggested and compared in a simulation study.     

On tests of symmetry,marginal homogeneity and quasi-symmetry in two-way contingency tables based on minimum φ-divergence estimator with constraints

The restricted minimum φ-divergence estimator, [Pardo, J.A., Pardo, L. and Zografos, K., 2002, Minimum φ-divergence estimators with constraints in multinomial populations. Journal of Statistical Planning and Inference, 104, 221–237], is employed to obtain estimates of the cell frequencies of an I×I contingency table under hypotheses of symmetry, marginal homogeneity or quasi-symmetry. The associated φ-divergence statistics are distributed asymptotically as chi-squared distributions under the null hypothesis. The new estimators and test statistics contain, as particular cases, the classical estimators and test statistics previously presented in the literature for the cited problems. A simulation study is presented, for the symmetry problem, to choose the best function φ₂ for estimation and the best function φ₁ for testing.     

Optimal determination of the parameters of some biased estimators using genetic algorithm

In this paper, some new algorithms for estimating the biasing parameters of the ridge, Liu and two-parameter estimators are introduced with the help of genetic algorithm (GA). The proposed algorithms are based on minimizing some statistical measures such as mean square error (MSE), mean absolute error (MAE) and mean absolute prediction error (MAPE). At the same time, the new algorithms allow one to keep the condition number and variance inflation factors to be less than or equal to ten by means of the GA. A numerical example is presented to show the utility of the new algorithms. In addition, an extensive Monte Carlo experiment is conducted. The numerical findings prove that the proposed algorithms enable to eliminate the problem of multicollinearity and minimize the MSE, MAE and MAPE.     

Bayesian Network Structure Learning with Permutation Tests

In literature there are several studies on the performance of Bayesian network structure learning algorithms. The focus of these studies is almost always the heuristics the learning algorithms are based on, i.e., the maximization algorithms (in score-based algorithms) or the techniques for learning the dependencies of each variable (in constraint-based algorithms). In this article, we investigate how the use of permutation tests instead of parametric ones affects the performance of Bayesian network structure learning from discrete data. Shrinkage tests are also covered to provide a broad overview of the techniques developed in current literature.