Contents Volume 54

Volume Contents

Contents Volume 54     

Impact of Gender Binarism on Hijras’ Life Course and Their Access to Fundamental Human Rights in Pakistan

This study adds to the growing body of knowledge on gender nonconformity aspects of heteronormativity by examining its impact on the life course of hijras and their access to fundamental human rights in Pakistan. Drawing on 50 semistructured interviews conducted in two sites, the findings suggest that the participants’ lived experiences associated with gender nonconformity significantly influenced the direction of their life course and their ability to have access to human rights. These experiences spanned from childhood to elderhood across a wide range of settings, such as family, school, guru dera (residence headed by a hijra guru), workplace, and interactions with authorities. The participants’ human rights were not recognized, resulting in abuse, social stigma, discrimination against them, and their exclusion from mainstream society. Finally, implications are drawn for public policy and future research on third gender concerns in Pakistan and elsewhere.     

What is DIstinctive about Mediation? Experience and Expertise in Media

If great material resources and specialist technical knowledge are no longer required for individuals to act as mass communicators, what resources are required? This paper reviews social theories of production that can help to shed light on the matter. It explores the nature of knowledge required in the production of content meant for a mass audience, and the manner of its validation. The paper progressively conceptualizes mass communication or mediation in terms of ‘media experience and expertise.’ It begins by framing the discussion of media production in terms of mediation and symbolic/media power, and teasing out knowledge and competence as problems that merit special attention. It then draws on two parallel areas of scholarship to think through the blurring of formerly neat boundaries between interpersonal and mass communication; producer and audience; and expert and layperson. First, the renewed interest in the lived experience of professional producers that is spurred by media production ethnographers. Second, ongoing debates in Science and Technology Studies (STS) around knowledge production and public participation. The paper concludes with a discussion of outstanding issues with respect to media theory and proposals for future work.     

How Does the Individual Find a Place in French Sociology?

In France over the last four decades increasing interest in the small, the specific and the subjective can be observed. This involves a shift away from a holist approach towards social analysis focused on the individual and often carried out by researchers as specified and reflexive individuals. To be understood, this movement must be situated in the context of the development of French sociology, largely dominated at its origins by Durkheimian sociology. Thus, when the individual has appeared this is often not in his or her own right, but as representative of a social trend or group. As from the 1980s, new perspectives, very often imported from American sociology bring into play individual action, emotions and bodies, often studied as socially shaped. More recently, individual characteristics have been examined as a constraint on the possibilities of action, and discussion has also revolved around the reality of the person as an autonomous subject.     

An Individual Mixed‐Evaluation Method for Career Intervention

Economic issues linked to career counseling are a cause for concern to policy makers in developed countries because they expect career practitioners to provide evidence of the efficiency of career counseling interventions. The aim of this study was to test an individual evaluation method mixing time series (outcomes) and life narrative (processes). The method used 5 items related to 1 client's career decision self‐efficacy and studied the evolution of those items throughout the intervention of 1 career counselor (43 days). Changepoint analysis helped in identifying the changes that have to be taken into account for time series and which are contextualized in the client's verbatim analysis. This mixed method highlighted that the career counselor's intervention increased the client's career decision self‐efficacy. Practitioners could use the methodology proposed in this article to evaluate their interventions. They could also report their practice to clients, employers, and decision makers.     

Comment se font les administrations : analyser des activités administratives constituantes

Between studies in historical sociology on changes in public administrations and microsociological analyses of the ordinary work done by civil servants, an intermediate perspective is advocated, one centered on “constituent administrative activities”. Following a panorama of the varied researches on public administrations, the proposal is made to focus on the arrangements that shape administrations and form their essential operations. Recruitment, personnel evaluation, the division of labor, the restructuring of hierarchies and the activities of keeping written records and statistics (writing and counting) should be the subjects of study. When placed in their historical and social contexts, they help us better understand how public administrations last and change. Discussing the scale of analysis and making comparisons over time and in space, this article presents the other contributions to this special issue. Less linear approaches are suggested for analyzing the historical processes of the “bureaucratization” and “managerialization” of administrative systems.     

Making freedom work: the long transition from slavery to freedom during the Haitian Revolution

The 1791 slave revolt in Saint-Domingue (Haiti) and the first French abolition of slavery in 1793–1794 are generally seen as epochal events that redefined labor relations in the French Caribbean. But a close analysis of the labor codes promulgated during and after the Haitian Revolution indicates that elites were eager to reconcile the ideal of universal freedom with the needs of plantation agriculture, resulting in a succession of oppressive labor systems that subsisted until the 1820s.     

Mean estimation with data missing at random for functional covariables

In a missing-data setting, we want to estimate the mean of a scalar outcome, based on a sample in which an explanatory variable is observed for every subject while responses are missing by happenstance for some of them. We consider two kinds of estimates of the mean response when the explanatory variable is functional. One is based on the average of the predicted values and the second one is a functional adaptation of the Horvitz–Thompson estimator. We show that the infinite dimensionality of the problem does not affect the rates of convergence by stating that the estimates are root-n consistent, under missing at random (MAR) assumption. These asymptotic features are completed by simulated experiments illustrating the easiness of implementation and the good behaviour on finite sample sizes of the method. This is the first paper emphasizing that the insensitiveness of averaged estimates, well known in multivariate non-parametric statistics, remains true for an infinite-dimensional covariable. In this sense, this work opens the way for various other results of this kind in functional data analysis.     

Correlation and variable importance in random forests

This paper is about variable selection with the random forests algorithm in presence of correlated predictors. In high-dimensional regression or classification frameworks, variable selection is a difficult task, that becomes even more challenging in the presence of highly correlated predictors. Firstly we provide a theoretical study of the permutation importance measure for an additive regression model. This allows us to describe how the correlation between predictors impacts the permutation importance. Our results motivate the use of the recursive feature elimination (RFE) algorithm for variable selection in this context. This algorithm recursively eliminates the variables using permutation importance measure as a ranking criterion. Next various simulation experiments illustrate the efficiency of the RFE algorithm for selecting a small number of variables together with a good prediction error. Finally, this selection algorithm is tested on the Landsat Satellite data from the UCI Machine Learning Repository.     

On Combining Wavelets Expansion and Sparse Linear Models for Regression on Metabolomic Data and Biomarker Selection

Wavelet thresholding of spectra has to be handled with care when the spectra are the predictors of a regression problem. Indeed, a blind thresholding of the signal followed by a regression method often leads to deteriorated predictions. The scope of this article is to show that sparse regression methods, applied in the wavelet domain, perform an automatic thresholding: the most relevant wavelet coefficients are selected to optimize the prediction of a given target of interest. This approach can be seen as a joint thresholding designed for a predictive purpose. The method is illustrated on a real world problem where metabolomic data are linked to poison ingestion. This example proves the usefulness of wavelet expansion and the good behavior of sparse and regularized methods. A comparison study is performed between the two-steps approach (wavelet thresholding and regression) and the one-step approach (selection of wavelet coefficients with a sparse regression). The comparison includes two types of wavelet bases, various thresholding methods, and various regression methods and is evaluated by calculating prediction performances. Information about the location of the most important features on the spectra was also obtained and used to identify the most relevant metabolites involved in the mice poisoning.