“Who generates this city”? Socialist strategy in contemporary London

This essay, based on a “militant ethnography” of the attempts of the small radical grassroots activist group, Our London (a pseudonym), to mobilize a collective oppositional politics through activities around an election campaign, engages critically with E. Laclau and C. Mouffe's arguments on discourse and collectivity in Hegemony and Socialist Strategy (London: Verso, 1985). I argue, on the basis of my findings, that while their model does provide insights that help describe the process of building collectivity from among disparate perspectives and identities, we need to go beyond a focus on discourse alone and consider the ways politics is shaped by material contexts. This is necessary if we are to understand the continued appeal of class politics as well as the difficulties in mobilizing collectivity in highly unequal and fragmented cities. From an activist perspective, the essay also highlights how developing a conception of collective interests and a critique of overarching systems of exploitation can be important in building political unity.     

The status of women among the scheduled tribes in India

The scheduled tribes constitute about 8.2% of the total population in India. Although there is a large volume of anthropological literature describing the characteristics of and differences among the various tribes in India, little inter-disciplinary research has been done to uncover the status of women among the tribal population in India. This paper will analyze the status of women among the scheduled tribes in India. Frequent comparisons will be made to the social and cultural practices of the scheduled tribes, mainstream Hindus, as well as the scheduled caste population. Through this analysis, we will show the distinctiveness of the tribal cultures and the fact that many women from the scheduled tribes face less discrimination than Hindu women and those from scheduled castes.     

Re-Defining the Who,When, and Where of Mentoring for Professional Statisticians

Organizations tailor their mentoring strategies to accommodate internal resources and preferences, producing different approaches in academic, government, and corporate environments. Across these settings, three common barriers impede effective mentoring of statisticians: overspecialization, time constraints, and geographic dispersion. The authors share mentoring strategies that have emerged at their organization, Mathematica Policy Research, to overcome these obstacles. Practices include creating a methodology working group to unite researchers with diverse backgrounds, integrating mentoring into existing workflows, and harnessing modern technological infrastructure to facilitate virtual mentoring. Although these strategies emerged within a specific professional context, they suggest opportunities for statisticians to expand the channels through which mentorship can occur.     

The Reception Given to Sadhu Sundar Singh,the Itinerant Indian Christian ‘Mystic’, in Interwar Britain

In 1920 and 1922, an Indian Christian called Sadhu Sundar Singh toured Britain. Widely renowned in the global Christian community in the interwar period, Singh was notorious for certain stories of miracles, for his appearance and for the ways in which he epitomised Eastern Christianity. Using Singh’s correspondence and a range of newspapers, this article argues that British audiences were attracted to Singh because of his appearance and ethnicity and because he conformed to stereotypes of essentialised Indian spirituality despite his Christian faith. It argues that the reception to Singh in Britain must be understood in relation to the perpetuation of Orientalist understandings of Indians and Indian religions in the interwar period.     

Bayesian prediction of waiting times in stochastic models

The authors show how saddlepoint techniques lead to highly accurate approximations for Bayesian predictive densities and cumulative distribution functions in stochastic model settings where the prior is tractable, but not necessarily the likelihood or the predictand distribution. They consider more specifically models involving predictions associated with waiting times for semi‐Markov processes whose distributions are indexed by an unknown parameter θ. Bayesian prediction for such processes when they are not stationary is also addressed and the inverse‐Gaussian based saddlepoint approximation of Wood, Booth & Butler (1993) is shown to accurately deal with the nonstationarity whereas the normal‐based Lugannani & Rice (1980) approximation cannot, Their methods are illustrated by predicting various waiting times associated with M/M/q and M/G/1 queues. They also discuss modifications to the matrix renewal theory needed for computing the moment generating functions that are used in the saddlepoint methods.     

Accelerated test system strength models based on Birnbaum–Saunders distribution: a complete Bayesian analysis and comparison

Several models for studies related to tensile strength of materials are proposed in the literature where the size or length component has been taken to be an important factor for studying the specimens’ failure behaviour. An important model, developed on the basis of cumulative damage approach, is the three-parameter extension of the Birnbaum–Saunders fatigue model that incorporates size of the specimen as an additional variable. This model is a strong competitor of the commonly used Weibull model and stands better than the traditional models, which do not incorporate the size effect. The paper considers two such cumulative damage models, checks their compatibility with a real dataset, compares them with some of the recent toolkits, and finally recommends a model, which appears an appropriate one. Throughout the study is Bayesian based on Markov chain Monte Carlo simulation.     

Ridge estimation of restricted parameters in production techniques

The problem of determining ridge estimates of the regression parameters in a two-input production function model,constrained to be non-negative,has been formulated as an exercise in quadratic programming. Relevant Kuhn-Tucker conditions have been derived and a small simulation studv has been carried out.     

An integrative framework for studying sustainable practices and its adoption in the AEC industry: A case study

The diversity of priorities and differing awareness of sustainable practices among stakeholders in the architecture, engineering and construction industry is critically shaping the adoption of green technology, and the rate at which the industry is shifting towards more sustainable practices. In this paper, we develop an integrated framework that allows reorganization and integration of existing sustainability research in the architecture, engineering, and construction (AEC) industry, emphasizing the perspective of decision-makers and stakeholders. Further, an agent-based model is introduced that allows study of the decision-maker with the decision context, thus making them an integral part of the decision-making process rather than independent of it. The coupled system is adaptive and dynamically organizes itself to reflect complex bottom-up interactions between individual stakeholders, their contexts and the constraints driving their decisions even as they implement or respond to top-down decisions pertaining to the adoption of sustainable practices. The contention of this research is that an integrative systems approach to top-down decision-making and an understanding of bottom-up influences in stakeholder decisions is critical to the understanding sustainable practices and decisions that lead to their adoption in the AEC industry.