‘Heteroglossic’ Discourses on Globalization: A View from the ‘East’

Abstract

In view of the broad scope of literature on globalization, this paper provides a synoptic reading of some of the globalization literatures, organized as ‘discourses’. The analysis of the discourses on globalization is confined to three overlapping discourses, namely, regional, ideological and economic discourses. Specific references and examples of local uptake of globalization will be drawn from Singapore and the wider Asia pacific region, as Beck (2002) has reminded us that we cannot even think about globalization or discuss it effectively without the reference to specific locations and places. Hence the subtitle of this paper, ‘A View from the East’, is deliberate to signal the often forgotten fact that Singapore, as well as the wider Asia Pacific region, is ‘part of the “global” sphere that the West has dispersed itself into’.     

All the way from … authenticity and distance in world music production

World music and the narratives it produces are at the very centre of a formerly transnational production and consumption process. However, the shortened distance between the sites of production and consumption of this good, brought on by migration and greater participation, has created a dilemma for the UK-based artists who perform it: how to maintain authenticity without the added value of ‘distance’. Therefore, the aim of this article is to examine the ways in which musicians and other participants attempt to overcome this problem and in doing so (re)-construct particular aspects of their identity. Rather than being just another critique on authenticity, this article uses distance as an organizing concept in understanding the challenges facing world music production in the UK.     

Semi-automated simultaneous predictor selection for regression-SARIMA models

Statistics and Computing - Deciding which predictors to use plays an integral role in deriving statistical models in a wide range of applications. Motivated by the challenges of predicting events...     

Patterns of Reactive and Proactive Aggression in Young Adolescents in Singapore

The authors investigated the patterns of reactive and proactive aggression exhibited by young male (N = 604) and female (N = 544) adolescents in Singapore. Self‐report measures of reactive and proactive aggression, behavioral and emotional adjustment, parenting styles, and delinquency were administered to students aged 13–14. Using cluster analysis, three distinct patterns of aggression emerged: a low aggressive group, a combined aggressive group with high reactive and proactive aggression, and a reactively aggressive group with low proactive and high reactive aggression. The two aggressive groups showed similar disturbances in adjustment and delinquency, but the combined group showed the greatest disruptions. Findings indicate cross‐cultural stability of patterns of aggression as well as the usefulness of the reactive/proactive distinction in early identification of individuals with adjustment problems.     

How project strategy is used in project management: Cases of new product development and software development projects

Project strategy is an emerging concept in the research literature on project management. Many authors suggest that such a strategy should be used by a project team as a guideline for effectively performing project activities. In this study, we explore how project strategy is used. We found that the project teams applied various forms of project strategy, namely, Product Superiority, Customer Intimacy, and Time-to-Market strategies. A combination of these strategies was also used. This study contributes to the literature in the area of strategic alignment and strategy implementation. It also helps practitioners better understand how to implement project strategy.     

Using housing growth to estimate habitat change: detecting Ovenbird response in a rapidly growing New England State

Numerous measures of human influence on the environment exist, but one that is of particular importance is houses as they can impact the environment from species through the landscape level. Furthermore, because the addition of houses represents an important component of landscape change, housing information could be used to assess ecological responses (e.g., decline in wildlife habitat) to that change. Recently developed housing density data represents a potential source of information to assess landscape and habitat change over long periods of time and at broad spatial extents, which is critically needed for conservation and management. Considering the potential value of housing data, our goal was to demonstrate how changes in the number of houses leads to changes in the amount of habitat across the landscape, and in-turn, how these habitat changes are likely to influence the distribution and abundance for a species of conservation concern, the Ovenbird (Seiurus aurocapillus). Using a relationship between Ovenbird abundance and housing density, we predict suitable habitat in the forests of Massachusetts (USA) from 1970 to 2030. Over this 60-year period, the number of houses was projected to increase from 1.84 to 3.32 million. This magnitude of housing growth translates into a 57 % decline in Ovenbird habitat (6,002 km² to 2,616 km²), a minimum decline of ~850,000 (48 %) Ovenbirds, and an increase in the number of subpopulations across the landscape. Overall, housing data provide important information to robustly measure landscape and habitat change, and hence predict population change of a species. We suggest that time series of housing data linked to ecological responses (e.g., Ovenbird abundance) offers a novel and underutilized approach to estimating long-term and spatially broad predictions of ecosystem response to landscape change, which in turn can inform conservation and management.     

On triple sampling scremes for estimating from binomial data with misclassification errors ∗

Previous work has been carried out on the use of double sampling schemes for inference from binomial data which are subject to misclassification. The double sampling scheme utilizes a sample of n units which are classified by both a fallible and a true device and another sample of n₂ units which are classified only by a fallible device. A triple sampljng scheme incorporates an additional sample of n_l units which are classified only by the true device. In this paper we apply this triple sampling to estimation from binomialdata. First estimation of a binomial proportion is discussed under different misclassification structures. Then, the problem of optimal allocation of sample sizes is discussed.     

The Racing Car Problem

An approach to teaching linear regression with unbalanced data is outlined that emphasizes its role as a method of adjustment for associated regressors. The method is introduced via direct standardization, a simple form of regression for categorical regressors. Properties of regression in the presence of association and interaction are emphasized. Least squares is introduced as a more efficient way of calculating adjusted effects for which exact decompositions of the variance are possible. Interval-scaled regressors are initially grouped and treated as categorical; polynomial regression and analysis of covariance can be introduced later as alternative methods.     

Maternal Sensitivity and the Learning‐Promoting Effects of Depressed and Nondepressed Mothers' Infant‐Directed Speech

The hypothesis that aspects of current mother‐infant interactions predict an infant's response to maternal infant‐directed speech (IDS) was tested. Relative to infants of nondepressed mothers, those of depressed mothers acquired weaker voice‐face associations in response to their own mothers' IDS in a conditioned‐attention paradigm, although this was partially attributable to demographic differences between the 2 groups. The extent of fundamental frequency modulation (ΔF₀) in maternal IDS was smaller for infants of depressed than nondepressed mothers, but did not predict infant learning. However, Emotional Availability Scale ratings of maternal sensitivity, coded from videotapes of mothers and infants engaged in a brief play interaction, were significant predictors of infant learning, even after maternal depression, its demographic correlates, and antidepressant medication use had been taken into account. These findings are consistent with a role for experience‐dependent processes in determining the effects of IDS on infant learning.