On removing Condorcet effects from pairwise election tallies

Condorcet profiles are responsible for a number of well known preference aggregation paradoxes. It is reasonable to claim that these profiles represent complete ties between the candidates and should therefore be excluded to determine election outcomes. Established profile decomposition techniques are of limited usefulness in extracting and removing Condorcet effects, because of the computational complexity involved, even if complete knowledge of voters’ rankings of all candidates are available. The paper discusses an easily implementable method of removing or reducing Condorcet effects from pairwise scores. Pairwise scores (and not complete knowledge of voters’ rankings) are often the only available data based on which an election winner has to be determined.     

School Context and the Effect of ESL Placement on Mexican‐Origin Adolescents' Achievement*

Objectives. Immigrant adolescents' academic achievement is crucial to our future economic stability, and Mexican‐origin linguistic minority youth in U.S. schools generally demonstrate lower levels of achievement. English as a Second Language (ESL) programs provide an institutional response to these students' needs, the effect of which may vary by the proportion of immigrant students in the school. Measures. Using propensity score matching and data from the Adolescent Health and Academic Achievement Study (AHAA) and the National Longitudinal Study of Adolescent Health (Add Health), we estimate the effect of ESL placement on Mexican‐origin achievement for first‐, second‐, and third‐generation adolescents separately in schools with many and few immigrant students. Results. The estimated effect of ESL placement varies by both immigrant concentration in the school and by students' generational status. Conclusions. We find that ESL enrollment may be protective for second‐generation Mexican‐origin adolescents in high immigrant concentration schools, and may prove detrimental for first‐generation adolescents in contexts with few other immigrant students.     

Contents Volume 31 2002

Theory and Society -     

Statistical Control for Road Pavements

Roads are assets vital to the economies of nations, particularly those with such low population density as Australia and New Zealand. The quality of road construction is of great importance. The application of statistical techniques to determining whether the construction of road pavement is being carried out to the design specification can be of great benefit to administrators and contractors. In this paper, a method is presented for obtaining control limits for a means chart when correlated observations are taken over a grid on a two‐dimensional surface. Data from a closely monitored road construction project are used to determine if the construction process can be considered ‘in control’. The nature of the correlation structure is determined using ARIMA models. The ultimate aim of the control charts and specifications is to control base course thickness. Controlling the pavement surfaces is a means to this end.     

Body mass index, academic achievement, and school context: examining the educational experiences of adolescents at risk of obesity

Reflected self-appraisal suggests that individual functioning is related to the fit between individual characteristics and the norms of their primary contexts. To apply this social psychological concept to the study of obesity, we hypothesized that adolescents at risk of obesity would have lower academic achievement overall than other students, especially in schools in which their weight status was most likely to elicit negative evaluations. Multi-level modeling of nationally representative data revealed that the negative longitudinal association between risk of obesity and achievement was stronger in schools with higher rates of romantic activity and lower average body size among students, two school contexts in which obesity was likely to be stigmatized, but weaker in schools with higher rates of athletic participation, a school context in which such stigmatization was also likely. Additional analyses suggested that this last, unexpected finding reflected a process of niche-picking.     

On the estimation of coefficients of a simultaneous linear explosive model of higher orders with moving average errors generating a pair of time series

In this paper, estimation of coefficients of simultaneous linear partially explosive model of higher orders with moving average errors is considered. It has been shown that the above model can be decomposed into a purely explosive model and an autoregressive model. A two stage estimation, procedure is carried out towards proposing estimators for the partially explosive model. The asymptotic properties of these estimators are also studied.     

Least squares estimation of the coefficients of a partially explosive model,with polynomial regressions of same degree,generating a pair of related time series

This paper is concerned with a partially explosive linear model with polynomial regression components generating a pair of related time series. The least squares estimates of the coefficients are shown to be √N-consistent and asymptotically singular normal, when the degrees of polynomial regression components are same, thus generalising a result due to Venkataraman (1974).     

Modelling critical success factors for sustainability initiatives in supply chains in Indian context using Grey-DEMATEL

Sustainability assists organisations to enhance ecological, financial and societal performances of their entire supply chains. The present paper uncovers the Critical Success Factors (CSFs) for effective adoption of sustainability initiatives in the supply chain in Indian context. Fifteen CSFs for the successful adoption of sustainability initiatives were identified and finalised firstly from the literature and followed by expert inputs. A methodology based on Grey-Decision Making Trial and Evaluation Laboratory (DEMATEL) was used to envisage the organisation of complex causal relationships between the recognised CSFs. ‘Government Legalisation’ has been found to be the most influential factor and ‘Community Welfare and Development’ is most easily influenced factor. A multiple case example of three automotive companies operating in India is conducted. To the end, some important policy measures and recommendations are proposed to help practicing managers and government bodies to adopt and effectively manage the concepts of sustainability oriented supply chains in India.     

Study on lumbar kinematics and the risk of low back disorder in female university students by using shoes of different heel heights

The study was taken up to investigate the effects of heel heights on lumbar kinematics and the risk of Low Back Disorder (LBD) in females. Nineteen female university students (24.5 ± 3.36 yrs) volunteered in the study. Lumbar kinematics was measured by using Industrial Lumbar Motion Monitor (iLMM). The volunteers were asked to walk for a distance of 50 meters in 3 different given conditions i.e bare foot (Heel 0), with flat heels (Heel 1) and with high heels (Heel 2). Heights of Heel 1 and Heel 2 were 1.5 ± 0.84 cm and 5.5 ± 1.70 cm respectively. The Lumbar kinematic parameters studied were- Average Twisting Velocity (ATV), Maximum Sagital Flexion (MSF) and Maximum Lateral Velocity (MLV). It was observed that all the above mentioned Lumbar kinematics - ATV, MSF and MLV increases with increase of heel heights, which in turn increases the risk of LBD. As a result of increase in Lumbar kinematic values with increase in heel heights, LBD risk has also increased. Mean and SD of the LBD risk with Heel 0, Heel 1 and Heel 2 were 16.79 ± 6.04%, 19.00 ± 7.38% and 22.11 ± 6.98% respectively. Lower stature with high heels showed higher risk of LBD than the higher stature with high heels.     

Unpacking the Biographical Antecedents of the Emergence of Social Enterprises: A Narrative Perspective

Despite the burgeoning research on social enterprise (SE), there is a dearth of research that investigates the biographical factors that influence the emergence of SEs in the form of hybrid organizations on a large scale. Drawing on the emerging narrative perspective of SE, we examine the biographical narratives of 317 self-identified social entrepreneurs who were selected as fellows by two of the world’s largest SE support organizations: Ashoka and the Schwab Foundation. We employ Gioia’s methodology and principal component analysis to derive and subsequently classify the biographical antecedents of SE emergence. This study makes a novel contribution to the SE-as-hybrid-organization literature by revealing eight biographical antecedents of SE emergence, four of which can be categorized into social skills, and four others can be categorized into economic skills, which constitute SE’s social position. We also develop a typology of SE based on different combinations of individuals’ social skills and social position. Finally, we discuss the implications of this study for the SE-as-hybrid-organization literature, highlight its limitations, and present possible avenues for future research.