The Sociology of Death

The understanding of death, dying and bereavement in relation to society is indebted to a number of disciplines – anthropology, history, psychology and sociology are surveyed. Theories and methods used by sociologists of death, dying and bereavement are briefly outlined, followed by a number of key debates and challenges: denial, taboo and sequestration; death and the media; how to integrate scholarship in collective memory and Holocaust studies; theorising contemporary rites of passage; the lack of comparative research; and the need to focus on the meaning and organisation of death for those who encounter it most directly; namely, the poor, displaced and elderly. A brief discussion of undergraduate and postgraduate teaching is followed by the conclusion that any promise of a general sociology conducted in the light of mortality has been eclipsed by yet another specialism, the sociology of death.     

Toward a capabilities perspective of the small firm

This paper attempts to explain the competitive advantages of the small firm in the capabilities perspective. It begins by identifying the kinds of strategic assets possessed by small firms. It argues that entrepreneurship and a simple capital structure are the sources of dynamism for small firms. The relationship between the small firm's resources and its capabilities are then critically examined. In particular, the analysis focuses on the influences of strategic assets on the organizational flexibility – a significant source of competitive advantage enjoyed by small firms. The competitive attributes of small firms are further discussed in terms of firm's internal and external capabilities. Finally, the relationship between the small firm's capabilities and the choice of technology strategies is examined.     

Canadian Biotechnology Start-Ups, 1991–1997: The Role of Incumbents'' Patents and Strategic Alliances in Controlling Competition

Fligstein (1996) contends that organizations act to exploit the institutional context in which they are embedded so as to stabilize the competition they face. Drawing on Fligstein's theoretical analysis, we conceptualize incumbent biotechnology firms' patenting and alliance-building activities as attempts to stabilize and control potential competition and analyze how these activities shape rates of founding in the Canadian biotechnology industry. We find that increases in the level and concentration of incumbents' patenting discourage founding, particularly in human application sectors of the industry where development and approval processes are more costly and time consuming. Incumbents' horizontal alliances depress start-ups; vertical alliances stimulate start-ups. Our findings highlight how technology appropriation and strategic alliances structure the competitive dynamics and evolution of high-technology, knowledge-intensive industries.     

AUSTRALIAN ATTITUDES TO UNEMPLOYMENT AND UNEMPLOYED PEOPLE

Social security policy towards unemployed people in Australia has become increasingly conditional on their demonstrating ever greater job search effort. The evidence from attitudinal survey data on whether this policy shift accords with public opinion is ambiguous. Although, by international standards, Australians take a relatively hard line on the responsibilities of unemployed people lo actively seek work, there is little information about views on the detail of activity testing. While a majority oppose greater public expenditure on unemployment, they still see an important role, for government in addressing unemployment and supporting unemployed people.     

Principal component analysis of interrelations in stored-wheat ecosystems infested with multiple species of insects

Summary Principal component analysis (PCA) was used to determine the effects of infestation of bulk stored wheat by multiple species of insects at 30±2°C for 60 wk. Eight 204-liter drums containing wheat at 15.5% moisture content were used as three distinct man-made ecosystems: (a) Control system (2 drums), insect-free; (b) RST system (3 drums), artificially infested withRhyzopertha dominica (F.),Sitophilus oryzae (L.), andTribolium castaneum (Herbst); and (c) COT system (3 drums), infested withCryptolestes ferrugineus (Stephens),Oryzaephilus surinamensis (L.), andTribolium castaneum. The variables measured tri-weekly within each system included carbon dioxide, oxygen, temperature, grain moisture, seed damage, grain weight and volume, dust weight and volume, fat acidity values (FAV) of the wheat, seed germination, microflora includingAlternaria alternata (Fr.) Keissler,Aspergillus glaucus group,Aspergillus candidus Link, and bacteria, insects and the miteTarsonemus granarius Lindquist. PCA provided multivariate synopsis of the data quantifying several important relationships among the variables monitored. Tri-weekly and cumulative 60-wk analyses of each system showed that high bacterial counts were associated with high FAV levels;Tarsonemus numbers were positively related toAspergillus; Alternaria and seed germination were negatively related to FAV, bacteria and grain damage; and that the number of insects was related to the presence ofAspergillus and negatively related to the presence of bacteria. Seed germination andAlternaria infection often decrease rapidly presumably because of infection by fungi of theAspergillus glaucus group. The combined action ofR. dominica andAspergillus spp. enhanced seed damage and increased grain moisture content thus promoting bacterial growth which in turn inhibited insect and mold growth. Fat acidity values increased with time unless seed damage and bacterial infection were extensive as in the RST system. Contribution No. 903, Agriculture Canada, Research Station, 195 Dafoe Road, Winnipeg, Manitoba, R3T 2M9.     

Dirichlet process mixture models for unsupervised clustering of symptoms in Parkinson's disease

In this paper, the goal of identifying disease subgroups based on differences in observed symptom profile is considered. Commonly referred to as phenotype identification, solutions to this task often involve the application of unsupervised clustering techniques. In this paper, we investigate the application of a Dirichlet process mixture model for this task. This model is defined by the placement of the Dirichlet process on the unknown components of a mixture model, allowing for the expression of uncertainty about the partitioning of observed data into homogeneous subgroups. To exemplify this approach, an application to phenotype identification in Parkinson's disease is considered, with symptom profiles collected using the Unified Parkinson's Disease Rating Scale.     

Testing for Regime Switching

We analyze use of a quasi‐likelihood ratio statistic for a mixture model to test the null hypothesis of one regime versus the alternative of two regimes in a Markov regime‐switching context. This test exploits mixture properties implied by the regime‐switching process, but ignores certain implied serial correlation properties. When formulated in the natural way, the setting is nonstandard, involving nuisance parameters on the boundary of the parameter space, nuisance parameters identified only under the alternative, or approximations using derivatives higher than second order. We exploit recent advances by Andrews (2001) and contribute to the literature by extending the scope of mixture models, obtaining asymptotic null distributions different from those in the literature. We further provide critical values for popular models or bounds for tail probabilities that are useful in constructing conservative critical values for regime‐switching tests. We compare the size and power of our statistics to other useful tests for regime switching via Monte Carlo methods and find relatively good performance. We apply our methods to reexamine the classic cartel study of Porter (1983) and reaffirm Porter's findings.