Structural constraints and the publications dilemma: A review and some proposals

There is a critical shortage of publication space available to sociologists, compared to scholars in other fields. This results in invidious publication comparisons to other professionals and damage to the careers of younger sociologists. Further, it results in a loss to the field itself in terms of a lesser likelihood of publication of replications, challenges, and controversial or unorthodox works. Several proposals are made for increasing the publication potential of sociologists. His teaching and research interests have been in social psychology (especially alienation), the family, and the sociology of religion.     

Who Lives Near Coke Plants and Oil Refineries? An Exploration of the Environmental Inequity Hypothesis

Facility-specific information on pollution was obtained for 36 coke plants and 46 oil refineries in the United States and matched with information on populations surrounding these 82 facilities. These data were analyzed to determine whether environmental inequities were present, whether they were more economic or racial in nature, and whether the racial composition of nearby communities has changed significantly since plants began operations.The Census tracts near coke plants have a disproportionate share of poor and nonwhite residents. Multivariate analyses suggest that existing inequities are primarily economic in nature. The findings for oil refineries are not strongly supportive of the environmental inequity hypothesis. Rank ordering of facilities by race, poverty, and pollution produces limited (although not consistent) evidence that the more risky facilities tend to be operating in communities with above-median proportions of nonwhite residents (near coke plants) and Hispanic residents (near oil refineries). Over time, the racial makeup of many communities near facilities has changed significantly, particularly in the case of coke plants sited in the early 1900s. Further risk-oriented studies of multiple manufacturing facilities in various industrial sectors of the economy are recommended.The authors are all affiliated with the Harvard Center for Risk Analysis     

“What problems do you confront?” an approach to doing qualitative research

Social life is filled with problems — situations that are perceived and defined as problems by individuals as they interact with each other. As such, these problems are often of more concern to those individuals than are other matters. The sociologist can gain insight into the structure of social relations by focusing the investigation on those problems rather than directly on the underlying structure. That is, the discussion of the problems that those being studied see in their situation or setting is revealing of the structured relations in those settings. This approach to doing social research is illustrated by two of the author's studies — one a study of an emergency department, and the second a study of how commercial art galleries affect the production and consumption of art.     

MAXIMUM LIKELIHOOD ESTIMATION FOR A POISSON RATE PARAMETER WITH MISCLASSIFIED COUNTS

This paper proposes a Poisson‐based model that uses both error‐free data and error‐prone data subject to misclassification in the form of false‐negative and false‐positive counts. It derives maximum likelihood estimators (MLEs) for the Poisson rate parameter and the two misclassification parameters — the false‐negative parameter and the false‐positive parameter. It also derives expressions for the information matrix and the asymptotic variances of the MLE for the rate parameter, the MLE for the false‐positive parameter, and the MLE for the false‐negative parameter. Using these expressions the paper analyses the value of the fallible data. It studies characteristics of the new double‐sampling rate estimator via a simulation experiment and applies the new MLE estimators and confidence intervals to a real dataset.     

Bayesian sample-size determination for one and two Poisson rate parameters with applications to quality control

We formulate Bayesian approaches to the problems of determining the required sample size for Bayesian interval estimators of a predetermined length for a single Poisson rate, for the difference between two Poisson rates, and for the ratio of two Poisson rates. We demonstrate the efficacy of our Bayesian-based sample-size determination method with two real-data quality-control examples and compare the results to frequentist sample-size determination methods.     

Using unlabelled data to update classification rules with applications in food authenticity studies

Summary.  An authentic food is one that is what it purports to be. Food processors and consumers need to be assured that, when they pay for a specific product or ingredient, they are receiving exactly what they pay for. Classification methods are an important tool in food authenticity studies where they are used to assign food samples of unknown type to known types. A classification method is developed where the classification rule is estimated by using both the labelled and the unlabelled data, in contrast with many classical methods which use only the labelled data for estimation. This methodology models the data as arising from a Gaussian mixture model with parsimonious covariance structure, as is done in model-based clustering. A missing data formulation of the mixture model is used and the models are fitted by using the EM and classification EM algorithms. The methods are applied to the analysis of spectra of food-stuffs recorded over the visible and near infra-red wavelength range in food authenticity studies. A comparison of the performance of model-based discriminant analysis and the method of classification proposed is given. The classification method proposed is shown to yield very good misclassification rates. The correct classification rate was observed to be as much as 15% higher than the correct classification rate for model-based discriminant analysis.     

Durkheim and The Structure of Social Action*

The analysis of Durkheim in The Structure of Social Action is integral to Parsons's discussion of the utilitarian-positivist tradition and the emergence of a voluntaristic theory of action from it. The four “stages” of theoretical argument in Durkheim can be related directly to the four defining elements of the “utilitarian dilemma,” namely empiricism, rationality, atomism, and the randomness of ends. The most questionable aspect of Parsons's argument is the alleged stubbornness of Durkheim's empiricism. On the other hand, much of the criticism of Parsons's argument, by Pope in particular, although also by Scott and Warner, Is either misdirected or itself questionable. The development and conclusions of Durkheim's moral sociology are as Parsons claims, and form a viable basis for a non-positivist theory of action.     

Predicting the quality of life in the United States

A principal components analysis performed by David M. Smith on 47 U.S. state level indicators of social well-being yielded several components. The first two of these are socio-economic well-being and social pathology. Structural hypotheses are offered to explain state differences in these components. The structural variables condensed by a principal components analysis of state political, economic and social structure measures are differentiation, flexibility-rigidity, and progressive industrialization. These, along with several population measures, determine a substantial part of the variance in the two measures of social well-being.