Sociology and the environment: An analysis of journal coverage

Many sociologists have suggested that the dominant paradigm in sociology ignores the environment, which accounts for the fact that environmental sociology is poorly represented in sociology’s mainstream journals. The purpose of this article is to test this assumption empirically by examining the coverage of environmental sociology in nine mainstream sociology journals from 1969 through 1994. The nine journals are separated into two tiers, representing higher and lower prestige journals. Each environmental article is categorized by its area (attitudes and behaviors, environmental movement, political economy, risk, and “new human ecology”) and whether it involves “sociology of the environmental issues” (the application of standard sociological perspectives to environmental issues) or “core environmental sociology” (the examination of societal-environmental relationships). We find that less than two percent of all articles published in the sampled journals in the twenty-five-year period of study were environmental, and that the higher tier journals were less likely to publish environmental articles than were the lower tier journals. Environmental articles were more likely to be part of “core environmental sociology” after 1981 than they were “sociology of the environmental issues,” which suggests a greater recognition among both environmental sociologists and journal reviewers that human societies are ecosystem-dependent. The number of environmental articles increased in the 1990s, portending a fruitful period for sociologists specializing on the environment. We argue that the broader field of sociology can benefit by recognizing the linkages environmental sociology has to other sociological specializations and that, ultimately, sociology needs to be able to address environmental variables in order to understand society. Naomi T. Krogman’s primary interest is in stakeholder framing of environmental disputes and natural resource policy change. She is currently a research sociologist at the Center for Socioeconomic Research at the University of Southwestern Louisiana and adjunct faculty in the Department of Sociology, University of Southwestern Louisiana, Lafayette, LA 70504-0198. JoAnne DeRouen Darlington is a research sociologist focusing on social change and community sustainability emerging from the disastrous interactions between society and the environment. She is currently employed with the Natural Hazards Research Center, Campus Box 482, Boulder, CO 80309.     

Reasons for substance use continuation and discontinuation during pregnancy: A qualitative study

Background

Substance use during pregnancy is a major public health concern, stemming from potential physical and psychosocial harms to both the mother and child.

Incremental optimization of independent sets under the reconfiguration framework

Journal of Combinatorial Optimization - Suppose that we are given an independent set $$I_0$$ of a graph G, and an integer $$l\ge 0$$ . Then, we are asked to find an independent set of G having the...     

On the Optimality of Prediction-based Selection Criteria and the Convergence Rates of Estimators

Several estimators of squared prediction error have been suggested for use in model and bandwidth selection problems. Among these are cross-validation, generalized cross-validation and a number of related techniques based on the residual sum of squares. For many situations with squared error loss, e.g. nonparametric smoothing, these estimators have been shown to be asymptotically optimal in the sense that in large samples the estimator minimizing the selection criterion also minimizes squared error loss. However, cross-validation is known not to be asymptotically optimal for some `easy' location problems. We consider selection criteria based on estimators of squared prediction risk for choosing between location estimators. We show that criteria based on adjusted residual sum of squares are not asymptotically optimal for choosing between asymptotically normal location estimators that converge at rate n ^1/2but are when the rate of convergence is slower. We also show that leave-one-out cross-validation is not asymptotically optimal for choosing between √ n -differentiable statistics but leave- d -out cross-validation is optimal when d ∞ at the appropriate rate.     

Understanding Patterns of Publishing Activity in Academic Research Occupations*

While it is widely understood that faculty in various disciplines tend to publish at different rates and in different forms, knowledge of these differences is too limited to facilitate systematically differentiated performance appraisal and reward systems. In this study, theory concerning knowledge production system characteristics as influences on individual performance is applied to academic research occupations using a classification scheme developed by Biglan [4]. Regression analysis is applied to a general (industry-wide) sample of United States faculty, with publishing patterns as performance measures. Each dimension of the classification scheme is found to have predictive validity. Output patterns are consistent with a conceptualization of research occupations in terms of (1) transformational/technological processes, (2) research mission, and (3) input/subject matter characteristics. The results offer a basis for generating disciplinary publishing norms and differentiated reward systems.