Cameras and community health

Photography projects are an alternative teaching method that can be easily integrated into community programs with adolescents and children. This article provides a brief review of the use of photography in documenting social and health issues. Two examples of community photography projects with easily ignored populations are described. These projects gave a voice to participants and allowed them to demonstrate their creativity with cameras. An implementation guide is presented to provide concrete suggestions for implementing community photography projects.     

Social Problems Awareness Manifested Through Sociological Research,Newspapers, and Creative Literature*

Content analysis of newspaper items, sociological research and sociology course titles, and reviews of novels associated with Chicago, 1910–1930, was used to test several propositions concerning changes in the structural loci, heterogeneity, and amount of social problems awareness in modern society. Although considerable social problems awareness was found to be manifested by newspapers, sociological research, and creative literature, little similarity was found in the types of social problems focused upon. There was no evidence found concerning a shift in such activity from newspapers and creative literature to sociological research, nor was evidence found that would support the proposition that social problems awareness tends to increase significantly in modern society.     

Elite Revisionists and Popular Beliefs: Christopher Columbus, Hero or Villain?

According to revisionist historians and American Indian activists,Christopher Columbus deserves condemnation for having broughtslavery, disease, and death to America’s indigenous peoples.We ask whether the general public’s beliefs about Columbusshow signs of reflecting these critical accounts, which increasedmarkedly as the 1992 Quincentenary approached. Our nationalsurveys, using several different question wordings, indicatethat most Americans continue to admire Columbus because, astradition puts it, "he discovered America," though only a smallnumber of mainly older respondents speak of him in the heroicterms common in earlier years. At the same time, the percentageof Americans who reject traditional beliefs about Columbus isalso small and is divided between those who simply acknowledgethe priority of Indians as the "First Americans" and those whogo further to view Columbus as a villain. The latter group ofrespondents, we find, show a critical stance toward modal Americanbeliefs much more broadly. We also analyze American history school textbooks for evidenceof influence from revisionist writings, and we consider representationsof Columbus in the mass media as well. Revisionist history canbe seen as one consequence of the "minority rights revolution"that began after World War II and has achieved considerablesuccess, but the endurance of Columbus’s reputation—toa considerable extent even among the minorities who have theleast reason to respect him—raises important questionsabout the inertia of tradition, the politics of collective memory,and the difference between elite and popular beliefs.     

PARENTAL REVERSALS: A FRAMEWORK FOR CONCEPTUALIZING AND IMPLEMENTING A CLASS OF PARADOXICAL INTERVENTIONS*

This paper describes a class of paradoxical interventions the author calls parental reversals which involve inducing parents to reverse either their injunctions or their position regarding a problem with a child. A taxonomy, as well as guidelines for the selection and implementation of these paradoxical interventions, is presented.     

Longitudinal network models and permutation-uniform Markov chains

Consider longitudinal networks whose edges turn on and off according to a discrete-time Markov chain with exponential-family transition probabilities. We characterize when their joint distributions are also exponential families with the same parameter, improving data reduction. Further we show that the permutation-uniform subclass of these chains permit interpretation as an independent, identically distributed sequence on the same state space. We then apply these ideas to temporal exponential random graph models, for which permutation uniformity is well suited, and discuss mean-parameter convergence, dyadic independence, and exchangeability. Our framework facilitates our introducing a new network model; simplifies analysis of some network and autoregressive models from the literature, including by permitting closed-form expressions for maximum likelihood estimates for some models; and facilitates applying standard tools to longitudinal-network Markov chains from either asymptotics or single-observation exponential random graph models.