Overcoming hopelessness and social isolation: the ENGAGE model for working with neglecting families toward permanence

The Adoption and Safe Families Act of 1997 (ASFA) mandates policies designed to increase the frequency and speed with which permanency is achieved for children in the child welfare system. ASFA's focus is on child safety, permanency, and well-being. The expectation that parents correct neglectful conditions within specified time frames places an increased ethical responsibility on child welfare staff. Carrying out this responsibility requires vigorous and innovative approaches to engaging and working with neglectful families. Drawing on a well-established conceptual framework for understanding the determinants of effective parenting, the authors derive the ENGAGE (Engagement, Needs assessment, Goal setting, Assessment of progress, Goal achievement, Ending work) model for achieving permanency within the policy structure. The model incorporates creative client engagement, assessment of family needs, mutual goal setting, the goal achievement process, termination, and aftercare.     

Participatory research: Three models and an analysis

This article examines three models of participatory research: what we call the parallel process model, the mutual engagement model, and the University of Central America (UCA) model. These models represent successively greater degrees of academic engagement with outside communities—from complementary, though not necessarily uncommitted, engagement by academic(s); to compromised full engagement between the academic(s) and the community; to institutional engagement between the entire university and the community. Our analysis outlines the tensions that may arise within participatory research between service and scholarship. We conclude that for participatory research to capture the attention and involvement of the broader discipline, it must provide a spectrum of theory, methods, and substance that sociologists find of importance independent of the participatory way in which such contributions are generated. This article is based on a paper presented at the 87th Annual Meeting of the American Sociological Association, D.L. Lawrence Convention Center, Pittsburgh, Pennsylvania, August 20–24, 1992.     

Max Weber Today: Notes on the Problem of Objectivity in the Social Sciences

Abstract

Weber demonstrated that the conception of objective scientific knowledge in any sense of any empirical subject matter, is indissoluably bound up with the reality both of the normative aspect of action and of obstacles to the realization of norms. Science itself cannot be methodologically grounded without reference to the value element in the relation of wertbeziehung (Parsons, 1949:683).     

The Social Dynamics of Brazil's Rural Landless Workers' Movement: Ten Hypotheses on Successful Leadership*

Cet article met l'accent sur le caractere social ainsi que sur la dynamique sociale de l'autorité politique dans ce qui est générale‐ment considéré comme les caractéristiques de classe ainsi que les caracteristiques sociales du leadership, à l'intérieur d'un mouvement que nous et d'autres auteurs considérons comme le mouvement social le plus dynamique de nos jours en Amérique latine, le Mouvement des Sans Terre (MST) au Brésil. Nous fonderons notre discussion de cette dynamique sociale sur dix hypothèses qui tracent, en effet, un portrait sociologique du leadership du mouvement. This paper focusses on the social character and dynamics of political leadership in what is widely regarded as the class and social character of the leadership of a movement that we and others regard as the most dynamic social movement in Latin America today—the Rural Landless Workers' Movement (MST) in Brazil. Discussion of these social dynamics is made with reference to ten hypotheses that provide, in effect, a sociological portrait of this movement's leadership.     

A note on model selection using information criteria for general linear models estimated using REML

It is common practice to compare the fit of non‐nested models using the Akaike (AIC) or Bayesian (BIC) information criteria. The basis of these criteria is the log‐likelihood evaluated at the maximum likelihood estimates of the unknown parameters. For the general linear model (and the linear mixed model, which is a special case), estimation is usually carried out using residual or restricted maximum likelihood (REML). However, for models with different fixed effects, the residual likelihoods are not comparable and hence information criteria based on the residual likelihood cannot be used. For model selection, it is often suggested that the models are refitted using maximum likelihood to enable the criteria to be used. The first aim of this paper is to highlight that both the AIC and BIC can be used for the general linear model by using the full log‐likelihood evaluated at the REML estimates. The second aim is to provide a derivation of the criteria under REML estimation. This aim is achieved by noting that the full likelihood can be decomposed into a marginal (residual) and conditional likelihood and this decomposition then incorporates aspects of both the fixed effects and variance parameters. Using this decomposition, the appropriate information criteria for model selection of models which differ in their fixed effects specification can be derived. An example is presented to illustrate the results and code is available for analyses using the ASReml‐R package.     

Returning migrant characteristics and labor market demand in Greece

Immigrants who repatriate bring with them modern work skills which many observers in labor exporting regions describe as a great contribution to the mother country. Using data from 2 samples of Greek repatriates as well as projections of industrial labor force demands in Greece for the 1980s, this article challenges this concept. The authors find that the uneven regional development and stunted industrial growth which pushed these workers abroad are also responsible for the narrowly limited employment options which they face once they repatriate. For the urban repatriate, the market is limited to unemployment, the urban informal sector and scattered jobs, while for the rural repatriate, small-scale agriculture, multiple job holdings and unemployment are the only viable options.     

Contaminated consignment simulation to support risk-based inspection design

Invasive nonnative plant pests can cause extensive environmental and economic damage and are very difficult to eradicate once established. Phytosanitary inspections that aim to prevent biological invasions by limiting movement of nonnative plant pests across borders are a critical component of the biosecurity continuum. Inspections can also provide valuable information about when and where plant pests are crossing national boundaries. However, only a limited portion of the massive volume of goods imported daily can be inspected, necessitating a highly targeted, risk-based strategy. Furthermore, since inspections must prioritize detection and efficiency, their outcomes generally cannot be used to make inferences about risk for cargo pathways as a whole. Phytosanitary agencies need better tools for quantifying pests going undetected and designing risk-based inspection strategies appropriate for changing operational conditions. In this research, we present PoPS (Pest or Pathogen Spread) Border, an open-source consignment inspection simulator for measuring inspection outcomes under various cargo contamination scenarios to support recommendations for inspection protocols and estimate pest slippage rates. We used the tool to estimate contamination rates of historical interception data, quantify tradeoffs in effectiveness and workload for inspection strategies, and identify vulnerabilities in sampling protocols as changes in cargo configurations and contamination occur. These use cases demonstrate how this simulation approach permits testing inspection strategies and measuring quantities that would otherwise be impossible in a field-based setting. This work represents the first steps toward a decision support tool for creating dynamic inspection protocols that respond to changes in available resources, workload, and commerce trends.