Career Concerns,Values, and Role Salience in Employed Men

This study tested Super's model of career adaptability by examining the relationships between career development concerns, values, and role salience among 881 men employed full-time in a cement factory. They responded to the Adult Career Concerns Inventory, the Values Inventory, and the Salience Inventory. The inter-correlations of the resulting scores were appropriately small and coincided with theoretical predictions. A principal components analysis clarified the latent structure of the relations between and among the scales. The results supported both Super's model of career adaptation and his model for Career Development Assessment and Counseling.     

Cross‐Cultural Perspectives on Career Assessment

The authors present an overview of the discussion and presentations that took place concerning techniques and assessment in educational and vocational guidance at the recent symposium International Perspectives on Career Development. Two topics were examined. The 1st focused on the theoretical foundations of and psychometric issues in career assessment. The 2nd focused on the practice of career assessment and the use of career measures, particularly in cultural contexts for which the measures were not originally developed.     

Triangular empathy: “The other” in psychotherapy with individuals

This paper seeks to explore triangular dimensions in individual psychotherapy. In addition to serving as the dyadic object of transference projection and/or as selfobject for a person in psychotherapy, the therapist may be called upon to help the patient work on relationships with certain early, important people or their representations and on the interplay between such relationships and the therapeutic one, that is, in a triangular configuration. Because patients' attempts to introduce others into individual psychotherapy are sometimes experienced by therapists as resistant rather than as integral to the therapeutic process, I propose an empathic reconsideration of such patient efforts to get us to help with the complicated dimensions of human relatedness.     

Distribution of exotic monk parakeets across an urban landscape

Monk parakeets (Myiopsitta monachus) are the most abundant and widely distributed of the naturalized parrots in the United States. Their presence is simultaneously encouraged by some humans (through use of bird feeders) and discouraged by others (through removal of their nests) and, as a result, they show an interesting spatial distribution across urban areas. We used an online public survey and field surveys to examine the influence of human activities and land use on the distribution of this exotic species around Chicago, IL (USA). These efforts resulted in detection of 249 nesting structures and approximately 778 birds across the region. A CART analysis successfully separated nesting sites from random sites and correctly classified 90?% of the nesting sites. The most important factor in the model was land use, with nests typically found in areas with less than 84?% residential zoning. We found nests on a wide variety of substrates including trees, cell phone towers, and stadium lights. Spatial point pattern analysis indicated that nests in trees and nests in built substrates were significantly dissociated with each other at all scales. Nests on built substrates were closer to railroads and highways or in areas with lower human population density, suggesting either a difference in substrate availability or human tolerance between these settings. While humans may have a positive effect on distribution of monk parakeets at large spatial scales, at the scale of this study we see a potentially negative effect of too many humans on the distribution of monk parakeet nests.     

Demand for gambling: development and assessment of a gambling purchase task

Self-report purchase tasks are a novel approach examining the reinforcing value of addictive behaviour relative to increasing monetary costs required to access the addictive behaviour (i.e. demand). These measures reveal a positive relationship between the indices of demand and addiction problem severity and can elucidate factors associated with motivation for substance use. Gambling is an addictive behaviour that has not been examined using this paradigm. This study seeks to adapt and examine the purchase task for gambling behaviour. A gambling purchase task was devised that asked individuals how often per month they would gamble at various cover charges. Participants were 73 adults from the community with either gambling disorder (n = 28) or alcohol use disorder (n = 24) or were a healthy control (n = 21). Both the alcohol and gambling purchase tasks were administered. Results demonstrate discriminant validity of the gambling purchase task, as individuals with gambling disorder have significantly greater demand for accessing gambling than other groups. The alcohol purchase task also evidenced discriminant validity in that individuals with alcohol use disorder have significantly greater demand for alcohol than other groups. These findings support the use of the gambling purchase task to assess the demand for gambling.     

The sociological landscape of youth confinement

This article examines key sociological questions that are raised by the confinement of children and young people. Globally, there are approximately one million children held in confinement, and there is an emerging body of qualitative sociological research in this area. This article examines the role that social constructions of childhood innocence and evil play in shaping the processes of protection and removal, and how these constructions play a role in mediating state strategies of punishment and rehabilitation. The article also draws from an emerging body of qualitative sociological research to examine the role of youth confinement institutions in socializing vulnerable young people.     

An Ecological Model for Quantitative Risk Assessment for Schistosomiasis: The Case of a Patchy Environment in the Coastal Tropical Area of Northeastern Brazil

We developed a stochastic model for quantitative risk assessment for the Schistosoma mansoni (SM) parasite, which causes an endemic disease of public concern. The model provides answers in a useful format for public health decisions, uses data and expert opinion, and can be applied to any landscape where the snail Biomphalaria glabrata is the main intermediate host (South and Central America, the Caribbean, and Africa). It incorporates several realistic and case‐specific features: stage‐structured parasite populations, periodic praziquantel (PZQ) drug treatment for humans, density dependence, extreme events (prolonged rainfall), site‐specific sanitation quality, environmental stochasticity, monthly rainfall variation, uncertainty in parameters, and spatial dynamics. We parameterize the model through a real‐world application in the district of Porto de Galinhas (PG), one of the main touristic destinations in Brazil, where previous studies identified four parasite populations within the metapopulation. The results provide a good approximation of the dynamics of the system and are in agreement with our field observations, i.e., the lack of basic infrastructure (sanitation level and health programs) makes PG a suitable habitat for the persistence and growth of a parasite metapopulation. We quantify the risk of SM metapopulation explosion and quasi‐extinction and the time to metapopulation explosion and quasi‐extinction. We evaluate the sensitivity of the results under varying scenarios of future periodic PZQ treatment (based on the Brazilian Ministry of Health's plan) and sanitation quality. We conclude that the plan might be useful to slow SM metapopulation growth but not to control it. Additional investments in better sanitation are necessary.     

Asymptotic theory for maximum likelihood estimates in reduced-rank multivariate generalized linear models

Reduced-rank regression is a dimensionality reduction method with many applications. The asymptotic theory for reduced rank estimators of parameter matrices in multivariate linear models has been studied extensively. In contrast, few theoretical results are available for reduced-rank multivariate generalized linear models. We develop M-estimation theory for concave criterion functions that are maximized over parameter spaces that are neither convex nor closed. These results are used to derive the consistency and asymptotic distribution of maximum likelihood estimators in reduced-rank multivariate generalized linear models, when the response and predictor vectors have a joint distribution. We illustrate our results in a real data classification problem with binary covariates.