How do International Volunteering Characteristics Influence Outcomes? Perspectives from Partner Organizations

This study examines how different types of international volunteering influence common program outcomes such as building organizational capacity, developing international relationships, and performing manual labor. Survey responses were collected from 288 development-oriented volunteer partner organizations operating in 68 countries. Data on the duration of volunteer service, the volunteers’ skill levels, and other variables were used to develop a rough typology of international volunteering. Binary logistic regression models then assessed differences in outcomes across five volunteering types. Findings suggest that future research needs to be more precise about how the nuances and complexity of diverse forms of international volunteering influence outcomes.     

Spousal,Family and Gender Effects on Expected Retirement Age for Married Pre-retirees

The overall purpose of this study was to examine the degree to which retirement is a contextually embedded, family decision rather than an individualized, male-centric one. Using data from a 2010 survey of married pre-retirees ages 35–70 in Michigan, US, we created a General Linear Model to predict expected retirement age. The model incorporated the effect of spousal and family variables on expected retirement age, and because the work/family interface is highly gendered, we explored interactions with gender. The study used a life course perspective in its framing and analysis, and found that expected retirement age was related to both personal and family characteristics and that the relationship of spousal and family factors were gendered and complex.     

Is Nature‐Oriented Tourism a Pro‐Environmental Practice?: Examining Tourism–Environmentalism Alignments Through Discourse Networks and Intersectoral Relationships

A key tenet of ecotourism is that interacting with nature through tourism cultivates environmental awareness and responsibility. We examine this assumption by analyzing discourse networks and organizational networks that connect tourism and environmentalism in Newfoundland and Labrador, Canada. Using a combination of interviews, field observation, and web‐based data, we ask: Is there an alignment of tourism and environmental discourse regarding human interaction with and use of coastal environments? Are there meaningful organizational ties between tourism and environmental organizations? We conclude that there is little indication that nature‐oriented tourism is working to produce substantial changes to our broader political ecology.     

Fathers’ Imprisonment and Mothers’ Multiple-Partner Fertility

We consider the intersection between two striking U.S. trends: dramatic increases in the imprisonment of fathers and increases in the proportion of mothers who have children with more than one partner (multiple-partner fertility, or MPF). Using matched longitudinal administrative data that provide unusually comprehensive and accurate information about the occurrence and timing of imprisonment, fertility, and MPF for the population of the state of Wisconsin, we consider the relationship between paternal imprisonment and MPF among unwed mothers. Employing discrete-time event history analysis with multinomial logistic regression, we model the occurrence and timing of the mother’s second birth, distinguishing between a birth with the same father and a birth with a different father, and distinguishing between current imprisonment and a history of imprisonment. We find that current imprisonment is associated with an increased likelihood of MPF and a decreased likelihood of fertility with the same father (compared with no additional birth) and that a history of imprisonment is associated with increased MPF in some models but not in our preferred model. To control for unobserved heterogeneity among mothers and assess the evidence of a causal effect of fathers’ imprisonment, we also employ the case-time-control method, a fixed-effects method for the analysis of nonrepeated events. Results suggest that fathers’ current imprisonment may increase mothers’ MPF. Policy implications are discussed.     

Why Do Immigrants and Refugees Give Back to Their Communities and What can We Learn from Their Civic Engagement?

Each year thousands of immigrants and refugees begin their lives in new places, speaking new languages, and facing new challenges. Challenges include access to health/mental care, education, transportation, and employment. Researchers and practitioners frequently focus on challenges of newcomers and their deficits in meeting needs for self-sufficiency. This study explores newcomers’ giving back and emphasizes an untapped reservoir of strength and capacity. Based on qualitative semi-structured interviews with 54 immigrants and refugees, themes identified include (1) a desire to maintain ethnic identity and connection; (2) ethnic community as an extension of family; (3) a sense of duty and obligation; and (4) measure of achieved success. Researchers and practitioners should shift their view to recognize the strengths and capacities of newcomers who give back to their communities.     

Evaluating Probabilistic Forecasts with Bayesian Signal Detection Models

We propose the use of signal detection theory (SDT) to evaluate the performance of both probabilistic forecasting systems and individual forecasters. The main advantage of SDT is that it provides a principled way to distinguish the response from system diagnosticity, which is defined as the ability to distinguish events that occur from those that do not. There are two challenges in applying SDT to probabilistic forecasts. First, the SDT model must handle judged probabilities rather than the conventional binary decisions. Second, the model must be able to operate in the presence of sparse data generated within the context of human forecasting systems. Our approach is to specify a model of how individual forecasts are generated from underlying representations and use Bayesian inference to estimate the underlying latent parameters. Given our estimate of the underlying representations, features of the classic SDT model, such as the receiver operating characteristic (ROC) curve and the area under the ROC curve (AUC), follow immediately. We show how our approach allows ROC curves and AUCs to be applied to individuals within a group of forecasters, estimated as a function of time, and extended to measure differences in forecastability across different domains. Among the advantages of this method is that it depends only on the ordinal properties of the probabilistic forecasts. We conclude with a brief discussion of how this approach might facilitate decision making.     

Urban and agricultural soils: conflicts and trade-offs in the optimization of ecosystem services

On-going human population growth and changing patterns of resource consumption are increasing global demand for ecosystem services, many of which are provided by soils. Some of these ecosystem services are linearly related to the surface area of pervious soil, whereas others show non-linear relationships, making ecosystem service optimization a complex task. As limited land availability creates conflicting demands among various types of land use, a central challenge is how to weigh these conflicting interests and how to achieve the best solutions possible from a perspective of sustainable societal development. These conflicting interests become most apparent in soils that are the most heavily used by humans for specific purposes: urban soils used for green spaces, housing, and other infrastructure and agricultural soils for producing food, fibres and biofuels. We argue that, despite their seemingly divergent uses of land, agricultural and urban soils share common features with regards to interactions between ecosystem services, and that the trade-offs associated with decision-making, while scale- and context-dependent, can be surprisingly similar between the two systems. We propose that the trade-offs within land use types and their soil-related ecosystems services are often disproportional, and quantifying these will enable ecologists and soil scientists to help policy makers optimizing management decisions when confronted with demands for multiple services under limited land availability.