Methods for spatial and temporal land use and land cover assessment for urban ecosystems and application in the greater Baltimore-Chesapeake region

Understanding contemporary urban landscapes requires multiple sets of spatially and temporally compatible data that can integrate historical land use patterns and disturbances to land cover. This paper presents three principal methods: (1) core analysis; (2) historic mapping; and (3) gradient analysis, to link spatial and temporal data for urban ecosystems and applies their use in the Baltimore-Chesapeake region. Paleoecological evidence derived from the geochronology of sediment cores provides data on long-term as well as recent changes in vegetative land cover. This information, combined with contemporary vegetation maps, provides a baseline for conducting trend analyses to evaluate urbanization of the landscape. A 200-year historical land use database created from historical maps, census data, and remotely sensed data provides a spatial framework for investigating human impacts on the region. A geographic information system (GIS) integrates core analyses with historic data on land use change to yield a comprehensive land use and land cover framework and rates of change. These data resources establish the regional foundation for investigating the ecological components of an urban ecosystem. Urban-rural gradient analyses and patch analyses are proposed as the most appropriate methods for studying the urban ecosystem as they link ecological and social patterns and processes for varying degrees of urbanization.     

Crossing the border: immigrant student identities in Swaziland schools

This paper sets out to explore how the resettlement of immigrant students in a host country and schooling context influenced the constitution, negotiation and representation of their identities. Data capture included a mix of semi-structured interviews, focus group interviews, observations and a researcher journal. Data were analyzed by means of the content analysis method. Findings were fivefold. First, the sociocultural context influenced the way immigrant students constructed their identities. Second, categorization was based on phenotypical features, accent, negative attitudes and stereotypical perceptions of immigrants by Swaziland society. Third negotiated identities were multiple in nature and rooted in their culture of origin. Fourth, self-determination was a strong trait of immigrants; reflected in their work ethic, in the resolution of culture conflicts, and in their drive to achieve linguistic competency. And fifth, psychosocial passing was consistent with second generation immigrants. New knowledge generated from this study revealed that African immigrants preferred to be clustered with Mozambican immigrants, as it provided solid ground from which they negotiated identities in Swaziland schools. Mozambican immigrants recruited other African immigrants into their cluster, which they referred to as the ‘Chico nation’. And, the culture of non-Christian immigrants was suppressed to promote Christian religious beliefs and values.     

Finding the niche to reposition leadership in Africa’s developing economies for the global highway: review of literature on leadership development programmes – methods and techniques*

Africa’s developing economies remain in critical need for leadership. This paper asserts that Africa’s new growth opportunities rest with leadership that could champion organizational performance, innovativeness, and good ethics among others. A review of extant literature on leadership development programmes (LDPs) was done to examine possible initiatives that leadership developers can use to influence leadership practices in Africa. This paper proposes that in Africa, LDPs can be used to inculcate authentic leadership practices and enhance networking and acquisition of innovative skills among others. Furthermore, LDPs could target the youth considering them as an investment into tomorrow’s leadership talent pool. The paper suggests that Africa’s niche for the global highway rests in contextualization of LDPs from other regions to Africa’s unique environment.     

Children’s educational attainment,occupation, and income and their parents’ mortality

Using data from Finland, this paper contributes to a small but growing body of research regarding adult children's education, occupation, and income and their parents' mortality at ages 50+ in 1970–2007. Higher levels of children's education are associated with 30–36 per cent lower parental mortality at ages 50–75, controlling for parents' education, occupation, and income. This association is fully mediated by children's occupation and income, except for cancer mortality. Having at least one child educated in healthcare is associated with 11–16 per cent lower all-cause mortality at ages 50–75, an association that is largely driven by mortality from cardiovascular diseases. Children's higher white-collar occupation and higher income is associated with 39–46 per cent lower mortality in the fully adjusted models. At ages 75+, these associations are much smaller overall and children's schooling remains more strongly associated with mortality than children's occupation or income.     

Negotiating Symbolic Boundaries in Conflict Resolution: Religion and Ethnicity in Turkey’s Kurdish Conflict

This article is an inquiry into understanding why supranational religious identity often fails to act as a conflict resolution tool in religiously homogenous ethnic conflicts. Narrowing its focus down to the role of religious elites as potential peacemakers in such conflict zones, it proposes the divergence in their conceptualizations of religious and ethnic identities as an explanatory factor. Building on 62 in-depth interviews conducted in Turkey with Sunni Muslim Kurdish and Turkish religious elites, it identifies a three-fold typology of religious and ethnic identities, as conceptualized by these elites: 1) religio-ethnic; 2) ethno-religious; 3) religious. After exemplifying each category with interview data it demonstrates the role these distinctions play in preventing the successful implementation of “Muslim fraternity” as a solution to the Kurdish conflict in Turkey. With these findings, the article contributes to both the literature on religion in conflict resolution and that on identity formation and boundary making. While it invites the former to turn its gaze from macro-level structural factors to meso- and micro-level cultural factors in analyzing religious elite involvement in conflict resolution, it invites the latter to stop employing “ethnicity” as an all-encompassing term (that covers a vast array of identity markers including religion) and focus, instead, on the gradations between religion and ethnicity as sources of identity.     

The Influence of Career Planning on Career Thoughts in STEM‐Interested Undergraduates

Undergraduate career planning courses have shown efficacy in decreasing students’ negative career thoughts; however, universities have minimally applied these courses to science, technology, engineering, and math (STEM) populations. This study compared the influence of a STEM‐focused career planning course for undecided STEM students with a seminar course for decided STEM majors. An analysis of covariance with covariate adjustment revealed that undecided career planning students had lower adjusted mean scores on a measure of negative career thinking than the decided STEM majors after the first semester of college. The results provide support for the efficacy of STEM‐focused career planning courses and measuring negative career thoughts with STEM undergraduates.     

Perceived social standing among Asian immigrants in the US: Do reasons for immigration matter?

We investigate the association between a subjective measure of social status and the reasons for immigration among Asian immigrants in the US. We use data from the National Latino and Asian American Study to test several hypotheses about this association. Our analyses show the positive effect on perceived social standing of migrating for better education, the negative effect of migrating to seek employment, and the negative impact of refugee status. Migrating for family reunification can be associated with various circumstances, which lead to differing outcomes. The results suggest that the notion that immigrants arrive in the US with limited resources and few skills and move slowly up the socioeconomic ladder must be reassessed in light of the complex social context and factors such as ethnicity, gender, divergent immigration paths, and a range of associated circumstances.     

Semiparametric estimation for count data through weighted distributions

This paper is concerned with semiparametric discrete kernel estimators when the unknown count distribution can be considered to have a general weighted Poisson form. The estimator is constructed by multiplying the Poisson estimate with a nonparametric discrete kernel-type estimate of the Poisson weight function. Comparisons are then carried out with the ordinary discrete kernel probability mass function estimators. The Poisson weight function is thus a local multiplicative correction factor, and is considered as the uniform measure to detect departures from the equidispersed Poisson distribution. In this way, the effects of dispersion and zero-proportion with respect to the standard Poisson distribution are also minimized. This method of estimation is also applied to the weighted binomial form for the count distribution having a finite support. The proposed estimators, in addition to being simple, easy-to-implement and effective, also outperform the competing nonparametric and parametric estimators in finite-sample situations. Two examples illustrate this new semiparametric estimation.     

A re-evaluation of random-effects meta-analysis

Summary.  Meta-analysis in the presence of unexplained heterogeneity is frequently undertaken by using a random-effects model, in which the effects underlying different studies are assumed to be drawn from a normal distribution. Here we discuss the justification and interpretation of such models, by addressing in turn the aims of estimation, prediction and hypothesis testing. A particular issue that we consider is the distinction between inference on the mean of the random-effects distribution and inference on the whole distribution. We suggest that random-effects meta-analyses as currently conducted often fail to provide the key results, and we investigate the extent to which distribution-free, classical and Bayesian approaches can provide satisfactory methods. We conclude that the Bayesian approach has the advantage of naturally allowing for full uncertainty, especially for prediction. However, it is not without problems, including computational intensity and sensitivity to a priori judgements. We propose a simple prediction interval for classical meta-analysis and offer extensions to standard practice of Bayesian meta-analysis, making use of an example of studies of 'set shifting' ability in people with eating disorders.