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.     

Revisiting gendered assumptions of practitioner power: An exploratory study examining the role of social media expertise

The purpose of this exploratory study was to expand upon previous literatures in public relations power, and fill the need for more scholarship regarding practitioners’ perceptions of social media work, power, and gender. Findings from a survey of PRSA members showed that there is a gendered difference in power perception between males and females regardless of their PR roles or level of experience, but social media expertise was perceived equally between both genders. We argue that while social media expertise may serve to reduce a gendered power divide in public relations, continued critical exploration of social media and gender inequality is necessary.     

From Foster Care to Adoption and Guardianship: A Twenty-First Century Challenge

For nearly four decades, child welfare policy and practice have focused on the achievement of legal permanence for children in foster care. Although federal child welfare policy has resulted in the movement of children from state custody to legally permanent adoptive or guardianship families, little is known about the quality and enduring nature of these placements. A significant challenge of the twenty-first century child welfare system is how to ensure the well-being of children currently living with adoptive parents or guardians. This paper discusses child welfare policy and trends related to post-permanency well-being, including the decrease in Title IV-E foster care caseloads nationwide and the simultaneous increase in Title IV-E adoptive and guardianship caseloads. We highlight the needs of a twenty-first century child welfare system, including increased federal efforts to ensure child permanence and well-being after legal adoption or guardianship has been achieved, as well as more rigorous longitudinal and interdisciplinary research focused on the post-permanency adjustment of children and their families.     

Should NPOs Follow International Standards for Financial Reporting? A Multinational Study of Views

Financial reporting is an important aspect of not-for-profit organisations’ (NPOs’) accountability. Globally, numerous and varying regimes exist by which jurisdictions regulate NPO financial reporting. This article explores whether NPOs should be required or expected to follow sector-specific international financial reporting standards. We investigate stakeholder perceptions on the nature and scope of any such developed standards, interpreting our findings through the lens of moral legitimacy. Using an international online survey of stakeholders involved in NPO financial reporting, we analyse 605 responses from 179 countries. Based on our findings, we argue that diverse stakeholder groups, especially those who are involved with NPO financial reporting in developing countries, are likely to grant moral legitimacy to developed NPO international accounting standards if the consequences are to enhance NPO accounting and accountability information, subject to agreement as to whether all or only NPOs of a certain size should comply and whether any such standards should be mandatory.     

The generalized log-gamma mixture model with covariates: local influence and residual analysis

In a sample of censored survival times, the presence of an immune proportion of individuals who are not subject to death, failure or relapse, may be indicated by a relatively high number of individuals with large censored survival times. In this paper the generalized log-gamma model is modified for the possibility that long-term survivors may be present in the data. The model attempts to separately estimate the effects of covariates on the surviving fraction, that is, the proportion of the population for which the event never occurs. The logistic function is used for the regression model of the surviving fraction. Inference for the model parameters is considered via maximum likelihood. Some influence methods, such as the local influence and total local influence of an individual are derived, analyzed and discussed. Finally, a data set from the medical area is analyzed under the log-gamma generalized mixture model. A residual analysis is performed in order to select an appropriate model. The authors would like to thank the editor and referees for their helpful comments. This work was supported by CNPq, Brazil.     

Analysis of robust design experiments with time-dependent ordinal response characteristics: a quality improvement study from the horticulture industry

An approach to the analysis of time-dependent ordinal quality score data from robust design experiments is developed and applied to an experiment from commercial horticultural research, using concepts of product robustness and longevity that are familiar to analysts in engineering research. A two-stage analysis is used to develop models describing the effects of a number of experimental treatments on the rate of post-sales product quality decline. The first stage uses a polynomial function on a transformed scale to approximate the quality decline for an individual experimental unit using derived coefficients and the second stage uses a joint mean and dispersion model to investigate the effects of the experimental treatments on these derived coefficients. The approach, developed specifically for an application in horticulture, is exemplified with data from a trial testing ornamental plants that are subjected to a range of treatments during production and home-life. The results of the analysis show how a number of control and noise factors affect the rate of post-production quality decline. Although the model is used to analyse quality data from a trial on ornamental plants, the approach developed is expected to be more generally applicable to a wide range of other complex production systems.     

A new estimation method for Weibull-type tails based on the mean excess function

Studying the right tail of a distribution, one can classify the distributions into three classes based on the extreme value index γ$\gamma$. The class γ>0$\gamma >0$ corresponds to Pareto-type or heavy tailed distributions, while γ<0$\gamma <0$ indicates that the underlying distribution has a finite endpoint. The Weibull-type distributions form an important subgroup within the Gumbel class with γ=0$\gamma =0$. The tail behaviour can then be specified using the Weibull tail index. Classical estimators of this index show severe bias. In this paper we present a new estimation approach based on the mean excess function, which exhibits improved bias and mean squared error. The asserted properties are supported by simulation experiments and asymptotic results. Illustrations with real life data sets are provided.