Supporting Asylum Seekers and Refugees in Glasgow: The Role of Multi-agency Networks

The implementation of a dispersal policy in Britain has broughtasylum seekers to regions of the country which previously hadlittle experience of providing services for this group. Around10,000 asylum seekers have been resettled in the city of Glasgowsince 2000 as a result of the policy. Multi-agency networkshave been established in Glasgow as a medium for facilitatingco-operation across the voluntary and statutory sectors forthe provision of locally-based support services, while alsofacilitating community development. This paper explores theexperiences of these networks since their inception. While highlightingthe continuing importance of the voluntary sector in supportingasylum seekers and refugees, it raises concerns over the reactiveway in which services have been provided, where responsibilityhas fallen on voluntary and community organizations to fillgaps in statutory service provision. It further examines theimplications for social cohesion of housing-led resettlement,which has largely been in areas suffering from social deprivation.The findings highlight the frustrations of service providersworking within a disjointed policy framework, characterizedby contradictions between Scottish and UK policy goals.     

A spatial analysis of county-level outcomes in US Presidential elections: 1988–2000

This paper identifies spatial patterns of county-level presidential election outcomes from 1988 to 2000, and tests the retrospective (reward–punishment) and issue–priority models of voting behavior within the context of county-level geographical clusters. Based on our spatial analyses, we find that: the geographical concentration of the partisan vote has increased at both the global and regional scales. Globally, counties have become more likely to be clustered with similar counties in terms of their partisan support. Regionally, Democrats have increasingly received more votes from the East and the urban areas than Republican candidates while the opposite is true in the West and the rural areas. The regression analyses also support aspects of the issue–priority model of voting behavior, while the retrospective theory is confirmed only for 1996.     

Social networks and non‐market strategy

To date, the field of non‐market strategy has little to offer in the way of an integrated perspective on the simultaneous management of strategic issues and corporate stakeholders. This paper employs social network analysis to make a number of theoretically grounded conjectures about the delicate relationships between stakeholder behaviour and issue evolution. It is found that social network analysis has the potential to enrich and integrate theoretical perspectives in the field of non‐market strategy, offering solutions to a set of previously unresolved puzzles. Copyright © 2004 Henry Stewart Publications     

农村留守妇女的社会支持网构成研究——基于16省66县2414名留守妇女的调查

社会支持网是正式的社会保障体系的一种补充。在工业化、城市化的浪潮中,大量青壮年农民进城务工,传统的"男耕女织"演变为"男工女耕",农村留守妇女成为新农村建设的主力军,不得不重构自己的社会支持网。然而,目前国内很少有关于农村留守妇女的个体社会支持网构成的实证研究。本文通过对16个省份2414名留守妇女的抽样问卷调查资料系统考察留守妇女的社会支持网的构成。调查发现:丈夫仍然是"缺席"的户主,构成留守妇女情感支持网、财务支持网的重心;"娘家人"在留守妇女社会支持网中的重要性超过了"公婆",尤其在情感支持和财务支持方面;邻居、朋友都是留守妇女日常交往的主要对象,邻居还对留守妇女的生产活动提供帮扶,而朋友则是留守妇女情感倾诉的主要对象之一。亲属倾向于情感支持、财务支持,而非亲属倾向于交往支持。     

Afterward: Law Enforcement Response Strategies for Criminal-states and Criminal-soldiers

Criminal-states and Criminal-soldiers are two interrelated threats that challenge order and stability at local, national, and potentially global levels. Policing and law enforcement are essential to securing the conditions necessary for stable governance and preserving the rule of law. Law enforcement and police services play key roles in ensuring community stability. They also control and contain criminal threats, protect individual liberties, and enable other political and diplomatic processes to function. This afterward examines the role of police and enforcement agencies in countering the threats posed by criminal-soldiers in order to prevent the establishment or spread of criminal-states.     

It Takes a Coalition: The Community Impacts of Collaboration

Members of Congress frequently collaborate on policy initiatives, reaching out to colleagues in both parties to find common ground on solutions for the problems faced by their constituents. Using a novel dataset of over 30,000 “Dear Colleague” letters sent by members of the 111th Congress, I use the collaborative relationships that exist in the earliest stages of the policy process to measure the social influence of legislators. I demonstrate that districts represented by members of Congress who are better connected to their colleagues receive a greater share of federal grant money. I argue that this is because collaborative legislators are well‐positioned to be influential allies to strategic bureaucrats who want to maintain a broad base of support for their programs in Congress. Thus, devoting resources to building relationships with their colleagues is one way members of Congress can more effectively support the communities they represent.     

Political Parties and Grassroots Clientelist Strategies in Urban Turkey: One Neighbourhood at a Time

Both principal Turkish political parties make extensive use of patron–client networks, but in very different ways. The CHP relies on competing local brokers and synchronous vote buying. The AKP is at the centre of a network of public and private funding turning social policy to clientelist ends. Socially anchored AKP activists link the party to voters, allowing it to target social assistance for political advantage and take credit for improvement in local conditions. The case presented in this paper provides a natural experiment suggesting that this distinction is an important explanation for the AKP’s electoral success in low-income urban areas.     

An Empirical Investigation of the Factors Affecting the Use of Social Networks in Human Resources Recruitment

ABSTRACT

The main objective of this study is to investigate the factors affecting the use of social networks towards recruiting human resources for organizations. Through an in-depth review of the relevant literature, a questionnaire was designed and distributed among the sample and collected data were analyzed using PLS-Software. Results revealed that 50?75% of organizations use social networks in their organizations and all the identified effective factors in the use of social networks for human resources recruitment were confirmed, except for “hope for performance”. “Facilitating conditions” have the highest impact on the usage of social networks in recruiting, “Social influence” identified as one of the most important factors in people’s behavioral intention for the usage of social networks in recruitment and “Effort expectancy” had the least impact on behavioral intention. In addition, Gender and the level of education have no impact on the behavioral intention and the behavior of usage of social networking.     

Reply to Mac Giolla and Ly (2019): On the reporting of Bayes factors in deception research

Bayes factors provide a continuous measure of evidence for one hypothesis (e.g., the null, H0) relative to another (e.g., the alternative, H1). Warmelink et al. (2019, Legal Criminol Psychol, 24, 258) reported Bayes factors alongside p‐values to draw inferences about whether the order of expected versus unexpected questions influenced the amount of details interviewees provided during an interview. Mac Giolla & Ly (2019) provided several recommendations to improve the reporting of Bayesian analyses and used Warmelink et al. (2019) as a concrete example. These included (I) not to over‐rely on cut‐offs when interpreting Bayes factors; (II) to rely less on Bayes factors, and switch to ‘nominal support’; and (III) to report the posterior distribution. This paper elaborates on their recommendations and provides two further suggestions for improvement. First, we recommend deception researchers report Robustness Regions to demonstrate the sensitivity of their conclusions to the model of H1 used. Second, we demonstrate a method that deception researchers can use to estimate, a priori, the sample size likely to be required to provide conclusive evidence.     

New Approaches to Age Estimation Using Palatal Suture Fusion

Palatal suture fusion has seen little testing and/or application due in part to an inadequately described relationship to formal age ranges. This study presents a modified scoring method that examines fusion on samples of modern documented adult males and compares two Bayesian approaches to age estimation. In the first analysis, American and Portuguese collections were used to derive univariate and multivariate transition analysis (TA) parameters, which combined with an informative prior, estimated age in a sample of modern Americans and Portuguese. For the second analysis, a Bayesian multiple linear regression (BMLR) used indicator statuses as the independent variables with age as the dependent variable. Highest posterior density regions (HPDRs) and highest posterior density intervals (HDI) were calculated for a holdout sample. Final age estimates for the methods were tested for accuracy using cumulative binomial tests at 75% and 90% coverages. The HPDRs from multivariate TA captured age better for younger individuals, but consistently underaged. The cumulative binomial tests on the BMLR results indicated the prediction intervals performed as expected, and we show they are narrower (more precise) and/or more accurate than the corresponding HPDR. The modified method presented here formally links palatal suture obliteration to age using two different approaches, one of which (BMLR) is new to the aging literature. The BMLR provided results free from bias and more reasonable age ranges while maintaining accuracy. We present a look-up table and a free, simple R file for users to download and run their own estimates with BMLR.