Impact of urban structure on avian diversity along the Truckee River, USA

Urban riparian habitats are potentially important resources for native birds in arid ecosystems. Most studies have assessed the value of urban riparian habitat in terms of vegetation and natural resources; however, the surrounding land use and infrastructure may determine the viability of urban habitat. We studied the impact of urban structure, the combination of land use, infrastructure and vegetation variables that work together to shape the urban environment, on avian riparian habitat in the Truckee Meadows, Nevada, USA. Land use and infrastructure explained avian species richness and abundance better than local vegetation alone, but community resemblance was more strongly correlated to vegetation. Avian species guilds responded differentially to surrounding land use, suggesting there may be a functional difference between land use types. The best models for bird diversity used urban structure (both land use and vegetation) to describe potential habitat. Urban structure describes urban habitat in ways that vegetation variables alone cannot. Studies that ignore land use and infrastructure and other socioeconomic variables are likely missing key functional differences within urban ecosystems, and may miss the potential for compatible development that encourages both biodiversity and urban growth.     

Kazakhstan: constructing identity in a post-Soviet society

One of the problems with the now independent countries of Central Asia is that they have little history of independent statehood and even less experience of any ideological context that legitimizes a specific set of political arrangements, other than the discredited Marxist model of the Soviet system. Neither habit nor attachment to a coherent set of political ideals is very helpful as the basis for individual identification with or support of the State. Perhaps as a consequence, political operatives in Central Asian countries have opted to emphasize the centrality of ethnicity to legitimize their current political arrangements. But in Kazakhstan this presents a potential problem – the country is ethnically very diverse, has a large Russian/Slavic population and the ‘core nation’ of ethnic Kazakhs comprises a bare majority of Kazakh citizens. We utilize survey research to test the influence such factors as ethnicity, religion and other nexus of identity have on feelings of attachment to the state. Our findings indicate that identifying as ‘Kazakh’ indeed has a positive effect on identification with the state, as do identifying as Sunni Muslim and ‘Asian’. However, institutional trust and economic well-being are also positive influences on affective regard for the state, allowing an opening for broadening and deepening the basis for state legitimacy.     

Racial Resentment and Attitudes Toward the Use of Force by Police: An Over‐Time Trend Analysis

On the heels of recent police shootings of an unarmed Michael Brown in Ferguson, Missouri, Walter Scott in North Charleston, South Carolina, and the death of Freddy Gray in Baltimore, Maryland, that stoked racial tensions, this article examines how beliefs about race and racial inequality influence whites’ attitudes toward the use of force by the police since the mid‐1980s. Our main dependent measure is a composite index (“Police Force Index”) constructed from four survey items from the 1986–2012 National Opinion Research Center's General Social Survey (GSS). Results show that (1) beliefs about race do indeed significantly predict whites’ attitudes toward police use of force, and more importantly, (2) this effect has remained constant since the mid‐1980s. We discuss theoretical and practical implications of these findings and suggestions for future research.     

Detecting interaction links in a collaborating group using manually annotated data

Identification of network linkages through direct observation of human interaction has long been a staple of network analysis. It is, however, time consuming and labor intensive when undertaken by human observers. This paper describes the development and validation of a two-stage methodology for automating the identification of network links from direct observation of groups in which members are free to move around a space. The initial manual annotation stage utilizes a web-based interface to support manual coding of physical location, posture, and gaze direction of group members from snapshots taken from video recordings of groups. The second stage uses the manually annotated data as input for machine learning to automate the inference of links among group members. The manual codings were treated as observed variables and the theory of turn taking in conversation was used to model temporal dependencies among interaction links, forming a Dynamic Bayesian Network (DBN). The DBN was modeled using the Bayes Net Toolkit and parameters were learned using Expectation Maximization (EM) algorithm. The Viterbi algorithm was adapted to perform the inference in DBN. The result is a time series of linkages for arbitrarily long segments that utilizes statistical distributions to estimate linkages. The validity of the method was assessed through comparing the accuracy of automatically detected links to manually identified links. Results show adequate validity and suggest routes for improvement of the method.     

WHY ZERO TOLERANCE OF MISCONDUCT IS UNDESIRABLE IN CONTESTS

Competition can foster misconduct in any circumstance where the organizer of a contest cannot perfectly monitor contestants' actions or when doing so is prohibitively costly. Although misconduct comprises all actions that are contrary to the interest of the organizer, it is not necessarily the case that it is optimal to prohibit all such behavior. In this paper, we determine the equilibrium level of misconduct chosen by players in a symmetric rank‐order tournament between two competitors in which the organizer tolerates some level of misconduct. In addition to showing that zero tolerance may not minimize the level of misconduct in equilibrium, we show that there exists a range of tolerated misconduct where a symmetric mixed strategy equilibrium exists with players cheating (i.e., misconduct above the tolerated level) with some probability. When the gain from misconduct is uncertain and unknown the contest organizer faces a tradeoff: tolerating more misconduct will reduce such behavior when the state of temptation is high, but increase it when temptation is low. (JEL J33, K42)     

Venues and Filters in Managed Migration Policy: The Case of the United Kingdom

The United Kingdom, like many developed world economies, has witnessed unprecedented immigration since the early 1990s. Also in line with other developed world economies, the United Kingdom has adopted a “managed migration” policy paradigm. The paper argues that the operation of this paradigm is best understood with reference to two key concepts: migration policy “venues” and migration policy “filters.” In terms of the former, the paper argues that managed migration policy is associated with outward, upward, and downward rescaling and commensurate venue growth and diversification. In terms of the latter, the paper argues that six policy filters (legal, geographical, credential, transfer‐based, monetary, and humanitarian) are commonly used to determine legitimate forms of migration but that one (the geographical filter) has been particularly prominent within the United Kingdom's managed migration policy paradigm.     

Differences in Cognitive Distortions Between Pathological and Non-Pathological Gamblers with Preferences for Chance or Skill Games

Cognitive distortions have been thought to play an important role in the development and maintenance of pathological gambling. The present study investigated whether severity of gambling problems and gamblers’ preference for chance or skill games were related to two sub-factors of cognitive distortions as measured by the Gamblers Belief Questionnaire: Luck/Perseverance, which reflects an individual’s perception that chance is favorable to him/her, and Illusion of Control, which reflects an individual’s perception that his/her behavior influences chance occurrences. Participants (N = 166) were recruited from a race track (n = 79), off-course betting facilities (n = 50) and from an online treatment program for problem gamblers (n = 49). Gambling severity was measured by the South Oaks Gambling Screen, and 73 were classified as pathological gamblers whereas 93 were classified as non-pathological gamblers. The present study supports previous proposals that cognitive distortions are core processes related to gambling behavior as pathological gamblers reported more cognitive distortions than did non-pathological gamblers. A preference for skill games was also associated with greater Illusion of Control compared to a preference for chance games. For gamblers preferring skill games there were no differences in Luck/Perseverance or Illusion of Control between pathological and non-pathological gamblers.