Dimensions of Community Attachment and Their Relationship to Well‐Being in the Amenity‐Rich Rural West*

Abstract This research had two primary objectives: 1) to broaden the sociological construct of community attachment to incorporate both social and natural environment dimensions of attachment, and 2) to examine how variations in attachment relate to two dimensions of well‐being in natural amenity‐rich rural communities. The specific dimensions of well‐being measured are two important factors identified in previous research—collective action and perceptions of open communication. Factor analysis of fourteen measures of attachment indicated social attachment and attachment to the natural environment are distinct dimensions of the broader concept of community attachment. Participation in collective action and perceptions of open communication within a respondent's community explained only a small portion of the variance in levels of both social and natural environment attachment. Religious affiliation and length of residence were strongly associated with social attachment, supporting findings from previous empirical work. However, length of residence and religious affiliation were not statistically associated with levels of attachment to the natural environment, further reinforcing the distinction between the two dimensions of attachment.     

Vulnerabilities and risks in population and environment studies

In the study of risks , different sciences use the same category in different ways, each related to its own ontological assumptions. But many of these fields communicate very little with one another. This article seeks to approximate two of these areas of study that have shown similar concerns and that can mutually strengthen one another, namely, geography and demography. Geography was one of the first disciplines to include risk in its environmental dimension and has had broad experience in simultaneously focusing on social and natural dynamics. Demography, on the other hand, faces greater difficulties because only recently has it incorporated the environmental dimension into its scientific scope. Both have brought the concept of vulnerability into their conceptual framework as complementary to that of risk. Geographers understand vulnerability as a more symbiotic form of the relationship between society and nature, whereas demographers give it a strong socioeconomic component. In this regard, the conceptual discussion on risks and vulnerabilities, in its attempt at approximating these two fields, is a way of conceptually advancing and strengthening the different approaches to empirical work, especially in population–environment studies which is the common ground for the dialogue between the two disciplines.

A Two-Phase Exact Algorithm for MAX-SAT and Weighted MAX-SAT Problems

We describe a two-phase algorithm for MAX-SAT and weighted MAX-SAT problems. In the first phase, we use the GSAT heuristic to find a good solution to the problem. In the second phase, we use an enumeration procedure based on the Davis-Putnam-Loveland algorithm, to find a provably optimal solution. The first heuristic stage improves the performance of the algorithm by obtaining an upper bound on the minimum number of unsatisfied clauses that can be used in pruning branches of the search tree.We compare our algorithm with an integer programming branch-and-cut algorithm. Our implementation of the two-phase algorithm is faster than the integer programming approach on many problems. However, the integer programming approach is more effective than the two-phase algorithm on some classes of problems, including MAX-2-SAT problems.     

Cross‐Sectional Psychological and Demographic Associations of Zika Knowledge and Conspiracy Beliefs Before and After Local Zika Transmission

Perceptions of infectious diseases are important predictors of whether people engage in disease‐specific preventive behaviors. Having accurate beliefs about a given infectious disease has been found to be a necessary condition for engaging in appropriate preventive behaviors during an infectious disease outbreak, while endorsing conspiracy beliefs can inhibit preventive behaviors. Despite their seemingly opposing natures, knowledge and conspiracy beliefs may share some of the same psychological motivations, including a relationship with perceived risk and self‐efficacy (i.e., control). The 2015–2016 Zika epidemic provided an opportunity to explore this. The current research provides some exploratory tests of this topic derived from two studies with similar measures, but different primary outcomes: one study that included knowledge of Zika as a key outcome and one that included conspiracy beliefs about Zika as a key outcome. Both studies involved cross‐sectional data collections that occurred during the same two periods of the Zika outbreak: one data collection prior to the first cases of local Zika transmission in the United States (March–May 2016) and one just after the first cases of local transmission (July–August). Using ordinal logistic and linear regression analyses of data from two time points in both studies, the authors show an increase in relationship strength between greater perceived risk and self‐efficacy with both increased knowledge and increased conspiracy beliefs after local Zika transmission in the United States. Although these results highlight that similar psychological motivations may lead to Zika knowledge and conspiracy beliefs, there was a divergence in demographic association.     

Measuring unemployment

The forecasts and assumptions of government and business regarding availability of labour are based in part on official statistics has been a matter of considerable debate in recent years. In this paper the author presents his views on the interpretation of the relevant U.K. statistics.     

Minimizing makespan in an ordered flow shop with?machine-dependent processing times

We consider a generalization of the proportionate flow shop problem with the makespan objective. Each job has a processing requirement and each machine has a characteristic value. In our case, we assume that the time a job occupies a machine is equal to the processing requirement of the job plus a setup time that is equal to the characteristic value of that machine. In this paper, we consider permutation schedules and show that the problem is solvable in polynomial time when the number of machines is fixed.     

Conceptualising the psycho‐emotional aspects of disability and impairment: the distortion of personal and psychic boundaries

Recent feminist critics of the social model of disability have pointed towards a danger that disability studies may give relatively little attention to personal and emotional aspects of disablist oppression and impairment. We argue for consideration of the centrality of the distortion of personal and psychic boundaries as a key aspect of oppressive relational dynamics surrounding disability. Within the observer the disturbing psychic evocations of disability, and related defences, are connected to the maintenance of dynamics of unreal, collusory and alienating modes of relating, which may deprive disabled people of the recognition of subjective experience and personhood. Skewed socialisation of disabled people, involving inter alia the protection of the emotional lives of others, as well as the reality of inaccessible material resources, contributes to the internalisation of disablism and the ideological recruitment of disabled people as complicit in their marginalisation.     

Union militancy among public employees: A public choice hypothesis

Public employee union membership has grown from under 6 percent to over 20 percent of all union members since 1963. This growth has been ascribed to lagging wages, inelastic demands for public products, political clout, changed laws, and reduced professionalism and public spiritedness. These explanations agree that public employees now confront their employers in a newly militant and adversarial mode. We disagree. We model this growth in membership as a continuation of old public employment relations and forecast the soon diminution of militancy.     

A Non-parametric Test for Generalized First-order Autoregressive Models

We derive a non-parametric test for testing the presence of V(X_i,ε_i) in the non-parametric first-order autoregressive model X_i+1=T(X_i)+V(X_i,ε_i)+U(X_i)ε_i+1, where the function T(x) is assumed known. The test is constructed as a functional of a basic process for which we establish a weak invariance principle, under the null hypothesis and under stationarity and mixing assumptions. Bounds for the local and non-local powers are provided under a condition which ensures that the power tends to one as the sample size tends to infinity.The testing procedure can be applied, e.g. to bilinear models, ARCH models, EXPAR models and to some other uncommon models. Our results confirm the robustness of the test constructed in Ngatchou Wandji (1995) and in Diebolt & Ngatchou Wandji (1995).