Societal Actors Shape Collective Identities of Minorities: Procedural Fairness Climate Effects on Identification,Subjective Well-Being and Psychological Health

In the present studies, we aimed to show that the perceived procedural fairness of societal actors’ multicultural decisions promotes ethnic minority members’ societal identification. These enhanced identification levels, in turn, contribute to better psychological health and well-being. Firstly, a vignette study in a sample of African Americans explored the effect of procedural fairness climate on identification. The second and third studies used self-report questionnaires. Study 2 consisted of a sample of sojourners in a university context, Study 3 analyzed online data through an African American sample. The studies provided evidence for the effect of procedural fairness climate on increased societal identification, which in turn mediates the fairness effect on increased well-being and psychological health. Societal actors can use procedural fairness to increase well-being when making decisions that involve ethnic minorities.

     

Regime type versus patronal politics: a comparison of “ardent democrats” in Kazakhstan and Kyrgyzstan

Kazakhstan is home to the longest serving ruler in post-Soviet Eurasia while Kyrgyzstan is among the region’s most competitive polities. Do these regime differences correspond to divergence in political attitudes, as an extensive body of literature posits? Are Kyrgyzstanis more likely to strongly support democratic ideals? Are Kazakhstanis less likely? Contrary to expectations, data reveal the two populations to be attitudinally indistinguishable when it comes to strong support for practices associated with democracy. Whatever country differences we find are minor or statistically insignificant. We explain this convergence by shifting focus away from the political features that distinguish the two nascent democracy versus consolidated authoritarianism to those that they hold in common. Notwithstanding major constitutional reform in Kyrgyzstan in 2010, politics there, as in Kazakhstan, remains fundamentally patronal, or patronage- based. Mass attitudes, we argue, align in many ways with the countries’ shared patronal politics, rather than with their contrasting regime types.     

Pitfalls of Computed Tomography 3D Reconstruction Models in Cranial Nonmetric Analysis*

Many studies in the literature have highlighted the utility of virtual 3D databanks as a substitute for real skeletal collections and the important application of radiological records in personal identification. However, none have investigated the accuracy of virtual material compared to skeletal remains in nonmetric variant analysis using 3D models. The present study investigates the accuracy of 20 computed tomography (CT) 3D reconstruction models compared to the real crania, focusing on the quality of the reproduction of the real crania and the possibility to detect 29 dental/cranial morphological variations in 3D images. An interobserver analysis was performed to evaluate trait identification, number, position, and shape. Results demonstrate a false bone loss in 3D models in some cranial regions, specifically the maxillary and occipital bones in 85% and 20% of the samples. Additional analyses revealed several difficulties in the detection of cranial nonmetric traits in 3D models, resulting in incorrect identification in circa 70% of the traits. In particular, pitfalls included the detection of erroneous position, error in presence/absence rates, in number, and in shape. The lowest percentages of correct evaluations were found in traits localized in the lateral side of the cranium and for the infraorbital suture, mastoid foramen, and crenulation. The present study highlights important pitfalls in CT scan when compared with the real crania for nonmetric analysis. This may have crucial consequences in cases where 3D databanks are used as a source of reference population data for nonmetric traits and pathologies and during bone-CT comparisons for identification purposes.     

Holding on tight – NPM and the New Zealand performance improvement framework

The New Zealand Government's Performance Improvement Framework (PIF) is aimed at public sector organisational improvement. The PIF exemplifies how the characteristics of new public management (NPM) challenge the evolution of performance systems attempting to go beyond performance management. The paper provides an empirical example of the operation of the PIF, using a theoretical frame derived from the literature. The analysis suggests that the PIF design does not yet mitigate the effects of gaming, synecdoche, and reputation-protecting behaviour. The common graded ratings continue to hold the attention of those to whom the PIF is important, acting as a proxy for the whole performance of the organisation. This is a case study of how, despite promising adaptations, performance improvement efforts remain hampered by NPM limitations.     

Differentiation and survival among North Carolina smallholders: An empirical perspective on the Lenin‐Chayanov debate

This article addresses theoretical issues concerning differentiation and class formation using North American data. It explores how socio‐economic characteristics vary and impact survival in agriculture. The study is based on panel data collected from a sample of smallholders in three Piedmont North Carolina counties. Factor analysis reveals five major dimensions of differentiation: scale, household labour, off‐farm family labour and income, demographic characteristics, and land tenure. An index of propensity to survive in agriculture, constructed from three waves of panel data is regressed upon five indices measuring the underlying dimensions of differentiation. Land tenure manifests a statistically significant net effect on survival in agriculture. These empirical results support theoretical arguments in favour of integrating analyses of socio‐economic and demographic differentiation in the study of agricultural enterprises.     

Regional growth linkages from agriculture

Pioneering research on downstream linkages from agriculture is said to demonstrate that consumption links rather than production links are the main source of indrect growth effects, that these consumption links take the form of labour‐intensive goods and services produced locally, and that the largest farm enterprises are most locally multiplicative of activities mopping up surplus rural labour. This article has two purposes. First, the methodologies, assumptions and data base for the quantification of the local and non‐local regional multiplier effects from agricultural development are examined. Second, the contradictory interpretations for agricultural policy which have arisen from these exercises of quantification are discussed and an attempt made to explain their bases.