Social cleavages and electoral support in Turkey -- toward convergence?

Studies on Western democracies have shown that deep-seated social cleavages stabilize the electoral behavior and thus reduce electoral volatility. But how do social cleavages affect a party system that is undergoing democratic consolidation, such as in Turkey? In this study, investigations were carried out on long- and short-term relationships between social cleavages (religiosity, ethnicity, and sectarism) and electoral volatility in Turkey during the 1961-2002 period. Cross-sectional multiple regressions were applied to electoral and demographic data at the provincial level. The results showed that in the long-term, social cleavages on the whole have increased volatility rather than reduced it. The cleavage-volatility relationship, however, has changed over time. Repeated elections have mitigated the volatile effect of social cleavages on the voting behavior, as political parties have become more representative of the existent social cleavages.

Customary land tenure, inheritance rules, and smallholder farmers in Malawi

Based on information derived from six villages in various parts of rural Malawi, this paper examines the interrelationship between smallholder strategies to obtain land on the one hand, and customary land tenure and inheritance rules on the other. The paper revealed that although the majority of land transactions followed customary land tenure systems and inheritance rules, in a good number of cases land transactions deviated from the basic rules. One factor behind such deviation was the unique personal relationships that were developed between original landholders and heirs. Another factor was the seemingly increasing cases of returning wives in patrilineal villages. Still another factor was the intensifying land scarcity that encouraged villagers to adopt strategies to obtain land from any source by any means. On the other hand, there were also some cases in which the same land-scarcity problem induced villagers to countercheck the practice of flexible land transfer to prevent their lineage land from being alienated to non-kin members. These facts suggest that, in a land scarce situation, an individual strategy to obtain land rights from any possible sources by deviating from customary rules may occasionally be in conflict with a lineage strategy to countercheck such tendency.

Social movements and the crisis of neoliberalism in Malaysia and Thailand

Of the Southeast Asian countries most badly affected by the 1997 financial crisis, Malaysia and Thailand remain the most unsettled by its political fallout. Their present political situations are not akin to 'politics as usual'. Instead, they capture the unpredicted outcomes of post-crisis struggles to reorganize structures of economic and political power. Comparing the situations in Malaysia and Thailand, this paper focuses on their differing state and civil society engagements with neoliberalism. It is suggested that the post-crisis contestations, sometimes tied to pre-crisis conflicts in political economy, left something of a stalemate: neither neoliberalism nor the social movements satisfactorily fulfilled their agendas in either country.

Stigma, social relationship and HIV testing in the workplace : evidence from South Africa

This paper explores whether a worker's unwillingness to make his/her HIV-positive status or test-taking experience known by colleagues impedes his/her decision to test for HIV. After analyzing the new survey data provided by employees working for a large multinational enterprise in South Africa (2009-2010), this study finds that this unwillingness is negatively associated with test-taking (at the enterprise's on-site clinic) of workers who are extensively networked with close colleagues (i.e., know their phone numbers). It appears that the expected disutility associated with HIV/AIDS-related stigma prohibits test uptake. When introducing HIV counseling and testing programs into a corporate sector, providing all workers with an excuse to test in the workplace and/or inducing them to privately test outside the workplace may be effective in encouraging the uptake.

Fusion of probabilistic knowledge-based classification rules and learning automata for automatic recognition of digital images

In this paper, the fusion of probabilistic knowledge-based classification rules and learning automata theory is proposed and as a result we present a set of probabilistic classification rules with self-learning capability. The probabilities of the classification rules change dynamically guided by a supervised reinforcement process aimed at obtaining an optimum classification accuracy. This novel classifier is applied to the automatic recognition of digital images corresponding to visual landmarks for the autonomous navigation of an unmanned aerial vehicle (UAV) developed by the authors. The classification accuracy of the proposed classifier and its comparison with well-established pattern recognition methods is finally reported.

The role of rehabilitation of building in the urban integration, social cohesion and environmental responsibility

In the framework ofthe National Research Plan2008-2011, our research poses estrategy for the design and evaluation of plans and programmes of urban integrated regeneration. The objective is to develop a study on the role of rehabilitation of buildings in concepts like urban integration, social cohesion and environmental responsibility. The research proposes a methodological tool for evaluating urban regeneration processes from a holistic perspective that can serve as a guide for governments and technical teams to address intervention in consolidated urban areas with physical and socio-economic problems. The development of the tool has inevitably led to delve into different areas where you can intervene but has not lost sight of the complex interplay of factors involved in the process.It is an open source tool to visualize Urban Integrated Rehabilitation processes.

Social tags and linked data for ontology development: a case study in the financial domain

We describe a domain ontology development approach that extracts domain terms from folksonomies and enrich them with data and vocabularies from the Linked Open Data cloud. As a result, we obtain lightweight domain ontologies that combine the emergent knowledge of social tagging systems with formal knowledge from Ontologies. In order to illustrate the feasibility of our approach, we have produced an ontology in the financial domain from tags available in Delicious, using DBpedia, OpenCyc and UMBEL as additional knowledge sources.