Social cohesion, sexuality, homophobia and women’s sport in South Africa

In the post-Apartheid era sport has been consistently celebrated as an avenue for fostering social change, curing various social ills, and uniting South Africans across the divides of race, class, gender and geography. The argument for using sport to foster social cohesion in South Africa rests on two main assumptions: firstly, that direct participation in sport and physical activity promotes sustained communication, collaboration and understanding across social divides; and secondly, that the success of national teams and athletes promotes national pride and unity. In this article we raise the question of whether sport can indeed foster social cohesion in a context where women’s sports participation and symbolic embodiment of the nation give rise to regulatory schemas that enforce compulsory heterosexuality and mainstream constructs of ‘feminisation’. We explore these issues by drawing on media reports of cases in which South African elite women athletes have had their gender or sexual identities questioned, challenged or regulated according to heteronormative gender regimes. By so doing we argue that efforts to increase women’s sports participation or the promotion of women athletes as embodiments of the nation can contribute to facilitating social cohesion. To realise the potential of sport as a tool for building social cohesion, a conscious and dedicated effort must be made, we argue, to deal more directly with narrow heteronormative gender regimes and the homophobic attitudes and prejudices that these foster.Keywords: Gender, sexuality, homophobia, sport, social cohesion, race,South Afric

Finishing the euchromatic sequence of the human genome

The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

A Step Towards A Computing Grid For The LHC Experiments: ATLAS Data Challenge 1

The ATLAS Collaboration at CERN is preparing for the data taking and analysis at the LHC that will start in 2007. Therefore, a series of Data Challenges was started in 2002 whose goals are the validation of the Computing Model, of the complete software suite, of the data model, and to ensure the correctness of the technical choices to be made for the final offline computing environment. A major feature of the first Data Challenge (DC1) was the preparation and the deployment of the software required for the production of large event samples as a worldwide distributed activity. It should be noted that it was not an option to "run the complete production at CERN" even if we had wanted to; the resources were not available at CERN to carry out the production on a reasonable time-scale. The great challenge of organising and carrying out this large-scale production at a significant number of sites around the world had therefore to be faced. However, the benefits of this are manifold: apart from realising the required computing resources, this exercise created worldwide momentum for ATLAS computing as a whole. This report describes in detail the main steps carried out in DC1 and what has been learned form them as a step towards a computing Grid for the LHC experiments