122 research outputs found

    A Defence of Scholactivism

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    Viewpoint Discrimination, Hate Speech Laws, and the Double-Sided Nature of Freedom of Speech

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    Part of Symposium: Hate Speech and Political Legitimac

    ‘I’m not your mother’: British social realism, neoliberalism and the maternal subject in Sally Wainwright’s Happy Valley (BBC1 2014-2016)

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    This article examines Sally Wainwright's Happy Valley (BBC1, 2014–2016) in the context of recent feminist attempts to theorise the idea of a maternal subject. Happy Valley, a police series set in an economically disadvantaged community in West Yorkshire, has been seen as expanding the genre of British social realism, in its focus on strong Northern women, by giving it ‘a female voice’ (Gorton, 2016: 73). I argue that its challenge is more substantial. Both the tradition of British social realism on which the series draws, and the neoliberal narratives of the family which formed the discursive context of its production, I argue, are founded on a social imaginary in which the mother is seen as responsible for the production of the selves of others, but cannot herself be a subject. The series itself, however, places at its centre an active, articulate, mobile and angry maternal subject. In so doing, it radically contests both a tradition of British social realism rooted in male nostalgia and more recent neoliberal narratives of maternal guilt and lifestyle choice. It does this through a more fundamental contestation: of the wider cultural narratives about selfhood and the maternal that underpin both. Its reflective maternal subject, whose narrative journey involves acceptance of an irrecoverable loss, anger and guilt as a crucial aspect of subjectivity, and who embodies an ethics of relationality, is a figure impossible in conventional accounts of subject and nation. She can be understood, however, in terms of recent feminist theories of the maternal

    Evolution of plant–pollinator mutualisms in response to climate change

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    Climate change has the potential to desynchronize the phenologies of interdependent species, with potentially catastrophic effects on mutualist populations. Phenologies can evolve, but the role of evolution in the response of mutualisms to climate change is poorly understood. We developed a model that explicitly considers both the evolution and the population dynamics of a plant–pollinator mutualism under climate change. How the populations evolve, and thus whether the populations and the mutualism persist, depends not only on the rate of climate change but also on the densities and phenologies of other species in the community. Abundant alternative mutualist partners with broad temporal distributions can make a mutualism more robust to climate change, while abundant alternative partners with narrow temporal distributions can make a mutualism less robust. How community composition and the rate of climate change affect the persistence of mutualisms is mediated by two-species Allee thresholds. Understanding these thresholds will help researchers to identify those mutualisms at highest risk owing to climate change

    Finishing the euchromatic sequence of the human genome

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    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
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