104 resultados para meaning of public space


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There is a growing incentive for sociologists to demonstrate the use value of their research. Research ‘impact’ is a driver of research funding and a measure of academic standing. Academic debate on this issue has intensified since Burawoy’s (2004) call for a ‘public’ sociology. However the academy is no longer the sole or primary producer of knowledge and empirical sociologists need to contend with the ‘huge swathes’ of social data that now exist (Savage and Burrows, 2007). This article furthers these debates by considering power struggles between competing forms of knowledge. Using a case study, it specifically considers the power struggle between normative and empirical knowledge, and how providers of knowledge assert legitimacy for their truth claims. The article concludes that the idea of ‘impact’ and ‘use-value’ are extremely complex and depends in the policy context on knowledge power struggles, and on how policy makers want to view the world. © The Author(s) 2012

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Drawing upon original survey research this article seeks to identify the generative processes that influence perceptions of the police in the context of an inner-city neighbourhood in Northern Ireland that has been affected by increases in crime and disorder in the aftermath of the peace process. Conceptually we draw upon recent research from England and Wales that outlines confidence in the police in terms of instrumental and expressive dimensions. We apply this framework and consider whether it provides a useful template for understanding the post-conflict dynamics of police-community relations in our study area. Contrary to much received wisdom our analysis suggests that instrumental concerns about crime and illegal activity are a more influential predictor of attitudes to the police than expressive concerns with disorder and anti-social behaviour. Consequently our discussion points to the variance in local and national survey data and questions the degree to which the latter can usefully inform our understanding of trends and developments in discrete micro-spaces. Our conclusion outlines the potential policy implications for state policing practice in deprived urban spaces.

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This special issue seeks to engage the term 'stewardship' and the practical and theoretical work around it, both of which are destined to remain items of unfinished business as governance struggles to keep up and connect with its fast moving technological and societal targets. While this special issue is testament to that observation, it also helps to foster much needed scholarly discussion and critique – and to ensure this field is not unwittingly formed and deployed by and as a legitimating support for governance, but rather opened up, elaborated and contested. The articles provide innovative insights and food for thought on the conception and legal-political practice and potential of stewardship and ‘super-stewardship’ in national, supranational and international settings.

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Introduces the articles in the special issue.

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In light of recent debates on ‘public criminology’, this paper chooses to focus on teaching as a way of reaching more publics. The various characteristics of a more public and engaged discipline are discussed and applied specifically to the teaching of criminology, including the relative merits and demerits of reorienting teaching in this way. Following on from this discussion, the paper proceeds to outline some practical ways in which this vision can be realised. Given the many affinities betweenthe Burawoyan concept of public ‘-ologies’ and the scholarship of learning and teaching, an argument is advanced for teaching as one of the first steps towards the practice of a more public criminology.

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Most research on compliance with medical regimens takes a doctor-centered perspective and proceeds from certain assumptions. This paper presents an alternative, patient-centered approach to managing medications, using data from 80 in-depth interviews of people with epilepsy. This approach focuses on the meanings of medication in people's everyday lives and looks at why people take their medications as well as why they do not. I argue that from a patient's perspective the issue is more one of self-regulation than compliance. When we examine 'noncompliance' beyond difficulties with 'side effects' an drug efficacy, the meanings of self-regulation include testing, controlling dependence destigmatization and creating a practical practice. What appears to be noncompliance from a medical perspective may actually be a form of asserting control over one's disorder.

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This article shows how both employers and the state have influenced macro-level processes and structures concerning the content and transposition of the European Union (EU) Employee Information and Consultation (I&C) Directive. It argues that the processes of regulation occupied by employers reinforce a voluntarism which marginalizes rather than shares decision-making power with workers. The contribution advances the conceptual lens of ‘regulatory space’ by building on Lukes’ multiple faces of power to better understand how employment regulation is determined across transnational, national and enterprise levels. The research proposes an integrated analytical framework on which ‘occupancy’ of regulatory space can be evaluated in comparative national contexts.

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In most previous research on distributional semantics, Vector Space Models (VSMs) of words are built either from topical information (e.g., documents in which a word is present), or from syntactic/semantic types of words (e.g., dependency parse links of a word in sentences), but not both. In this paper, we explore the utility of combining these two representations to build VSM for the task of semantic composition of adjective-noun phrases. Through extensive experiments on benchmark datasets, we find that even though a type-based VSM is effective for semantic composition, it is often outperformed by a VSM built using a combination of topic- and type-based statistics. We also introduce a new evaluation task wherein we predict the composed vector representation of a phrase from the brain activity of a human subject reading that phrase. We exploit a large syntactically parsed corpus of 16 billion tokens to build our VSMs, with vectors for both phrases and words, and make them publicly available.