Can the state empower communities through localism? An evaluation of recent approaches to neighbourhood governance in England

‘Empowerment’ is a term much used by policy-makers with an interest in improving service delivery and promoting different forms of neighbourhood governance. But the term is ambiguous and has no generally accepted definition. Indeed, there is a growing paradox between the rhetoric of community empowerment and an apparent shift towards increased centralisation of power away from the neighbourhood in developed economies. This article explores the literature relating to empowerment and identifies two broad conceptions which reflect different emphases on neo-liberalism. It goes on to discuss two models illustrating different levels of state intervention at the neighbourhood level and sets out evidence from two neighbourhood councils in Milton Keynes in central England. In conclusion, it is argued that those initiatives which are top-down, state-led policy initiatives tend to result in the least empowerment (as defined by government), whereas the bottom-up, self-help projects, which may be partly state-enabled, at least provide an opportunity to create the spaces where there is some potential for varying degrees of transformation. Further empirical research is needed to test how far localist responses can challenge constraints on empowerment imposed by neo-liberalism.

Housing at the neighbourhood level: a review of the initial approaches to neighbourhood development plans under the Localism Act 2011 in England

The Localism Act 2011 created an opportunity for local communities to form neighbourhood forums and to prepare their own neighbourhood development plans in urban and rural areas in England. Initial reactions suggested that, rather than leading to the development of more housing, these initiatives would confirm all the stereotypes of local residents blocking unwanted development in their defined neighbourhoods. However, neighbourhood plans need to be in general conformity with the core strategies of higher-tier plans and often make provision for more new homes than planned before 2011. This article discusses the role and purpose of neighbourhood plans, the evidence base on which they are founded and some of the legal challenges which have helped clarify procedures. It then identifies two types of plan based on the ways housing strategies and evidence of need are reflected in a sample of 10 plans which have been made to date. It concludes that the voluntary nature of localism to date tends to favour more rural and affluent areas and ends with an assessment of the impact of neighbourhood plans on the planning process. It suggests that the implications for spatial planning may be far-reaching.

Visual Approaches to Property Law Pedagogy

Purpose - To consider a more visual approach to property law teaching practices. This will be achieved by exploring the existence of ‘visual learners’ as a student body, evaluating the use of more visual teaching techniques in academic practice, recognising the historic dominance of text in legal education, and examining the potential for heightening visual teaching practices in the teaching of property law. Design/methodology/approach – The paper reviews and analyses some of the available literature on visual pedagogy, and visual approaches to legal education, but also introduces an amount of academic practitioner analysis. Findings – This paper evidences that, rather than focusing on the categorisation of ‘visual learner’, the modern academic practitioner should employ the customary use of more visual stimuli; consequently becoming a more ‘visual teacher’. This paper demonstrates that these practices, if performed effectively, can impact upon the information literacy of the whole student body: It also proffers a number of suggestions as to how this could be achieved within property law teaching practices. Practical implications – The paper will provide support for early-career academic practitioners, who are entering a teaching profession in a period of accelerated and continual change, by presenting an overview of pedagogic practices in the area. It will also provide a stimulus for those currently teaching on property law modules and support their transition to a more visual form of teaching practice. Originality/value – This paper provides a comprehensive overview of visual pedagogy in legal education, and specifically within that of property law, which has not been conducted elsewhere.

A Meta-Heuristic Load Balancer for Cloud Computing Systems

This paper introduces a strategy to allocate services on a cloud system without overloading the nodes and maintaining the system stability with minimum cost. We specify an abstract model of cloud resources utilization, including multiple types of resources as well as considerations for the service migration costs. A prototype meta-heuristic load balancer is demonstrated and experimental results are presented and discussed. We also propose a novel genetic algorithm, where population is seeded with the outputs of other meta-heuristic algorithms.

How women use and experience western herbal practice for distress: implications for health care and self-management approaches.

Introduction: In the UK, common mental health disorders account for one in five of all work days lost, and cost employers £25bn each year. Herbal medicine has been shown to potentially be of use for mental distress, including conditions like anxiety. In 2008, 35% of British adults surveyed claimed to have used herbal medicine at some stage, the majority of whom were women. However, there is little research into how the users of western herbal medicine (WHM) experience the practice of herbal medicine, or how these experiences may change over time. Our research is studying women in the south-east of the UK who are suffering from distress (either as a primary complaint, or associated with another condition) who are seeking the services of a herbalist who practices WHM. Aim: To investigate the experiences of western herbal practice by women who are suffering with distress. Methods: The study is using semi-structured interviews of around thirty women, to elicit patient narratives at two time points. Thematic analysis is being used to consider how distressed women perceive and experience their distress, their reasons for using WHM, what contribution the women perceive the consultation and treatment with WHM may or may not make to their wellbeing, and whether their experiences change over time. Currently, sixteen women have been interviewed, and a preliminary thematic analysis has commenced. Results: Preliminary finding suggest that not only do women internalise their distress, but that they are surprisingly isolated in how they deal with it, whilst some also express social embarrassment about their experiences. The women perceived that their distress is not always considered seriously from their medical practitioners’ point of view. These women are drawn to herbalists not only in a search for effective treatment, but also to be given time to have their story heard, to form a collaborative relationship, and to attempt to regain some control of their life. The herbal treatment is valued due to its perceived naturalness, and reduced risk of adverse side effects. Nevertheless, WHM is just one of a number of self-care strategies that women utilise to help manage their distress. Discussion: Effective treatment is not only dependent upon the herbs, but also upon an effective therapeutic relationship. Feeling that the herbalist hears their story, provides a treatment plan that is individually tailored to the patient, and is available (even outside of the consultation) are all important in helping to establish this relationship.

Are Deep Learning Approaches Suitable for Natural Language Processing?

In recent years, Deep Learning (DL) techniques have gained much at-tention from Artificial Intelligence (AI) and Natural Language Processing (NLP) research communities because these approaches can often learn features from data without the need for human design or engineering interventions. In addition, DL approaches have achieved some remarkable results. In this paper, we have surveyed major recent contributions that use DL techniques for NLP tasks. All these reviewed topics have been limited to show contributions to text understand-ing, such as sentence modelling, sentiment classification, semantic role labelling, question answering, etc. We provide an overview of deep learning architectures based on Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), Long Short-Term Memory (LSTM), and Recursive Neural Networks (RNNs).