9 resultados para Violence.

em Aston University Research Archive


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The management of sleep is embedded within the social context of individuals' lives. This article is based on an exploratory study using focus groups of the sleep problems encountered by 17 women survivors of domestic violence. It argues that fear becomes the organizing framework for the management of sleep and illustrates how this takes place both while living with the perpetrators of violence and after the women have been rehoused. It argues that sleep deprivation is a method used by the perpetrators to exert control over women and that this has long-term implications for women's physical and mental health. © 2007 Sage Publication.

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This paper argues that sleep disruption is both a strategy and an effect of violence and abuse which profoundly affects the lives of women and children. This paper traces the interconnections between the patterns of sleeping (not sleeping) for women and children living with and recovering from the effects of violence and abuse. It highlights the threat to the emotional and physical well-being of children and women and provides a non-pathologizing route into an exploration of one of the symptoms of trauma. It is based on a pilot study which interviewed 17 women, 14 of whom were mothers to 28 children. Mothers reported that many of their children experienced nightmares, bed-wetting, night panics and disrupted sleep patterns. Recovery of the ability to sleep was often slow and uneven with interactive effects between women and children slowing progress.

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Domestic violence is everywhere and nowhere. No statutory organization or health service has work with either perpetrators or survivors of domestic violence (usually women and children) as the primary focus of their service, yet all agencies will have very significant numbers among their clients/service users. It is therefore crucial that the policy framework is developed both within and between agencies to address the need, and scope, of intervention in this area and particularly the impact on children. Currently, significant steps have been taken by some agencies in the UK to address this previously neglected issue, though the developments are patchy. This paper draws on a UK-wide research study which mapped the extent and range of service provision for families where there is domestic violence and also developed a framework of good practice indicators for ‘Mapped the extent and range of service provision for families where there is domestic violence and also developed a framework of good practice indicators’ provision in this area. This article examines one of the indicators of good practice arising from the research—that of policy development—within social service departments and within the multi-agency arena.

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Why is the public presentation of the war on terror suffused with sexualised racism? What does this tell us about ideas of gender, sexuality, religious and political identity and the role of the state in the Western powers? Can we diffuse inter-ethnic conflicts and change the way the West pursues its security agenda by understanding the role of sexualised racism in the war on terror? In asking such questions, Gargi Bhattacharyya considers how the concepts of imperialism, feminism, terror and security can be applied, in order to build on the influential debates about the sexualised character of colonialism. She examines the way in which western imperial violence has been associated with the rhetoric of rights and democracy - a project of bombing for freedom that has called into question the validity of western conceptions of democracy, rights and feminism. Such rhetoric has given rise to actions that go beyond simply protecting western interests or securing access to scarce resources and appear to be beyond instrumental reason. The articulations of racism that appear with the war on terror are animated by fears and sexual fantasies inexplicable by rational interest alone. There can be no resolution to this seemingly endless conflict without understanding the highly sexualised racism that animates it. Such an understanding threatens to pierce the heart of imperial relations, revealing their intense contradictions and uncovering attempts to normalise violent expropriation.

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We develop a multi-agent based model to simulate a population which comprises of two ethnic groups and a peacekeeping force. We investigate the effects of different strategies for civilian movement to the resulting violence in this bi-communal population. Specifically, we compare and contrast random and race-based migration strategies. Race-based migration leads the formation of clusters. Previous work in this area has shown that same-race clustering instigates violent behavior in otherwise passive segments of the population. Our findings confirm this. Furthermore, we show that in settings where only one of the two races adopts race-based migration it is a winning strategy especially in violently predisposed populations. On the other hand, in relatively peaceful settings clustering is a restricting factor which causes the race that adopts it to drift into annihilation. Finally, we show that when race-based migration is adopted as a strategy by both ethnic groups it results in peaceful co-existence even in the most violently predisposed populations.

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Dramatized violence has been a feature of entertainment in western civilization throughout history. The function of film violence is explored and compared to violence encountered in real life. The role of narrative in individuals' meaning-making processes is also investigated. Six adults were individually interviewed using a semi-structured schedule and narrative analysis was implemented. The findings revealed that real life violence is experientially distinct from film violence but narrative was found to be central to participants' quest for the meaning of violence in both contexts. The narrative framework of violence and whether it is justifiable were fundamental to participants' understanding. The function of violent film was found to be multifaceted: it can teach viewers about the consequences of violence; it allows them to speculate about their own and others' reactions to violence; and it provides an opportunity to experience something which is ordinarily outside of our experience in order to satisfy our human existential needs.

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We investigate the policies of (1) restricting social influence and (2) imposing curfews upon interacting citizens in a community. We compare and contrast their effects on the social order and the emerging levels of civil violence. Influence models have been used in the past in the context of decision making in a variety of application domains. The policy of curfews has been utilised with the aim of curbing social violence but little research has been done on its effectiveness. We develop a multi-agent-based model that is used to simulate a community of citizens and the police force that guards it. We find that restricting social influence does indeed pacify rebellious societies, but has the opposite effect on peaceful ones. On the other hand, our simple model indicates that restricting mobility through curfews has a pacifying effect across all types of society.

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Social streams have proven to be the mostup-to-date and inclusive information on cur-rent events. In this paper we propose a novelprobabilistic modelling framework, called violence detection model (VDM), which enables the identification of text containing violent content and extraction of violence-related topics over social media data. The proposed VDM model does not require any labeled corpora for training, instead, it only needs the in-corporation of word prior knowledge which captures whether a word indicates violence or not. We propose a novel approach of deriving word prior knowledge using the relative entropy measurement of words based on the in-tuition that low entropy words are indicative of semantically coherent topics and therefore more informative, while high entropy words indicates words whose usage is more topical diverse and therefore less informative. Our proposed VDM model has been evaluated on the TREC Microblog 2011 dataset to identify topics related to violence. Experimental results show that deriving word priors using our proposed relative entropy method is more effective than the widely-used information gain method. Moreover, VDM gives higher violence classification results and produces more coherent violence-related topics compared toa few competitive baselines.