462 research outputs found

    I am a Contradiction: Feminism and Feminist Identity in the Third Wave

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    How is Third Wave feminism defined? What are the implications for self-labeling as a feminist and the evolution of the “I’m not a feminist, but. . . .” group? While much controversy surrounds the etiology and even the very existence of a “Third Wave” of feminism, this nascent movement is a significant aspect of the current dialogue on contemporary feminism. Therefore, it is important to examine the history and the meaning of the identity of Third Wave. In an attempt to elucidate contemporary feminism, four key Third Wave collections of personal narratives were chosen and analyzed for current definitions of feminism. The anthologies used for this research contain the voices of numerous activists from 1995 to 2006 and represent a diverse range of individuals. A thematic analysis produced four themes: inclusion, multiplicity, contradiction, and everyday feminism. An analysis of the interconnections of these themes brought forth the question of whether a movement that is genuinely attuned to inclusion, multiplicity and contradiction can embrace the feminist label, or any label. Labels create boundaries and define the in-group, which is antithetical to these principles of Third Wave feminism. This might explain the current trend in research that finds many individuals supporting feminist ideology but resisting the feminist label. That is, the phrase “I’m not a feminist, but. . . .” may not simply be a reaction to a disparaged label but more precisely, an acknowledgement of the limits and liabilities of categorization

    Recovery approaches in mental health : A qualitative evaluation of the Whole Life Therapy programme for persons with schizophrenia

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    This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International LicenseThe recovery approach within mental health services has in recent years been influential in promoting more active participation from service users concerning their treatment and progress, within a move towards models of interventions based on social models and ideas of service user empowerment. Although mental health recovery models are often heralded as ideological goals, comparatively little has been documented about the means of achieving these. This article sets out the nature and content of the Whole Life Programme, used within the Hertfordshire NHS Partnership Foundation Trust, and the results of qualitative research into the programme that set out to analyse the impact of its delivery from the perspectives of service users. The research examined the experiences and views of participants receiving treatment several months after the completion of the programme, and also of those who withdrew prematurely, in order to learn from these experiences, adding to our understanding of how one recovery based approach, the Whole Life Manual, can be applied in practiceNon peer reviewedFinal Published versio

    Attitudes Towards Vaccination Among Medical Students: A Two-Site Study

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    Introduction: Mandatory immunization for school age children in the 20th Century led to a substantial decline in infectious disease. All US states allow medical exemptions from immunizations with 49 permitting additional religious exemptions and 19 permitting additional philosophical exemptions. Vaccine exemptions have lead to an increase in the incidence of disease outbreaks. Healthcare providers play a critical role in educating parents about the benefits and risks of immunizations. This project compares student attitudes and knowledge regarding vaccination at medical schools in two distinct states: one with no additional exemptions (West Virginia) and one with both additional exemptions (Vermont).https://scholarworks.uvm.edu/comphp_gallery/1218/thumbnail.jp

    Improving Maine’s Future through Education: Overcoming Challenges and Learning to “Row” Together

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    Although people agree that education is a crucial ingredient in the mix of factors that will improve Maine’s economic prospects, we often come at the problem from different angles and develop different methods to improve educational outcomes. In this article, Linda Silka, Karen Hutchins, Meredith Jones, and Chris Rector assert that progress in securing a bright future for Maine requires working together across disciplines and areas of expertise to support education. The authors present nine recommendations for strengthening Maine’s educational systems

    Lessons from the TAPS study - Message handling and appointment systems

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    The Threats to Australian Patient Safety (TAPS) Study collected 648 anonymous reports about threats to patient safety from a representative random sample of Australian general practitioners. These contained any events the GPs felt should not have happened, and would not want to happen again, regardless of who was at fault or the outcome of the event. This series of articles presents clinical lessons resulting from the TAPS study.2 page(s

    Capturing Micro-Expressions on Zoom: A Promising Sales Opportunity

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    The subtleties of salesmanship are changing in this virtual world of online communication. This proof-ofconcept study examines the feasibility of capturing customer images at the two, ten, and thirty-second intervals following a Zoom platform's sales query. A captured image underwent a micro-expression analysis employing a computer-driven program that generates an emotional-algorithm analyzing the emotions of happy, neutral, sad, disgust, fear, surprise, and anger. This algorithm enabled researchers to predict a purchase-decision using proprietary artificial intelligence software. Findings suggest that microexpressions captured at the two-second interval exhibited a significant relationship with a customer's purchase decision. A summary table provides a detailed overview of all results using the acronym [MICRO]

    Revisiting the National Spatial Strategy ten years on

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    International experience suggests that strategic spatial planning has the potential to underpin the delivery of effective public services and enhance the capacity for economic growth at national, regional and subregional levels (Albrechts, 2010). Strategic spatial planning, over the course of the past twenty years, has become increasingly central to social and economic development in many European countries and indeed the EU. Influenced by these developments, the publication of the National Spatial Strategy for Ireland 2002-2020 (NSS) in 2002 provided a response to the growing imbalances in socio-economic development that became increasingly evident during the Celtic tiger period in the late 1990s. The strategy represented a departure from conventional planning in Ireland by taking a more holistic perspective of changing geographies of population, settlement patterns and the distribution of employment opportunities. The implications of these changes led to the proposition of a socio-economic planning model that recognised the importance of the spatial dimension

    Multi-Industry Simplex : A Probabilistic Extension of GICS

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    Accurate industry classification is a critical tool for many asset management applications. While the current industry gold-standard GICS (Global Industry Classification Standard) has proven to be reliable and robust in many settings, it has limitations that cannot be ignored. Fundamentally, GICS is a single-industry model, in which every firm is assigned to exactly one group - regardless of how diversified that firm may be. This approach breaks down for large conglomerates like Amazon, which have risk exposure spread out across multiple sectors. We attempt to overcome these limitations by developing MIS (Multi-Industry Simplex), a probabilistic model that can flexibly assign a firm to as many industries as can be supported by the data. In particular, we utilize topic modeling, an natural language processing approach that utilizes business descriptions to extract and identify corresponding industries. Each identified industry comes with a relevance probability, allowing for high interpretability and easy auditing, circumventing the black-box nature of alternative machine learning approaches. We describe this model in detail and provide two use-cases that are relevant to asset management - thematic portfolios and nearest neighbor identification. While our approach has limitations of its own, we demonstrate the viability of probabilistic industry classification and hope to inspire future research in this field.Comment: 17 pages, 10 figure
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