23,599 research outputs found
The Big Society and the Conjunction of Crises: Justifying Welfare Reform and Undermining Social Housing
The idea of the “Big Society” can be seen as culmination of a long-standing debate about the regulation of welfare. Situating the concept within governance theory, the article considers how the UK coalition government has justified a radical restructuring of welfare provision, and considers its implications for housing provision. Although drawing on earlier modernization processes, the article contends that the genesis for welfare reform was based on an analysis that the government was forced to respond to a unique conjunction of crises: in morality, the state, ideology and economics. The government has therefore embarked upon a programme, which has served to undermine the legitimacy of the social housing sector (most notably in England), with detrimental consequences for residents and raising significant dilemmas for those working in the housing sector
Learning from the World: Good Practices in Navigating Cultural Diversity. Bertelsmann Stiftung Study 2018
The Reinhard Mohn Prize 2018 “Living Diversity – Shaping Society” focuses on diversity
in German society, that is the plurality of cultural, religious and linguistic identities found
among the people who live in the country. With this focus, the RMP 2018 highlights a
variety of successful strategies for living peacefully in diversity. In historical terms, cultural
diversity is nothing new or unique for Germany. In fact, though we are often unaware of
it, cultural diversity has been a feature of our daily life for a long time. Indeed, religious
differences have shaped German society since the Reformation. And Judaism has always
been present in the area we now call Germany
Synonymy and Polysemy in Legal Terminology and Their Applications to Bilingual and Bijural Translation
The paper focuses on synonymy and polysemy in the language of law in English-speaking countries. The introductory part briefly outlines the process of legal translation and tackle the specificity of bijural translation. Then, traditional understanding of what a term is and its application to legal terminology is considered; three different levels of vocabulary used in legal texts are outlined and their relevance to bijural translation explained. Next, synonyms in the language of law are considered with respect to their intension and distribution, and examples are given to show that most expressions or phrases which are interchangeable synonyms in the general language should be treated carefully in legal translation. Finally, polysemes in legal terminology are discussed and examples given to illustrate problems potentially encountered by translators
Face covering as a social practice: The rhetoric of anti-/masking during the COVID-19 pandemic in the Greek digital public sphere
During the COVID-19 pandemic, early public health messages about masking led to public confusion due to conflicting statements, rendering masks a controversial sociopolitical issue. This study employs computer-mediated discourse analysis and tools developed by the discourse-historical approach to explore discourse topics and (anti-/pro-)masking rhetoric patterns in the content of (a) a Greek news video posted on a news site on Facebook, and (b) a corpus of 44 online Facebook comments posted in response to (a). The findings of the study point out that, in the context of the post-truth era, conflicting messages on public health have resulted in politicization of masking and to polarization over socially un-/acceptable behavior. Face covering thus constitutes a sociospatial practice in the process of becoming a form of politic behavior, which is contested among members of Greek society
Algorithms in future capital markets: A survey on AI, ML and associated algorithms in capital markets
This paper reviews Artificial Intelligence (AI), Machine Learning (ML) and associated algorithms in future Capital Markets. New AI algorithms are constantly emerging, with each 'strain' mimicking a new form of human learning, reasoning, knowledge, and decisionmaking. The current main disrupting forms of learning include Deep Learning, Adversarial Learning, Transfer and Meta Learning. Albeit these modes of learning have been in the AI/ML field more than a decade, they now are more applicable due to the availability of data, computing power and infrastructure. These forms of learning have produced new models (e.g., Long Short-Term Memory, Generative Adversarial Networks) and leverage important applications (e.g., Natural Language Processing, Adversarial Examples, Deep Fakes, etc.). These new models and applications will drive changes in future Capital Markets, so it is important to understand their computational strengths and weaknesses. Since ML algorithms effectively self-program and evolve dynamically, financial institutions and regulators are becoming increasingly concerned with ensuring there remains a modicum of human control, focusing on Algorithmic Interpretability/Explainability, Robustness and Legality. For example, the concern is that, in the future, an ecology of trading algorithms across different institutions may 'conspire' and become unintentionally fraudulent (cf. LIBOR) or subject to subversion through compromised datasets (e.g. Microsoft Tay). New and unique forms of systemic risks can emerge, potentially coming from excessive algorithmic complexity. The contribution of this paper is to review AI, ML and associated algorithms, their computational strengths and weaknesses, and discuss their future impact on the Capital Markets
Knowledge development and creation in email
Newly created knowledge is increasingly viewed as a highly valuable source of competitive advantage for business. Email is explored in its recently recognized role as a place of organizational knowledge development and creation, employing discourse analysis of email conversations as the research approach. This paper describes a knowledge development lifecycle derived from the empirical study, and provides insight into the nature of knowledge development and creation in organizations. We found that in selected email conversations, employees naturally and intuitively build purpose driven new knowledge incrementally and iteratively, crystallizing knowledge under construction by submitting it repeatedly to a range of key stakeholders for comment, until a \u27consensus\u27 is reached regarding the outcome. Our findings identify the process of knowledge qualification in organizational knowledge creation, and suggest that organizational knowledge may be politically constructed. The research results have the potential to assist organizations in understanding and facilitating processes and conditions for knowledge creation and development. The study also highlights the potential for email as a key component in a company\u27s formal KM strategy.<br /
Spartan Daily, September 23, 1987
Volume 89, Issue 16https://scholarworks.sjsu.edu/spartandaily/7608/thumbnail.jp
Análisis socio-lingüístico de la carta de derechos y obligaciones de los ciudadanos en los servicios de salud
The aim of this study is to carry out a socio-linguistic analysis of the dissemination of the Charter of Citizens’ Rights and Obligations in Public Health Services. We designed a qualitative investigation using observation and content analysis. A deductive
analysis technique was followed, based on the “SPEAKING” model categories. The data analysis suggests a clear framework of rights
and obligations has been established, but is not very familiar to patients and relatives. We can conclude that despite the widespread
dissemination and publicity of the Citizens’ Charter of Rights and Obligations, we still need the involvement of professionals. Nurses
can develop a fundamental role in this process
In the Battle for Reality: Social Documentaries in the U.S.
Provides an overview of documentaries that address social justice and democracy issues, and includes case studies of successful strategic uses of social documentaries
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