801 resultados para Sociology of Law
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Montage of photos of FIU Law Students on display before the start of the College of Law Commencement Ceremony, May 2011. Event held at US Century Bank Arena
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Peer reviewed
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This paper is a constructivist attempt to understand a global political space where states as actors (the traditional domain of international relations theory and international law) are joined by international organizations, firms, NGOs, and others. Today we know that many supposedly private or international orders (meaning sources of order other than the central institutions of the territorial state) are engaged in the regulation of large domains of collective life in a world where the sources of power are multiple, sovereignties are overlapping, and anarchy is meaningless. The paper begins with an attempt, discussed in the first section, to sort out what the rule of law might mean in the context of the WTO, where we soon see that it can only be understood by also considering the meaning of Administrative Law. Much of the debate about rule of law depends on positivist and centralist theories of “law,” whose inadequacy for my purposes leads, in the second section, to a discussion of legal pluralism and implicit law in legal theory. These approaches offer an alternative theoretical framework that respects the role of the state while not seeing it as the only source of normativity. The third section looks directly at WTO law and dispute settlement. I tr y to show that the sources and interpretations of law in the WTO and the trading system cannot be reduced to the Dispute Settlement Body. I conclude in the fourth section with some suggestions on how a WTO rule of law could be understood as democratic.
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Default invariance is the idea that default does not change at any scale of law and finance. Default is a conserved quantity in a universe where fundamental principles of law and finance operate. It exists at the micro-level as part of the fundamental structure of every financial transaction, and at the macro- level, as a fixed critical point within the relatively stable phases of the law and finance cycle. A key point is that default is equivalent to maximizing uncertainty at the micro-level and at the macro-level, is equivalent to the phase transition where unbearable fluctuations occur in all forms of risk transformation, including maturity, liquidity and credit. As such, default invariance is the glue that links the micro and macro structures of law and finance. In this essay, we apply naïve category theory (NCT), a type of mapping logic, to these types of phenomena. The purpose of using NCT is to introduce a rigorous (but simple) mathematical methodology to law and finance discourse and to show that these types of structural considerations are of prime practical importance and significance to law and finance practitioners. These mappings imply a number of novel areas of investigation. From the micro- structure, three macro-approximations are implied. These approximations form the core analytical framework which we will use to examine the phenomena and hypothesize rules governing law and finance. Our observations from these approximations are grouped into five findings. While the entirety of the five findings can be encapsulated by the three approximations, since the intended audience of this paper is the non-specialist in law, finance and category theory, for ease of access we will illustrate the use of the mappings with relatively common concepts drawn from law and finance, focusing especially on financial contracts, derivatives, Shadow Banking, credit rating agencies and credit crises.
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The connection between law and (imaginative) literature can still affect surprisingly. The theme of the present article is to summarize some of the basic features of the movement, which is called „Law and Literature” and to suggest some starting-points with which it is associated. These starting points include, for instance linguistic conception of law, narratology in law or the relations between law and culture. The article offers an overview of the classical approaches connecting law and literature and mentions the reasons for this connection: e.g. cultivation of law and lawyers, improvement of judicial decisions or improvement of legal interpretation. Some of the findings resulting from the joint of law and literature can be used in practice and goes beyond „mere” theory. The article is to be seen as an introduction to the movement of „Law and Literature”, presentation of ideas on which this movement is based and offering the possibility of its further development.
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This project aims to clarify the importance of acquiring cross-disciplinary competencies in the Law and Criminology degrees, specifically entrepreneurial capability in order to further students' comprehensive training and complete preparation for the legal and professional sector, thereby fostering students' greater involvement in the development of such competencies.
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FinTech (financial technology, ‘‘FinTech’’) is a double-edged sword as it brings both benefits and risks. This study appraised FinTech’s technological nature that brings changes in complexity in modern financial markets to identify the information deficits and its undesirable outcomes. Besides, as FinTech is still developing, the information regarding, for instance, whether and how to apply regulation may be insufficient for both regulators and those regulated. More one-size-fits-all regulation might accordingly be adopted, thereby resulting in the adverse selection. Through the lens of both law and economics and law and technology, this study suggested AFR (adaptive financial regulation, ‘‘AFR’’) of FinTech to solve the underlying pacing issue. AFR is dynamic, enabling regulatory adjustments and learning. Exploring and collecting information through experiments and learning from experiments are the core of AFR. FinTech regulatory sandboxes epitomize AFR. This study chose Taiwan as a case study. This study found several barriers to adaptive and effective FinTech regulation. Unduly emphasizing consumer protection and the innovation entry criterion by improperly imposing limits on the entry into sandboxes, ignoring post-sandbox mechanisms, and relying on detailed, specific and prescriptive rules to formulate sandboxes are examples. To solve these barriers, this study proposed several solutions by looking into the experiences in other jurisdictions and analyzing. First, striking a balance between encouraging innovation and ensuring financial stability and consumer protection is indispensable. Second, entry to sandboxes should be facilitated by improving the selection criteria. Third, adhering to realizing regulatory adjustment and learning to adapt regulation to technology, this study argued that systematic post-sandbox mechanisms should be established. Fourth, this study recommended “more principles-based sandboxes”. Principles rather than rules should be the base on which sandboxes or FinTech regulation are established. Having principles could provide more flexibility, being easier to adjust and adapt, and better at avoiding.
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Artificial Intelligence (AI) is gaining ever more ground in every sphere of human life, to the point that it is now even used to pass sentences in courts. The use of AI in the field of Law is however deemed quite controversial, as it could provide more objectivity yet entail an abuse of power as well, given that bias in algorithms behind AI may cause lack of accuracy. As a product of AI, machine translation is being increasingly used in the field of Law too in order to translate laws, judgements, contracts, etc. between different languages and different legal systems. In the legal setting of Company Law, accuracy of the content and suitability of terminology play a crucial role within a translation task, as any addition or omission of content or mistranslation of terms could entail legal consequences for companies. The purpose of the present study is to first assess which neural machine translation system between DeepL and ModernMT produces a more suitable translation from Italian into German of the atto costitutivo of an Italian s.r.l. in terms of accuracy of the content and correctness of terminology, and then to assess which translation proves to be closer to a human reference translation. In order to achieve the above-mentioned aims, two human and automatic evaluations are carried out based on the MQM taxonomy and the BLEU metric. Results of both evaluations show an overall better performance delivered by ModernMT in terms of content accuracy, suitability of terminology, and closeness to a human translation. As emerged from the MQM-based evaluation, its accuracy and terminology errors account for just 8.43% (as opposed to DeepL’s 9.22%), while it obtains an overall BLEU score of 29.14 (against DeepL’s 27.02). The overall performances however show that machines still face barriers in overcoming semantic complexity, tackling polysemy, and choosing domain-specific terminology, which suggests that the discrepancy with human translation may still be remarkable.
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Kirjallisuusarvostelu
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Un résumé en anglais est également disponible.