3,535 research outputs found

    Democratising migration governance : temporary labour migration and the responsibility to represent

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    Defence date: 20 January 2020Examining Board: Professor Rainer Bauböck, European University Institute (Supervisor); Professor Richard Bellamy, European University Institute Professor; Iseult Honohan, University College Dublin; Professor Valeria Ottonelli, UniversitĂ  degli Studi di GenovaThis thesis explores the possibility of democratic citizenship of temporary migrants. The main problem I investigate is the persistent and systemic vulnerability of temporary migrants to domination. I argue temporary migrants’ vulnerability to domination stems primarily from the fact that responsibilities towards them and their political membership are divided between their country of residence and of origin. While their lives are conditioned by both countries, they are democratically isolated from both. Are they merely partial citizens detached from any democratic politics? If not, what responsibility should each country bear towards temporary migrants within and beyond their jurisdictions? Should our commitments to democracy lead us to endorse a radical conception of migrant citizenship through which migrants represent their interests and perspectives in-between their country of residence and origin? This thesis addresses these normative issues surrounding temporary labour migration. It develops a democratic theory applicable to this phenomenon, explores the moral and political basis of migrants’ freedom, and explains how the current arrangements might be changed to produce a more democratically just outcome. Its main contribution lies in establishing a new account of democratic citizenship and responsibility that coherently accommodates the political agencies of temporary migrants. The thesis introduces, in particular, a new normative concept and political agenda – the Responsibility to Represent (R2R). Under a system of R2R, both sending and receiving countries bear a shared obligation to stage migrants’ contestatory voices in their public policy-making process for creating a society where everyone is free from domination. In summary, I argue that temporary migration programmes are just and legitimate, if and only if both sending and receiving states (1) recognise temporary migrants as bearers of a distinct life plan deserving equal treatment and non-domination, (2) provide them with necessary protections and sufficient resources for carrying out their plans while accommodating their possible changes, and (3) institutionalise contestatory channels for them to (de)legitimise the current structure of responsibility in-between two states

    Redefining Disproportionate Arrest Rates: An Exploratory Quasi-Experiment that Reassesses the Role of Skin Tone

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    The New York Times reported that Black Lives Matter was the third most-read subject of 2020. These articles brought to the forefront the question of disparity in arrest rates for darker-skinned people. Questioning arrest disparity is understandable because virtually everything known about disproportionate arrest rates has been a guess, and virtually all prior research on disproportionate arrest rates is questionable because of improper benchmarking (the denominator effect). Current research has highlighted the need to switch from demographic data to skin tone data and start over on disproportionate arrest rate research; therefore, this study explored the relationship between skin tone and disproportionate arrest rates. This study also sought to determine which of the three theories surrounding disproportionate arrests is most predictive of disproportionate rates. The current theories are that disproportionate arrests increase as skin tone gets darker (stereotype threat theory), disproportionate rates are different for Black and Brown people (self-categorization theory), or disproportionate rates apply equally across all darker skin colors (social dominance theory). This study used a quantitative exploratory quasi-experimental design using linear spline regression to analyze arrest rates in Alachua County, Florida, before and after the county’s mandate to reduce arrests as much as possible during the COVID-19 pandemic to protect the prison population. The study was exploratory as no previous study has used skin tone analysis to examine arrest disparity. The findings of this study redefines the understanding of the existence and nature of disparities in arrest rates and offer a solid foundation for additional studies about the relationship between disproportionate arrest rates and skin color

    LIPIcs, Volume 251, ITCS 2023, Complete Volume

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    LIPIcs, Volume 251, ITCS 2023, Complete Volum

    Software Design Change Artifacts Generation through Software Architectural Change Detection and Categorisation

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    Software is solely designed, implemented, tested, and inspected by expert people, unlike other engineering projects where they are mostly implemented by workers (non-experts) after designing by engineers. Researchers and practitioners have linked software bugs, security holes, problematic integration of changes, complex-to-understand codebase, unwarranted mental pressure, and so on in software development and maintenance to inconsistent and complex design and a lack of ways to easily understand what is going on and what to plan in a software system. The unavailability of proper information and insights needed by the development teams to make good decisions makes these challenges worse. Therefore, software design documents and other insightful information extraction are essential to reduce the above mentioned anomalies. Moreover, architectural design artifacts extraction is required to create the developer’s profile to be available to the market for many crucial scenarios. To that end, architectural change detection, categorization, and change description generation are crucial because they are the primary artifacts to trace other software artifacts. However, it is not feasible for humans to analyze all the changes for a single release for detecting change and impact because it is time-consuming, laborious, costly, and inconsistent. In this thesis, we conduct six studies considering the mentioned challenges to automate the architectural change information extraction and document generation that could potentially assist the development and maintenance teams. In particular, (1) we detect architectural changes using lightweight techniques leveraging textual and codebase properties, (2) categorize them considering intelligent perspectives, and (3) generate design change documents by exploiting precise contexts of components’ relations and change purposes which were previously unexplored. Our experiment using 4000+ architectural change samples and 200+ design change documents suggests that our proposed approaches are promising in accuracy and scalability to deploy frequently. Our proposed change detection approach can detect up to 100% of the architectural change instances (and is very scalable). On the other hand, our proposed change classifier’s F1 score is 70%, which is promising given the challenges. Finally, our proposed system can produce descriptive design change artifacts with 75% significance. Since most of our studies are foundational, our approaches and prepared datasets can be used as baselines for advancing research in design change information extraction and documentation

    Talking about personal recovery in bipolar disorder: Integrating health research, natural language processing, and corpus linguistics to analyse peer online support forum posts

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    Background: Personal recovery, ‘living a satisfying, hopeful and contributing lifeeven with the limitations caused by the illness’ (Anthony, 1993) is of particular value in bipolar disorder where symptoms often persist despite treatment. So far, personal recovery has only been studied in researcher-constructed environments (interviews, focus groups). Support forum posts can serve as a complementary naturalistic data source. Objective: The overarching aim of this thesis was to study personal recovery experiences that people living with bipolar disorder have shared in online support forums through integrating health research, NLP, and corpus linguistics in a mixed methods approach within a pragmatic research paradigm, while considering ethical issues and involving people with lived experience. Methods: This mixed-methods study analysed: 1) previous qualitative evidence on personal recovery in bipolar disorder from interviews and focus groups 2) who self-reports a bipolar disorder diagnosis on the online discussion platform Reddit 3) the relationship of mood and posting in mental health-specific Reddit forums (subreddits) 4) discussions of personal recovery in bipolar disorder subreddits. Results: A systematic review of qualitative evidence resulted in the first framework for personal recovery in bipolar disorder, POETIC (Purpose & meaning, Optimism & hope, Empowerment, Tensions, Identity, Connectedness). Mainly young or middle-aged US-based adults self-report a bipolar disorder diagnosis on Reddit. Of these, those experiencing more intense emotions appear to be more likely to post in mental health support subreddits. Their personal recovery-related discussions in bipolar disorder subreddits primarily focussed on three domains: Purpose & meaning (particularly reproductive decisions, work), Connectedness (romantic relationships, social support), Empowerment (self-management, personal responsibility). Support forum data highlighted personal recovery issues that exclusively or more frequently came up online compared to previous evidence from interviews and focus groups. Conclusion: This project is the first to analyse non-reactive data on personal recovery in bipolar disorder. Indicating the key areas that people focus on in personal recovery when posting freely and the language they use provides a helpful starting point for formal and informal carers to understand the concerns of people diagnosed with bipolar disorder and to consider how best to offer support

    Fuzzy Natural Logic in IFSA-EUSFLAT 2021

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    The present book contains five papers accepted and published in the Special Issue, “Fuzzy Natural Logic in IFSA-EUSFLAT 2021”, of the journal Mathematics (MDPI). These papers are extended versions of the contributions presented in the conference “The 19th World Congress of the International Fuzzy Systems Association and the 12th Conference of the European Society for Fuzzy Logic and Technology jointly with the AGOP, IJCRS, and FQAS conferences”, which took place in Bratislava (Slovakia) from September 19 to September 24, 2021. Fuzzy Natural Logic (FNL) is a system of mathematical fuzzy logic theories that enables us to model natural language terms and rules while accounting for their inherent vagueness and allows us to reason and argue using the tools developed in them. FNL includes, among others, the theory of evaluative linguistic expressions (e.g., small, very large, etc.), the theory of fuzzy and intermediate quantifiers (e.g., most, few, many, etc.), and the theory of fuzzy/linguistic IF–THEN rules and logical inference. The papers in this Special Issue use the various aspects and concepts of FNL mentioned above and apply them to a wide range of problems both theoretically and practically oriented. This book will be of interest for researchers working in the areas of fuzzy logic, applied linguistics, generalized quantifiers, and their applications

    Frivolous Floodgate Fears

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    When rejecting plaintiff-friendly liability standards, courts often cite a fear of opening the floodgates of litigation. Namely, courts point to either a desire to protect the docket of federal courts or a burden on the executive branch. But there is little empirical evidence exploring whether the adoption of a stricter standard can, in fact, decrease the filing of legal claims in this circumstance. This Article empirically analyzes and theoretically models the effect of adopting arguably stricter liability standards on litigation by investigating the context of one of the Supreme Court’s most recent reliances on this argument when adopting a stricter liability standard for causation in employment discrimination claims. In 2013, the Supreme Court held that a plaintiff proving retaliation under Title VII of the Civil Rights Act must prove that their participation in a protected activity was a but-for cause of the adverse employment action they experienced. Rejecting the arguably more plaintiff-friendly motivating-factor standard, the Court stated, “[L]essening the causation standard could also contribute to the filing of frivolous claims, which would siphon resources from efforts by employer[s], administrative agencies, and courts to combat workplace harassment.” Univ. of Tex. Sw. Med. Ctr. v. Nassar, 570 U.S. 338, 358 (2013). And over the past ten years, the Court has overturned the application of motivating-factor causation as applied to at least four different federal antidiscrimination statutes. Contrary to the Supreme Court’s concern that motivating-factor causation encourages frivolous charges, many employment law scholars worry that the heightened but-for standard will deter legitimate claims. This Article empirically explores these concerns, in part using data received from the Equal Employment Opportunity Commission (EEOC) through a Freedom of Information Act (FOIA) request. Specifically, it empirically tests whether the adoption of the but-for causation standard for claims filed under the Age Discrimination in Employment Act and by federal courts of appeals under the Americans with Disabilities Act has impacted the filing of discrimination claims and the outcome of those claims in federal court. Consistent with theory detailed in this Article, the empirical analysis provides evidence that the stricter standard may have increased the docket of the federal courts by decreasing settlement within the EEOC and during litigation. The empirical results weigh in on concerns surrounding the adoption of the but-for causation standard and provide evidence that the floodgates argument, when relied on to deter frivolous filings by changing liability standards, in fact, may do just the opposite by decreasing the likelihood of settlement in the short term, without impacting the filing of claims or other case outcomes
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