04085nam 2200661 450 991045678160332120200520144314.01-4426-8971-41-4426-8809-210.3138/9781442689718(CKB)2550000000019262(OCoLC)607784369(CaPaEBR)ebrary10381964(SSID)ssj0000478294(PQKBManifestationID)12230794(PQKBTitleCode)TC0000478294(PQKBWorkID)10419253(PQKB)10431495(MiAaPQ)EBC4672719(DE-B1597)465158(OCoLC)1013937436(OCoLC)944176424(DE-B1597)9781442689718(MiAaPQ)EBC3268181(PPN)202011968(Au-PeEL)EBL4672719(CaPaEBR)ebr11258374(OCoLC)958559266(EXLCZ)99255000000001926220160923h20072007 uy 0engurcnu||||||||txtccrFederalism, citizenship, and Quebec debating multinationalism /Alain-G. Gagnon and Raffaele IacovinoToronto, [Ontario] ;Buffalo, [New York] ;London, [England] :University of Toronto Press,2007.©20071 online resource (228 p.)Includes index.0-8020-7711-0 0-8020-9216-0 Frontmatter --Contents --Acknowledgments --1. Introduction: Exploring Multinationalism --2. Historical Foundations and Evolving Constitutional Orders: The Politics of Contestation in Quebec --3. The Federal Principle in Canada: Multifaceted Conceptions of Representation --4. Distinct 'National Models' of Integration: Establishing Contexts of Choice --5. Citizenship and Democracy: Negotiating Membership --6. Contemporary Challenges and the Future of Canada --Notes --IndexCanadians often imagine their country as a multicultural democracy, while a few go further to claim that the country's diversity can be characterized as multinational in its social and institutional make-up. In Federalism, Citizenship, and Quebec, Alain-G. Gagnon and Raffaele Iacovino reveal how this notion has been falsely presented to the populace. Through comprehensive historical, contemporary, and critical accounts, they argue that the country has been the object of an aggressive nationalizing project that contravenes the principles of a 'multinational federation.' Gagnon and Iacovino defend a conception of diverse citizenship for Canada that is truly suitable to a durable and just constitutional association and provide an alternative path for the country based on normative, socio-political, and practical considerations associated with multinational democracy.Including a detailed account of the main challenges associated with Quebec's place in the federation, Federalism, Citizenship, and Quebec stands apart from other English-language studies on multinational democracy, citizenship, and federalism, and, most notably, multinational democracy in Canada. Gagnon and Iacovino ground their work in both history and theory, offering a truly interdisciplinary approach that will appeal to scholars from fields as diverse as Canadian and Quebec politics, comparative politics, and political and legal theory. The book will contribute to awareness of the need for appreciating diversity in contemporary societies while being a useful addition to English Canadian students in these fields, who often lack exposure to many of the rich debates proceeding in Quebec.CitizenshipCanadaCanadaPolitics and governmentElectronic books.Citizenship971Gagnon Alain886775Iacovino RaffaeleMiAaPQMiAaPQMiAaPQBOOK9910456781603321Federalism, citizenship, and Quebec1980446UNINA05222nam 22007815 450 99646559170331620200630023409.03-642-33460-110.1007/978-3-642-33460-3(CKB)3400000000086227(SSID)ssj0000767548(PQKBManifestationID)11513404(PQKBTitleCode)TC0000767548(PQKBWorkID)10758150(PQKB)10350038(DE-He213)978-3-642-33460-3(MiAaPQ)EBC3070471(PPN)168324563(EXLCZ)99340000000008622720120908d2012 u| 0engurnn#008mamaatxtccrMachine Learning and Knowledge Discovery in Databases[electronic resource] European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part I /edited by Peter A. Flach, Tijl De Bie, Nello Cristianini1st ed. 2012.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2012.1 online resource (XXVI, 879 p. 241 illus.)Lecture Notes in Artificial Intelligence ;7523International conference proceedings.3-642-33459-8 Includes bibliographical references and author index.Aassociation rules and frequent patterns -- Bayesian learning and graphical models -- classification -- dimensionality reduction, feature selection and extraction -- distance-based methods and kernels -- ensemble methods -- graph and tree mining -- large-scale, distributed and parallel mining and learning -- multi-relational mining and learning -- multi-task learning -- natural language processing -- online learning and data streams.This two-volume set LNAI 7523 and LNAI 7524 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2012, held in Bristol, UK, in September 2012. The 105 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 443 submissions. The final sections of the proceedings are devoted to Demo and Nectar papers. The Demo track includes 10 papers (from 19 submissions) and the Nectar track includes 4 papers (from 14 submissions). The papers grouped in topical sections on association rules and frequent patterns; Bayesian learning and graphical models; classification; dimensionality reduction, feature selection and extraction; distance-based methods and kernels; ensemble methods; graph and tree mining; large-scale, distributed and parallel mining and learning; multi-relational mining and learning; multi-task learning; natural language processing; online learning and data streams; privacy and security; rankings and recommendations; reinforcement learning and planning; rule mining and subgroup discovery; semi-supervised and transductive learning; sensor data; sequence and string mining; social network mining; spatial and geographical data mining; statistical methods and evaluation; time series and temporal data mining; and transfer learning.Lecture Notes in Artificial Intelligence ;7523Data miningArtificial intelligencePattern recognitionComputer science—MathematicsMathematical statisticsInformation storage and retrievalData Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Pattern Recognitionhttps://scigraph.springernature.com/ontologies/product-market-codes/I2203XDiscrete Mathematics in Computer Sciencehttps://scigraph.springernature.com/ontologies/product-market-codes/I17028Probability and Statistics in Computer Sciencehttps://scigraph.springernature.com/ontologies/product-market-codes/I17036Information Storage and Retrievalhttps://scigraph.springernature.com/ontologies/product-market-codes/I18032Data mining.Artificial intelligence.Pattern recognition.Computer science—Mathematics.Mathematical statistics.Information storage and retrieval.Data Mining and Knowledge Discovery.Artificial Intelligence.Pattern Recognition.Discrete Mathematics in Computer Science.Probability and Statistics in Computer Science.Information Storage and Retrieval.006.312Flach Peter Aedthttp://id.loc.gov/vocabulary/relators/edtDe Bie Tijledthttp://id.loc.gov/vocabulary/relators/edtCristianini Nelloedthttp://id.loc.gov/vocabulary/relators/edtBOOK996465591703316Machine Learning and Knowledge Discovery in Databases773712UNISA