LEADER 03847nam 22006975 450 001 9910523788403321 005 20230810173329.0 010 $a9783030796686 010 $a303079668X 024 7 $a10.1007/978-3-030-79668-6 035 $a(CKB)4950000000280405 035 $a(MiAaPQ)EBC6788063 035 $a(Au-PeEL)EBL6788063 035 $a(OCoLC)1285172488 035 $a(DE-He213)978-3-030-79668-6 035 $a(EXLCZ)994950000000280405 100 $a20211020d2022 u| 0 101 0 $aeng 135 $aur|nu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMarxism and the Origins of International Relations $eA Hidden History /$fby José Ricardo Villanueva Lira 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Palgrave Macmillan,$d2022. 215 $a1 online resource (184 pages) 225 1 $aThe Palgrave Macmillan History of International Thought,$x2634-5226 311 08$a9783030796679 311 08$a3030796671 320 $aIncludes bibliographical references and index. 327 $aChapter 1: Introduction -- Chapter 2: The Benchmark Thinkers' Impact on IR -- Chapter 3: Political Thought and Marxism -- Chapter 4: The Marxian Imprint on Early IR's Understandings of Imperialism -- Chapter 5: A Distinctive and Overlooked Socialist IR Tradition -- Chapter 6: Norman Angell and the Real First Great Debate -- Chapter 7: Conclusions. 330 $aThis book investigates to what extent and in what ways Marxist writings and precepts on imperialism informed the so-called idealist stage of International Relations (IR). Though the formative years of International Relations coincide with a vibrant period in Marxist political thought, Marxism is strikingly absent from the historiography of the discipline. Building on the work of revisionist scholars, the book reconstructs the writings of five benchmark IR thinkers. Villanueva analyzes the cases of John Hobson, Henry Brailsford, Leonard Woolf, Harold Laski and Norman Angell to explore the influence that Marxism played in their thinking, and in the "idealist years" of the discipline more generally. He ultimately demonstrates that, although Marxist thought has been neglected by mainstream IR disciplinary historians, it played a significant role in the discipline's early development. As such, this book both challenges the exclusion of Marxist thought from the mainstream disciplinary histories of IR and contributes to a deeper understanding of the role it played in early 20th century IR theory. Jose Ricardo Villanueva Lira is Lecturer and Head of Department at the Institute of International Studies, Universidad del Mar, Mexico. 410 0$aThe Palgrave Macmillan History of International Thought,$x2634-5226 606 $aInternational relations 606 $aMarxian school of sociology 606 $aIntellectual life$xHistory 606 $aWorld politics 606 $aInternational Relations 606 $aInternational Relations Theory 606 $aMarxist Sociology 606 $aIntellectual History 606 $aPolitical History 615 0$aInternational relations. 615 0$aMarxian school of sociology. 615 0$aIntellectual life$xHistory. 615 0$aWorld politics. 615 14$aInternational Relations. 615 24$aInternational Relations Theory. 615 24$aMarxist Sociology. 615 24$aIntellectual History. 615 24$aPolitical History. 676 $a327.101 676 $a327.101 700 $aVillanueva Lira$b Jose? Ricardo$01078788 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910523788403321 996 $aMarxism and the Origins of International Relations$92591226 997 $aUNINA LEADER 08320nam 22007095 450 001 9910484222503321 005 20251113174951.0 010 $a3-030-75765-X 024 7 $a10.1007/978-3-030-75765-6 035 $a(CKB)4100000011918703 035 $a(DE-He213)978-3-030-75765-6 035 $a(MiAaPQ)EBC6607519 035 $a(Au-PeEL)EBL6607519 035 $a(OCoLC)1250275609 035 $a(PPN)255881436 035 $a(EXLCZ)994100000011918703 100 $a20210507d2021 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Knowledge Discovery and Data Mining $e25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11?14, 2021, Proceedings, Part II /$fedited by Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (XXVI, 774 p. 30 illus.) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v12713 311 08$a3-030-75764-1 327 $aClassical Data Mining,. Mining Frequent Patterns from Hypergraph Databases -- Discriminating Frequent Pattern based Supervised Graph Embedding for Classification -- Mining Sequential Patterns in Uncertain Databases Using Hierarchical Index Structure -- Similarity Forest Revisited: a Swiss Army Knife for Machine Learning -- Discriminative Representation Learning for Cross-domain Sentiment Classification -- SAGCN: Towards Structure-Aware Deep Graph Convolutional Networks on Node Classification -- Hierarchical Learning of Dependent Concepts for Human Activity Recognition -- Improving Short Text Classification Using Context-Sensitive Representations and Content-Aware Extended Topic Knowledge -- A Novel Method for Offline Handwritten Chinese Character Recognition under the Guidance of Print -- Upgraded Attention-based Local FeatureLearning Block for speech emotion recognition -- Memorization in Deep Neural Networks: Does the Loss Function matter -- Gaussian Soft Decision Trees for Interpretable Feature-Based Classification -- Efficient Nodes Representation Learning with Residual Feature Propagation -- Progressive AutoSpeech: An efficient and general framework for automatic speech classification -- CrowdTeacher: Robust Co-teaching with Noisy Answers & Sample-specific Perturbations for Tabular Data -- Effective and Adaptive Multi-metric Refined Similarity Graph Fusion for Multi-view Clustering -- aHCQ: Adaptive Hierarchical Clustering based Quantization Framework for Deep Neural Networks -- Maintaining Consistency with Constraints: a Constrained Deep Clustering method -- Data Mining Theory and Principles -- Towards multi-label Feature selection by Instance and Label Selections -- FARF: A Fair and Adaptive Random Forests Classifier -- Sparse Spectrum Gaussian Process for Bayesian Optimization -- Densely Connected Graph Attention Network based on Iterative Path Reasoning for Document-level Relation Extraction -- Causal Inference Using Global Forecasting Models for Counterfactual Prediction. -CED-BGFN: Chinese Event Detection via Bidirectional Glyph-aware Dynamic Fusion Network -- Learning Finite Automata with Shuffle -- Active Learning based Similarity Filtering for Efficient and Effective Record Linkage -- Stratified Sampling for Extreme Multi-Label Data -- Vertical Federated Learning for Higher-order Factorization Machines -- dK-Projection: Publishing Graph Joint degree distribution with Node Differential Privacy -- Recommender Systems -- Improving Sequential Recommendation with Attribute-augmented Graph Neural Networks -- Exploring Implicit Relationships in Social Network for Recommendation Systems -- Transferable Contextual Bandits with Prior Observations -- Modeling Hierarchical Intents and Selective Current Interest for Session-based Recommendation -- A Finetuned language model for Recommending cQA-QAs for enriching Textbooks -- XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction -- Learning Multiclass Classifier Under Noisy Bandit Feedback -- Diversify orNot: Dynamic Diversification for Personalized Recommendation -- Multi-criteria and Review-based Overall Rating Prediction -- W2FM: The Doubly-Warped Factorization Machine -- Causal Combinatorial Factorization Machines for Set-wise Recommendation -- Transformer-based Multi-task Learning for Queuing Time Aware Next POI Recommendation -- Joint Modeling Dynamic Preferences of Users and Items Using Reviews for Sequential Recommendation -- Box4Rec: Box Embedding for Sequential Recommendation -- UKIRF: An Item Rejection Framework for Improving Negative Items Sampling in One-Class Collaborative Filtering -- IACN: Influence-aware and Attention-based Co-evolutionary Network for Recommendation -- Nonlinear Matrix Factorization via Neighbor Embedding -- Deconfounding representation learning based on user interactions in Recommendation Systems -- Personalized Regularization Learning for Fairer Matrix Factorization -- Instance Selection for Online Updating in Dynamic Recommender Environments -- Text Analytics.-Fusing Essential Knowledge for Text-Based Open-Domain Question Answering. - TSSE-DMM: Topic Modeling for Short Texts based on Topic Subdivision and Semantic Enhancement -- SILVER: Generating Persuasive Chinese Product Pitch -- Capturing SQL Query Overlapping via SubtreeCopy for Cross-domain Context-dependent SQLGeneration -- HScodeNet: Combining Hierarchical Sequential and Global Spatial Information of Text for Commodity HS Code Classification -- PLVCG: A Pretraining Based Model for Live Video Comment Generation -- Inducing Rich Interaction Structures between Words for Document-level Event Argument Extraction -- Exploiting Relevant Hyperlinks in Knowledge Base for Entity Linking -- TANTP: Conversational Emotion Recognition Using Tree-Based Attention Networks with Transformer Pre-training -- Semantic-syntax Cascade Injection Model for Aspect Sentiment Triple Extraction -- Modeling Inter-Aspect Relationship with Conjunction for Aspect-based Sentiment Analysis. 330 $aThe 3-volume set LNAI 12712-12714 constitutes the proceedings of the 25th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2021, which was held during May 11-14, 2021. The 157 papers included in the proceedings were carefully reviewed and selected from a total of 628 submissions. They were organized in topical sections as follows: Part I: Applications of knowledge discovery and data mining of specialized data; Part II: Classical data mining; data mining theory and principles; recommender systems; and text analytics; Part III: Representation learning and embedding, and learning from data. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v12713 606 $aArtificial intelligence 606 $aSocial sciences$xData processing 606 $aEducation$xData processing 606 $aApplication software 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aArtificial Intelligence 606 $aComputer Application in Social and Behavioral Sciences 606 $aComputers and Education 606 $aComputer and Information Systems Applications 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 615 0$aArtificial intelligence. 615 0$aSocial sciences$xData processing. 615 0$aEducation$xData processing. 615 0$aApplication software. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 14$aArtificial Intelligence. 615 24$aComputer Application in Social and Behavioral Sciences. 615 24$aComputers and Education. 615 24$aComputer and Information Systems Applications. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 676 $a006.3 702 $aKamalakar$b Karlapalem 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484222503321 996 $aAdvances in Knowledge Discovery and Data Mining$9772012 997 $aUNINA