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Record Nr. |
UNINA9910958074503321 |
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Titolo |
Disability and disadvantage / / edited by Kimberley Brownlee and Adam Cureton |
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Pubbl/distr/stampa |
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Oxford ; ; New York, : Oxford University Press, 2009 |
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ISBN |
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9786612336584 |
9780191569968 |
0191569968 |
9780191809804 |
0191809802 |
9781282336582 |
1282336584 |
9780199698417 |
0199698414 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (xiv, 391 pages) |
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Disciplina |
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Soggetti |
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People with disabilities |
Sociology of disability |
Disabilities |
Social justice |
Public welfare |
Persons with Disabilities |
Social Theory |
Social Justice |
Sociology |
Conference papers and proceedings. |
Congress |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Assembly of philosophers who contributed to this collection, which is the product of two workshops held at the University of Manchester in May 2007 and the University of North Carolina at Chapel Hill in September 2007. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Intro -- Contents -- Abbreviations -- Notes on Contributors -- Introduction -- 1 The Welfarist Account of Disability -- 1.1. The Everyday Concept -- 1.2. The Species Norm Account -- 1.3. 'Germans' and 'Krauts' -- 1.4. The Social Model Account -- 1.5. The Welfarist Account -- 1.6. The Relation of the Welfarist Account to the Everyday Concept of Disability -- 1.7. The Relation of the Welfarist Account to the Social and Species-Norm Views -- 1.8. Well-being, Social Arrangements, and the Social Model -- 1.9. Objections to the Welfarist Account -- 1.10. Well-being, Disability, and Ability -- 1.11. The Welfarist Account at Work -- 1.12. Conclusion -- 2 Disability, Adaptation, and Inclusion -- 2.1. Introduction -- 2.2. Brain Injury, Impairment, and Adaptation: Two Cases -- 2.3. Health State Evaluations and the Standard Story -- 2.4. Implications for Conceptualizing Disability -- 2.5. Implications for Advocacy -- References -- 3 Vagaries of the Natural Lottery? Human Diversity, Disability, and Justice: A Capability Perspective -- 3.1. Introduction -- 3.2. Human Diversity, Normality, and Difference in the Social Model of Disability -- 3.3. A Capability Perspective on Impairment and Disability -- 3.4. Justifying the Capability Perspective on Impairment and Disability -- References -- 4 Disability among Equals -- 4.1. Egalitarian Thought and Disability Policy -- 4.2. The Good Society -- 4.3. Creating Opportunities and Remedying Disadvantage -- 4.4. The Nature of Disability -- 4.5. Choice of Strategies of Reasons for Personal Enhancement -- 4.6. Reasons for Status Enhancement -- 4.7. Disability and Social Policy -- 4.8. Anti-Discrimination -- 4.9. Conclusion -- References -- 5 An Inclusive Contractualism: Obligations to the Mentally Disabled -- 5.1. The Exclusion of the Mentally Disabled -- 5.2. The Nature of Contractualist Cooperation. |
5.3. From Fair Cooperation to Membership in Society -- 5.4. Cooperation and the Mentally Disabled -- 5.5. Conclusion -- 6 No Talent? Beyond the Worst Off! A Diverse Theory of Justice for Disability -- 6.1. Outlying -- 6.2. The Dilemma -- 6.3. Three Strategies for Justice -- 6.4. Justice for Talent -- 6.5. Conclusion -- 7 Understanding Autonomy in Light of Intellectual Disability -- 7.1. Autonomy Attributes -- 7.2. Autonomy as Descriptive and Normative, not Metaphysical -- 7.3. Being a Subject of Justice -- 7.4. Autonomy and Responsibility -- 7.5. Summary -- 8 Respect without Reason: Relating to Alzheimer's -- 8.1. Patients with Mid-Stage Alzheimer's -- 8.2. Relating to Alzheimer's Patients and Relating to Pets -- 8.3. Identity and Advance Directives -- 8.4. Autonomy and Critical Interests -- 8.5. Autonomy and the Capacity to Value -- 8.6. Valuing, Memory, and a Normative Conception of Oneself -- 8.7. Respecting Human Beings -- 9 Radical Cognitive Limitation -- 9.1. The Radically Cognitively Limited -- 9.2. Are Cognitively Limited Human Beings Disabled? -- 9.3. Misfortune as a Matter of Species Membership -- 9.4. Equality and Priority -- 10 Disability, Discrimination, and Irrelevant Goods -- 10.1. General Background to Fairness and Outcome -- 10.2. QALYs and DALYs -- 10.3. The Principle of Irrelevant Goods -- 10.4. Larger Disabilities and the Principles of Irrelevant Goods and Treatment Aim -- 10.5. More Grounds for not Ignoring Disabilities When Allocating Scarce Resources -- 10.6. The Causative Principle -- 10.7. Treatment Aim Principle Modified -- 10.8. Intrapersonal Quality/Quantity Tradeoffs -- 10.9. Problems for the Causative Principle -- 10.10. The Principle of Irrelevant Identity -- 10.11. Causal and Component Role of Identity in Relation to the Principle of Irrelevant Identity Once Again. |
10.12. Views of Discrimination and a Decision Procedure -- 10.13. Intransitivities -- 10.14. The Supererogation Argument -- 11 Ethical Constraints on Allowing or Causing the Existence of People with |
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Disabilities -- 11.1. The Ideal of Unconditional Welcome -- 11.2. Allowing and Causing Impairment and the Ideal of Unconditional Welcome -- 11.3. Justifying Unavoidable Impairments -- 11.4. Tension between Unconditional Welcome and Justification -- 11.5. An Additional Challenge for Justified Selectivity -- 11.6. An Additional Challenge for Unconditional Welcome -- 11.7. Conclusion -- 12 Impairment, Flourishing, and the Moral Nature of Parenthood -- 12.1. A Virtue-Based Approach to Reproductive Ethics -- 12.2. A Case of Selecting for Impairment -- 12.3. Two Understandings of the Characteristics Compatible with a Child's Flourishing -- 12.4. Implications Beyond Selection for Impairment -- 12.5. Conclusion -- 13 Projected Disability and Parental Responsibilities -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- Z. |
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Sommario/riassunto |
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This book offers a much-needed investigation of moral and political issues concerning disability, in the context of the experiences of people with disabilities. Thirteen new essays examine such topics as the concept of disability, the conditions of justice, the nature of autonomy, healthcare distribution, and reproductive choices. |
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2. |
Record Nr. |
UNINA9910698651703321 |
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Titolo |
Neural Information Processing : 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part IV / / edited by Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (XXXV, 707 p. 203 illus., 176 illus. in color.) |
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Collana |
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Communications in Computer and Information Science, , 1865-0937 ; ; 1791 |
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Disciplina |
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Soggetti |
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Pattern recognition systems |
Computer science |
Artificial intelligence |
Data mining |
Data structures (Computer science) |
Information theory |
Automated Pattern Recognition |
Theory and Algorithms for Application Domains |
Artificial Intelligence |
Data Mining and Knowledge Discovery |
Data Structures and Information Theory |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Theory and Algorithms -- Knowledge Transfer from Situation Evaluation to Multi-agent Reinforcement Learning -- Sequential three-way rules class-overlap under-sampling based on fuzzy hierarchical subspace for imbalanced data -- Two-stage Multilayer Perceptron Hawkes Process -- The Context Hierarchical Contrastive Learning for Time Series in Frequency Domain -- Hawkes Process via Graph Contrastive Discriminant representation Learning and Transformer capturing long-term dependencies -- A Temporal Consistency |
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Enhancement Algorithm Based On Pixel Flicker Correction -- Data representation and clustering with double low-rank constraints -- RoMA: a Method for Neural Network Robustness Measurement and Assessment -- Independent Relationship Detection for Real-Time Scene Graph Generation -- A multi-label feature selection method based on feature graph with ridge regression and eigenvector centrality -- O3GPT: A Guidance-Oriented Periodic Testing Framework with Online Learning, Online Testing,and Online Feedback -- AFFSRN: Attention-Based Feature Fusion Super-Resolution Network -- Temporal-Sequential Learning with Columnar-Structured Spiking Neural Networks -- Graph Attention Transformer Network for Robust Visual Tracking -- GCL-KGE:Graph Contrastive Learning for Knowledge Graph Embedding -- Towards a Unified Benchmark for Reinforcement Learning in Sparse Reward Environments -- Effect of Logistic Activation Function and Multiplicative Input Noise on DNN-kWTA model -- A High-Speed SSVEP-Based Speller Using Continuous Spelling Method -- AAT: Non-Local Networks for Sim-to-Real Adversarial Augmentation Transfer -- Aggregating Intra-class and Inter-class information for Multi-label Text Classification -- Fast estimation of multidimensional regression functions by the Parzen kernel-based method -- ReGAE: Graph autoencoder based on recursive neural networks -- Efficient Uncertainty Quantification for Under-constraint Prediction following Learning using MCMC -- SMART: A Robustness Evaluation Framework for Neural Networks -- Time-aware Quaternion Convolutional Network for Temporal Knowledge Graph Reasoning -- SumBART - An improved BART model for abstractive text summarization -- Saliency-Guided Learned Image Compression for Object Detection -- Multi-Label Learning with Data Self-Augmentation -- MnRec: A News Recommendation Fusion Model Combining Multi-granularity Information -- Infinite Label Selection Method for Mutil-label Classification -- Simultaneous Perturbation Method for Multi-Task Weight Optimization in One-Shot Meta-Learning -- Searching for Textual Adversarial Examples with Learned Strategy -- Multivariate Time Series Retrieval with Binary Coding from Transformer. -Learning TSP Combinatorial Search and Optimization with Heuristic Search -- A Joint Learning Model for Open Set Recognition with Post-processing -- Cross-Layer Fusion for Feature Distillation -- MCHPT: A Weakly Supervise Based Merchant Pre-trained Model -- Progressive Latent Replay for efficient Generative Rehearsal -- Generalization Bounds for Set-to-Set Matching with Negative Sampling -- ADA: An Attention-Based Data Augmentation Approach to Handle Imbalanced Textual Datasets -- Countering the Anti-detection Adversarial Attacks -- Evolving Temporal Knowledge Graphs by Iterative Spatio-Temporal Walks -- Improving Knowledge Graph Embedding Using Dynamic Aggregation of Neighbor Information -- Generative Generalized Zero-Shot Learning based on Auxiliary-Features -- Learning Stable Representations with Progressive Autoencoder (PAE) -- Effect of Image Down-sampling on Detection of Adversarial Examples -- Boosting the Robustness of Neural Networks with M-PGD -- StatMix: Data augmentation method that relies on image statistics in federated learning -- Classification by Components Including Chow's Reject Option. -Community discovery algorithm based on improved deep sparse autoencoder -- Fairly Constricted Multi-Objective Particle Swarm Optimization -- Argument Classification with BERT plus Contextual, Structural andSyntactic Features as Text -- Variance Reduction for Deep Q-Learning using Stochastic Recursive Gradient -- Optimizing Knowledge Distillation Via Shallow Texture Knowledge Transfer -- Unsupervised Domain Adaptation Supplemented with |
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Generated Images -- MAR2MIX: A Novel Model for Dynamic Problem in Multi-Agent Reinforcement Learning -- Adversarial Training with Knowledge Distillation Considering Intermediate Representations in CNNs -- Deep Contrastive Multi-view Subspace Clustering. |
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Sommario/riassunto |
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The four-volume set CCIS 1791, 1792, 1793 and 1794 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 22–26, 2022. The 213 papers presented in the proceedings set were carefully reviewed and selected from 810 submissions. They were organized in topical sections as follows: Theory and Algorithms; Cognitive Neurosciences; Human Centered Computing; and Applications. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements. |
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