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Why are some places in the world characterized by better social service provision and welfare outcomes than others? In a world in which millions of people, particularly in developing countries, continue to lead lives plagued by illiteracy and ill-health, understanding the conditions that promote social welfare is of critical importance to political scientists and policy makers alike. Drawing on a multi-method study, from the late nineteenth century to the present, of the stark variations in educational and health outcomes within a large, federal, multiethnic developing country - India - this book develops an argument for the power of collective identity as an impetus for state prioritization of social welfare. Such an argument not only marks an important break from the dominant negative perceptions of identity politics but also presents a novel theoretical framework to understand welfare provision.
Subnational governments --- Nationalism --- Political science --- India --- Social policy. --- Social conditions. --- Politics and government.
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This important book presents impactful findings from international longitudinal studies that responded to the Agenda 2030 commitment to "leave no-one behind". It provides actionable strategies for policy makers and practitioners to strengthen the global Sustainable Development Goals framework and accelerate their implementation.
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This important book presents impactful findings from international longitudinal studies that responded to the Agenda 2030 commitment to "leave no-one behind". It provides actionable strategies for policy makers and practitioners to strengthen the global Sustainable Development Goals framework and accelerate their implementation.
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This book investigates the phenomenon of actuality inferences, in which claims of ability are-in certain temporal contexts-interpreted as descriptions of actual events, instead of as descriptions of potentialities or possibilities. Although actuality inferences evidently arise in the interaction between modality and aspect, they have long resisted compositional explication in standard treatments of these semantic categories. Prerna Nadathur here pursues a newapproach, in which actuality inferences are linked to a novel component in the semantics of ability: causal dependence relations. The account is developed through a comparative, crosslinguistic semantic analysis of three predicate classes that license similar inferences: implicative verbs in Finnish andEnglish, enough/too predicates in French and English, and (modal) ability predicates in French, Hindi, and English. Similarities in the inferential profiles of these predicates are tied to their shared causal background structure, while their differences-including in sensitivity to grammatical aspect-derive from differences in asserted content and associated aspectual class contrasts. The central argument is that a complex causal structure for ability interacts with the compositionalrequirements of aspect to derive the observed actuality-ability ambiguity. The volume shows that causal structure and causal relationships shape patterns of linguistic inference beyond the overtly causal domain, and thus contributes to a new and growing body of research in which formal, computational causalmodels are employed as an analytic tool for lexical and compositional semantics.
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This important book presents impactful findings from international longitudinal studies that responded to the Agenda 2030 commitment to "leave no-one behind". It provides actionable strategies for policy makers and practitioners to strengthen the global Sustainable Development Goals framework and accelerate their implementation.
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Numerical methods are the mathematical procedures that approximate the solution of complex mathematical problems into much simpler form and which find a wide variety of use while solving complex Physical Chemistry problems. This book aims to aide in understanding of such numerical methods including solving complex differential equations and numerical differentiation & integration. Moreover it also explains various statistical tests used in Analytical Chemistry for data analysis. The author has tried to include as many example from Chemistry problems for a better understanding of the methods.
Chemistry --- Chemistry, Physical and theoretical. --- Analytical chemistry. --- Chimie --- Chimie physique et théorique. --- Chimie analytique. --- Mathematics. --- Mathématiques.
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