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1. |
Record Nr. |
UNINA9910796972503321 |
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Autore |
Bala Sruti <1973-> |
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Titolo |
The gestures of participatory art / Sruti Bala |
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Pubbl/distr/stampa |
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Baltimore, Maryland : , : Project Muse, , 2019 |
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Baltimore, Md. : , : Project MUSE, , 2019 |
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©2019 |
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ISBN |
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1-5261-0770-8 |
1-5261-3892-1 |
1-5261-0769-4 |
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Descrizione fisica |
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1 online resource (x,156 pages) : illustrations |
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Collana |
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Manchester scholarship online |
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Disciplina |
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Soggetti |
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Community arts projects |
Interactive art |
Electronic books. |
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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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Previously issued in print: 2018. |
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Nota di bibliografia |
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Includes bibliographical references (pages 142-153) and index. |
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Nota di contenuto |
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Gestures of institutional critique -- On the inconvenient means and ends of participation -- Unsolicited gestures of participation -- Vicarious gestures of participation -- Delicate gestures of participation -- Conclusion : between image, act, body and language. |
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Sommario/riassunto |
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Participation is the utopian sweet dream that has turned into a nightmare in contemporary neoliberal societies. Yet can the participatory ideal be discarded or merely replaced with another term, just because it has become disemboweled into a tool of pacification? The gestures of participatory art insists that the concept of participation must be re-imagined and shifted onto other registers. Moving from reflections on institutional critique and impact to concrete analyses of moments of unsolicited, delicate participation and refusal, the book examines a range of artistic practices from India, Sudan, Guatemala and El Salvador, the Lebanon, the Netherlands and Germany. It proposes the concept of the gesture as a way of theorising participatory art, situating it between the visual and the performing arts, as both individual and collective, both internal attitude and social habitude. |
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2. |
Record Nr. |
UNISA996508570303316 |
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Autore |
Heumann Christian <1962-> |
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Titolo |
Introduction to Statistics and Data Analysis [[electronic resource] ] : With Exercises, Solutions and Applications in R / / by Christian Heumann, Michael Schomaker, Shalabh |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
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ISBN |
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Edizione |
[2nd ed. 2022.] |
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Descrizione fisica |
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1 online resource (584 pages) |
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Disciplina |
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Soggetti |
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Statistics |
Quantitative research |
Statistics—Computer programs |
Statistical Theory and Methods |
Data Analysis and Big Data |
Applied Statistics |
Statistical Software |
Estadística |
Econometria |
Macroeconomia |
R (Llenguatge de programació) |
Llibres electrònics |
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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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Part I Descriptive Statistics: Introduction and Framework -- Frequency Measures and Graphical Representation of Data -- Measures of Central Tendency and Dispersion -- Association of Two Variables -- Part I Probability Calculus: Combinatorics -- Elements of Probability Theory -- Random Variables -- Probability Distributions -- Part III Inductive Statistics: Inference -- Hypothesis Testing -- Linear Regression -- Logistic Regression -- Part IV Additional Topics Simple Random |
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Sampling and Bootstrapping -- Causality -- Part V Appendices: Introduction to R -- Solutions to Exercises -- Technical Appendix -- Visual Summaries. |
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Sommario/riassunto |
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Now in its second edition, this introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. This revised and extended edition features new chapters on logistic regression, simple random sampling, including bootstrapping, and causal inference. The text is primarily intended for undergraduate students in disciplines such as business administration, the social sciences, medicine, politics, and macroeconomics. It features a wealth of examples, exercises and solutions with computer code in the statistical programming language R, as well as supplementary material that will enable the reader to quickly adapt the methods to their own applications. |
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