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|a 9783031512544
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|a 10.1007/978-3-031-51254-4
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|a Brian, Éric.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Are Statistics Only Made of Data?
|h [electronic resource] :
|b Know-how and Presupposition from the 17th and 19th Centuries /
|c by Éric Brian.
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|a 1st ed. 2024.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2024.
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|a XIII, 169 p. 20 illus.
|b online resource.
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|a text
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|a online resource
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|b Table of contents navigation
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|a text file
|b PDF
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|a Methodos Series, Methodological Prospects in the Social Sciences,
|x 2542-9892 ;
|v 20
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|a Foreword: The Peculiar Meanings of Data -- Chapter 1: Considering Data: Critique and Method -- Chapter 2: Data Arithmetic, Ratios and Mechanical Reasoning in the 17th Century -- Chapter 3: Analytical Probability, Averages and Data Distributions in the 19th Century -- Chapter 4: Idols, Paradigms and Specters in Data Sciences -- List of illustations.-List of references.-General index.
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|a This book examines several epistemological regimes in studies of numerical data over the last four centuries. It distinguishes these regimes and mobilises questions present in the philosophy of science, sociology and historical works throughout the 20th century. Attention is given to the skills of scholars and their methods, their assumptions, and the socio-historical conditions that made calculations and their interpretations possible. In doing so, questions posed as early as Émile Durkheim’s and Ernst Cassirer’s ones are revisited and the concept of symbolic form is put to the test in this particular survey, conducted over long period of time. Although distinct from a methodological and epistemological point of view, today these regimes may be found together in the toolbox of statisticians and those who comment on their conclusions. As such, the book is addressed to social scientists and historians and all those who are interested in numerical productions. This book is a translation of an original French edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.
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|a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com.
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|a No reading system accessibility options actively disabled
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|a Publisher contact for further accessibility information: accessibilitysupport@springernature.com
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|a Social sciences.
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|a Sampling (Statistics).
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| 650 |
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|a Statistics .
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| 650 |
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|a History.
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|a Science
|x Philosophy.
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|a Knowledge, Theory of.
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|a Society.
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|a Methodology of Data Collection and Processing.
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| 650 |
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|a History of Statistics.
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| 650 |
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|a Philosophy of Science.
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| 650 |
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|a Epistemology.
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| 710 |
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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| 776 |
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|i Printed edition:
|z 9783031512537
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| 776 |
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|i Printed edition:
|z 9783031512551
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| 776 |
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|i Printed edition:
|z 9783031512568
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|a Methodos Series, Methodological Prospects in the Social Sciences,
|x 2542-9892 ;
|v 20
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-031-51254-4
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|a ZDB-2-SLS
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|a ZDB-2-SXS
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|a Social Sciences (SpringerNature-41176)
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|a Social Sciences (R0) (SpringerNature-43726)
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