Tracing the Life Cycle of Ideas in the Humanities and Social Sciences

Tracing the Life Cycle of Ideas in the Humanities and Social Sciences PDF

Author: Arjuna Tuzzi

Publisher: Springer

Published: 2018-10-30

Total Pages: 217

ISBN-13: 331997064X

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This book demonstrates how quantitative methods for text analysis can successfully combine with qualitative methods in the study of different disciplines of the Humanities and Social Sciences (HSS). The book focuses on learning about the evolution of ideas of HSS disciplines through a distant reading of the contents conveyed by scientific literature, in order to retrieve the most relevant topics being debated over time. Quantitative methods, statistical techniques and software packages are used to identify and study the main subject matters of a discipline from raw textual data, both in the past and today. The book also deals with the concept of quality of life of words and aims to foster a discussion about the life cycle of scientific ideas. Textual data retrieved from large corpora pose interesting challenges for any data analysis method and today represent a growing area of research in many fields. New problems emerge from the growing availability of large databases and new methods are needed to retrieve significant information from those large information sources. This book can be used to explain how quantitative methods can be part of the research instrumentation and the "toolbox" of scholars of Humanities and Social Sciences. The book contains numerous examples and a description of the main methods in use, with references to literature and available software. Most of the chapters of the book have been written in a non-technical language for HSS researchers without mathematical, computer or statistical backgrounds.

Tracing the Life Cycle of Ideas in the Humanities and Social Sciences

Tracing the Life Cycle of Ideas in the Humanities and Social Sciences PDF

Author: Arjuna Tuzzi

Publisher:

Published: 2018

Total Pages:

ISBN-13: 9783319970653

DOWNLOAD EBOOK →

This book demonstrates how quantitative methods for text analysis can successfully combine with qualitative methods in the study of different disciplines of the Humanities and Social Sciences (HSS). The book focuses on learning about the evolution of ideas of HSS disciplines through a distant reading of the contents conveyed by scientific literature, in order to retrieve the most relevant topics being debated over time. Quantitative methods, statistical techniques and software packages are used to identify and study the main subject matters of a discipline from raw textual data, both in the past and today. The book also deals with the concept of quality of life of words and aims to foster a discussion about the life cycle of scientific ideas. Textual data retrieved from large corpora pose interesting challenges for any data analysis method and today represent a growing area of research in many fields. New problems emerge from the growing availability of large databases and new methods are needed to retrieve significant information from those large information sources. This book can be used to explain how quantitative methods can be part of the research instrumentation and the "toolbox" of scholars of Humanities and Social Sciences. The book contains numerous examples and a description of the main methods in use, with references to literature and available software. Most of the chapters of the book have been written in a non-technical language for HSS researchers without mathematical, computer or statistical backgrounds.--

Embracing Change

Embracing Change PDF

Author: Alberta Contarello

Publisher: Oxford University Press

Published: 2022

Total Pages: 249

ISBN-13: 0197617360

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"How has social psychology investigated the concept of change? In this chapter, we try to answer this question by moving in two directions. First, we briefly consider the main lines of research described in some of the reference books on social psychology, and the contributions of leading scholars who studied change (i.e. the great names in its history, cf. Lubek, 1993). Second, we analyze the abstracts of the papers published in two journals of pivotal importance in this field since their inception, i.e. the Journal of Personality and Social Psychology and the European Journal of Social Psychology. In line with recent developments in digital methods, the distant reading of large corpora of scientific literature can serve as a valid counterpart to more traditional ways of pursuing a historical quest like the one we posit here (Tuzzi, 2018)"--

The Dynamics of Science

The Dynamics of Science PDF

Author: Grant Ramsey

Publisher: University of Pittsburgh Press

Published: 2022-11-22

Total Pages: 276

ISBN-13: 0822989093

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Millions of scientific articles are published each year, making it difficult to stay abreast of advances within even the smallest subdisciplines. Traditional approaches to the study of science, such as the history and philosophy of science, involve closely reading a relatively small set of journal articles. And yet many questions benefit from casting a wider net: Is most scientific change gradual or revolutionary? What are the key sources of scientific novelty? Over the past several decades, a massive effort to digitize the academic literature and equip computers with algorithms that can distantly read and analyze a digital database has taken us one step closer to answering these questions. The Dynamics of Science brings together a diverse array of contributors to examine the largely unexplored computational frontiers of history and philosophy of science. Together, they reveal how tools and data from automated textual analysis, or machine “reading,” combined with methods and models from game theory and cultural evolutionary theory, can begin to answer fundamental questions about the nature and history of science.

Third International Handbook of Lifelong Learning

Third International Handbook of Lifelong Learning PDF

Author: Karen Evans

Publisher: Springer Nature

Published: 2023-03-21

Total Pages: 1330

ISBN-13: 3031195922

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The Third edition of this well-received and widely used Handbook brings together an entirely new set of chapters, to reflect progress and new themes in the ten years to 2022. Building on the established structure of the first two Handbooks, the four sections focus in turn on: philosophy, history and theory development; fresh perspectives on policy and policy development; emerging programs and new approaches; and re-imagining lifelong learning for future challenges. The Handbook stimulates readers with fresh and timely insights, while exploring anew some enduring themes. New topics and themes introduced in all sections address lifelong learning challenges associated with climate change, the digital world, the rise of populism, migration and precarious living. The Handbook features learning innovations and evolving pedagogies such as intergenerational learning, art as pedagogy to promote public-mindedness, neuroscience enhancing learning effectiveness, and lifelong learning for sustainability. Policy responses to lifelong learning for work and well-being are debated. In state of the art contributions, authors from around the globe focus readers' attention on multifaceted processes, issues and decisions that must be better understood and enacted if inclusive development and fair access to lifelong learning are to become realities for us all.

Machine Learning Methods for Stylometry

Machine Learning Methods for Stylometry PDF

Author: Jacques Savoy

Publisher: Springer Nature

Published: 2020-09-28

Total Pages: 286

ISBN-13: 3030533603

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This book presents methods and approaches used to identify the true author of a doubtful document or text excerpt. It provides a broad introduction to all text categorization problems (like authorship attribution, psychological traits of the author, detecting fake news, etc.) grounded in stylistic features. Specifically, machine learning models as valuable tools for verifying hypotheses or revealing significant patterns hidden in datasets are presented in detail. Stylometry is a multi-disciplinary field combining linguistics with both statistics and computer science. The content is divided into three parts. The first, which consists of the first three chapters, offers a general introduction to stylometry, its potential applications and limitations. Further, it introduces the ongoing example used to illustrate the concepts discussed throughout the remainder of the book. The four chapters of the second part are more devoted to computer science with a focus on machine learning models. Their main aim is to explain machine learning models for solving stylometric problems. Several general strategies used to identify, extract, select, and represent stylistic markers are explained. As deep learning represents an active field of research, information on neural network models and word embeddings applied to stylometry is provided, as well as a general introduction to the deep learning approach to solving stylometric questions. In turn, the third part illustrates the application of the previously discussed approaches in real cases: an authorship attribution problem, seeking to discover the secret hand behind the nom de plume Elena Ferrante, an Italian writer known worldwide for her My Brilliant Friend’s saga; author profiling in order to identify whether a set of tweets were generated by a bot or a human being and in this second case, whether it is a man or a woman; and an exploration of stylistic variations over time using US political speeches covering a period of ca. 230 years. A solutions-based approach is adopted throughout the book, and explanations are supported by examples written in R. To complement the main content and discussions on stylometric models and techniques, examples and datasets are freely available at the author’s Github website.

Interdisciplinarity in the Scholarly Life Cycle

Interdisciplinarity in the Scholarly Life Cycle PDF

Author: Karin Bijsterveld

Publisher: Springer Nature

Published: 2023-01-01

Total Pages: 338

ISBN-13: 3031111087

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This open access book illustrates how interdisciplinary research develops over the lifetime of a scholar: not in a single project, but as an attitude that trickles down, or spirals up, into research. This book presents how interdisciplinary work has inspired shifts in how the contributors read, value concepts, critically combine methods, cope with knowledge hierarchies, write in style, and collaborate. Drawing on extensive examples from the humanities and social sciences, the editors and chapter authors show how they started, tried to open up, dealt with inconsistencies, had to adapt, and ultimately learned and grew as researchers. The book offers valuable insights into the conditions and complexities present for interdisciplinary research to be successful in an academic setting. This is an open access book.

The Life Cycle of Psychological Ideas

The Life Cycle of Psychological Ideas PDF

Author: Thomas C. Dalton

Publisher: Springer Science & Business Media

Published: 2006-01-03

Total Pages: 367

ISBN-13: 0306480107

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This book focuses on what other volumes have only touched on, that is the factors that contribute to the rise of certain persons and ideas in the field of psychology. Bringing together noted experts in the field, it describes the process of intellectual reconstructions that determines how we view historical events, and why some ideas die only to be reborn again, as well as why new ideas can quickly topple traditional views.

Performing Arts and Digital Humanities

Performing Arts and Digital Humanities PDF

Author: Clarisse Bardiot

Publisher: John Wiley & Sons

Published: 2021-09-15

Total Pages: 242

ISBN-13: 1786307057

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Digital traces, whether digitized (programs, notebooks, drawings, etc.) or born digital (emails, websites, video recordings, etc.), constitute a major challenge for the memory of the ephemeral performing arts. Digital technology transforms traces into data and, in doing so, opens them up to manipulation. This paradigm shift calls for a renewal of methodologies for writing the history of theater today, analyzing works and their creative process, and preserving performances. At the crossroads of performing arts studies, the history, digital humanities, conservation and archiving, these methodologies allow us to take into account what is generally dismissed, namely, digital traces that are considered too complex, too numerous, too fragile, of dubious authenticity, etc. With the analysis of Merce Cunningham’s digital traces as a guideline, and through many other examples, this book is intended for researchers and archivists, as well as artists and cultural institutions.

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