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Queer Data Studies
  • Language: en

Queer Data Studies

  • Type: Book
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  • Published: 2023-11-07
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  • Publisher: Unknown

Data, perilous and powerful, is both a worldmaking and a dismantling force. The collection of data about queer lives and bodies, the consequences of data analysis for queer subjects, and considerations of privacy and consent often present ethical dilemmas even as queer data expands our understanding of who and what counts. The need for queer analyses and perspectives has taken on a new sense of urgency in light of hostile antiqueer policies by major technology companies, the security theater of airports, the disproportionate rates of policing queer people and people of color, digital surveillance in border security, and the proliferation of digital health records. Gathering wide-ranging inte...

Queerly Canadian, Second Edition
  • Language: en
  • Pages: 726

Queerly Canadian, Second Edition

In the second edition of this remarkable and comprehensive anthology, many of Canada's leading sexuality studies scholars examine the fundamental role that sexuality has played—and continues to play—in the building of our nation, and in our national narratives, myths, and anxieties about Canadian identity. Thoroughly updated, this new edition features twenty-six new chapters on topics including Indigenous kinship, Blackness, masculinity, disability, queer resistance, and sex education. Covering both historical and contemporary perspectives on nation and community, law and criminal justice, organizing and activism, health and medicine, education, marriage and family, sport, and popular cu...

Feminist and Queer Information Studies Reader
  • Language: en
  • Pages: 700

Feminist and Queer Information Studies Reader

"Gathers existing research along with new scholarship on the intersection of gender and sexuality and information use"--Provided by publisher.

Uncertain Archives
  • Language: en
  • Pages: 638

Uncertain Archives

  • Type: Book
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  • Published: 2021-02-02
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  • Publisher: MIT Press

Scholars from a range of disciplines interrogate terms relevant to critical studies of big data, from abuse and aggregate to visualization and vulnerability. This pathbreaking work offers an interdisciplinary perspective on big data, interrogating key terms. Scholars from a range of disciplines interrogate concepts relevant to critical studies of big data--arranged glossary style, from from abuse and aggregate to visualization and vulnerability--both challenging conventional usage of such often-used terms as prediction and objectivity and introducing such unfamiliar ones as overfitting and copynorm. The contributors include both leading researchers, including N. Katherine Hayles, Johanna Drucker and Lisa Gitelman, and such emerging agenda-setting scholars as Safiya Noble, Sarah T. Roberts and Nicole Starosielski.

Directory [of] Officers, Faculty, and Staff and Associated Organizations
  • Language: en
  • Pages: 562

Directory [of] Officers, Faculty, and Staff and Associated Organizations

  • Type: Book
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  • Published: 2001
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  • Publisher: Unknown

None

All Data Are Local
  • Language: en
  • Pages: 267

All Data Are Local

  • Type: Book
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  • Published: 2019-04-30
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  • Publisher: MIT Press

How to analyze data settings rather than data sets, acknowledging the meaning-making power of the local. In our data-driven society, it is too easy to assume the transparency of data. Instead, Yanni Loukissas argues in All Data Are Local, we should approach data sets with an awareness that data are created by humans and their dutiful machines, at a time, in a place, with the instruments at hand, for audiences that are conditioned to receive them. The term data set implies something discrete, complete, and portable, but it is none of those things. Examining a series of data sources important for understanding the state of public life in the United States—Harvard's Arnold Arboretum, the Digi...

The Participatory Cultures Handbook
  • Language: en
  • Pages: 314

The Participatory Cultures Handbook

  • Type: Book
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  • Published: 2013
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  • Publisher: Routledge

The Participatory Cultures Handbook will help students and scholars navigate this rapidly changing media and cultural terrain. Composed of newly commissioned essays from contributors across disciplines, this handbook will introduce students to the concept of participatory culture, explain how researchers approach participatory culture studies, and provide original examples of participatory culture in action. The wide range of topics explored in participatory culture include crowdsourcing, citizen journalism, fanfiction, wikis, video games, video sharing, transmedia storytelling, and much more.

Encyclopedia Canadiana
  • Language: en
  • Pages: 444

Encyclopedia Canadiana

  • Type: Book
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  • Published: 1975
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  • Publisher: Unknown

None

Digital Playgrounds
  • Language: en
  • Pages: 367

Digital Playgrounds

Digital Playgrounds explores the key developments, trends, debates, and controversies that have shaped children’s commercial digital play spaces over the past two decades. It argues that children’s online playgrounds, virtual worlds, and connected games are much more than mere sources of fun and diversion – they serve as the sites of complex negotiations of power between children, parents, developers, politicians, and other actors with a stake in determining what, how, and where children’s play unfolds. Through an innovative, transdisciplinary framework combining science and technology studies, critical communication studies, and children’s cultural studies, Digital Playgrounds foc...

Human-Centered Data Science
  • Language: en
  • Pages: 201

Human-Centered Data Science

  • Type: Book
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  • Published: 2022-03-01
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  • Publisher: MIT Press

Best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of large datasets. Human-centered data science is a new interdisciplinary field that draws from human-computer interaction, social science, statistics, and computational techniques. This book, written by founders of the field, introduces best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of very large datasets. It offers a brief and accessible overview of many common statistical and algorithmic data science techniques, explains human-centered approaches to data science problems, and present...