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Prisons, Genres, and Big Data: Under...

Stephens, Eric James.

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Prisons, Genres, and Big Data: Understanding the Language of Corrections in America's Prisons.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Prisons, Genres, and Big Data: Understanding the Language of Corrections in America's Prisons./
作者:	Stephens, Eric James.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:	156 p.
附註:	Source: Dissertations Abstracts International, Volume: 79-12, Section: A.
Contained By:	Dissertations Abstracts International79-12A.
標題:	Technical Communication. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10793090
ISBN:	9780438054189

Prisons, Genres, and Big Data: Understanding the Language of Corrections in America's Prisons.
Stephens, Eric James.

Prisons, Genres, and Big Data: Understanding the Language of Corrections in America's Prisons. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 156 p.

Source: Dissertations Abstracts International, Volume: 79-12, Section: A.

Thesis (Ph.D.)--Clemson University, 2018.

This item must not be added to any third party search indexes.

This dissertation seeks to answer one fundamental question: How can I as a researcher conduct social justice research that is ethical, durable, and portable? As social justice research becomes more prominent in the field of technical and professional communication, ethical research practices must be maintained to avoid an unintentional wounding of the subjects for whom researchers hope to advocate. The dissertation is divided into five sections, each written as a stand-alone article that builds on the principles of the section before it. Each section addresses a key question: 1) How do I ethically engage in social justice research? 2) How do I ethically engage with big data and algorithmic rhetorics? 3) How do I frame my research to have the most impact outside my home discipline? 4) What does an ethical, computational content analysis look like? 5) How do these principles translate into the classroom? Together, these articles identify a methodology called Institutional Genre Analysis, which focuses on text as data that was produced by an institution rather than individual users, avoiding many of the pitfalls of big data research while providing a means for what Vitanza calls "intellectual guerilla warfare conducted by [marginalized individuals]" (1987, p. 52).

ISBN: 9780438054189Subjects--Topical Terms:

1669287
Technical Communication.

Prisons, Genres, and Big Data: Understanding the Language of Corrections in America's Prisons.
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