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Quantitative Analysis of Regulatory ...

Greenblott, Joseph Michael.

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Quantitative Analysis of Regulatory Discourses on Agricultural Genetic Engineering: An Exploration and Empirical Application of Critical Theory.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Quantitative Analysis of Regulatory Discourses on Agricultural Genetic Engineering: An Exploration and Empirical Application of Critical Theory./
Author:	Greenblott, Joseph Michael.
Description:	459 p.
Notes:	Source: Dissertation Abstracts International, Volume: 74-10(E), Section: A.
Contained By:	Dissertation Abstracts International74-10A(E).
Subject:	Environmental Philosophy. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3565319
ISBN:	9781303149559

Quantitative Analysis of Regulatory Discourses on Agricultural Genetic Engineering: An Exploration and Empirical Application of Critical Theory.
Greenblott, Joseph Michael.

Quantitative Analysis of Regulatory Discourses on Agricultural Genetic Engineering: An Exploration and Empirical Application of Critical Theory. - 459 p.

Source: Dissertation Abstracts International, Volume: 74-10(E), Section: A.

Thesis (Ph.D.)--George Mason University, 2013.

This dissertation takes a multidisciplinary approach to examining public policy. On one level, the dissertation is a case study of the use of methodological triangulation to understand the values and beliefs of people within a regulatory system associated with a complex social issue: modern biotechnology/genetic engineering. On another level it is a deep exploration and a practical application of Habermas' Theory of Communicative Action.

ISBN: 9781303149559Subjects--Topical Terms:

1669634
Environmental Philosophy.

Quantitative Analysis of Regulatory Discourses on Agricultural Genetic Engineering: An Exploration and Empirical Application of Critical Theory.
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020 $a 9781303149559
035 $a (MiAaPQ)AAI3565319
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100 1 $a Greenblott, Joseph Michael. $3 2093591
245 1 0 $a Quantitative Analysis of Regulatory Discourses on Agricultural Genetic Engineering: An Exploration and Empirical Application of Critical Theory.
300 $a 459 p.
500 $a Source: Dissertation Abstracts International, Volume: 74-10(E), Section: A.
500 $a Adviser: Lee Talbot.
502 $a Thesis (Ph.D.)--George Mason University, 2013.
520 $a This dissertation takes a multidisciplinary approach to examining public policy. On one level, the dissertation is a case study of the use of methodological triangulation to understand the values and beliefs of people within a regulatory system associated with a complex social issue: modern biotechnology/genetic engineering. On another level it is a deep exploration and a practical application of Habermas' Theory of Communicative Action.
520 $a Q methodology was used in combination with semi-structured interviews and a traditional survey to characterize the values, attitudes, and beliefs of individuals from U.S. federal regulatory agencies that oversee agricultural and food biotechnology: the U.S. Environmental Protection Agency, U.S. Food and Drug Administration and the U.S. Department of Agriculture. For comparative purposes, the study also included two individuals from consumer advocacy organizations and environmental science and policy students from George Mason University, who participated in a pilot study that was included in the final analyses.
520 $a Q method identified 6 distinct discourses within the 31 participants. The dominant discourse, which accounted for 19 of the 31 participants, is characterized by strong support for biotechnology, the existing regulatory system, and statements asserting purposive-rational validity claims, and a rejection of normative validity claims. The results of the survey found considerable consistency among participants from regulatory agencies in their attitudes and beliefs as measured by items from the New Ecological Paradigm, Normative Belief, and Schwartz's value cluster scales. Support for unrestricted scientific research and general optimism toward technologies were identified as significant predictors of support for biotechnology.
590 $a School code: 0883.
650 4 $a Environmental Philosophy. $3 1669634
650 4 $a Political Science, General. $3 1017391
650 4 $a Sociology, Public and Social Welfare. $3 1017909
650 4 $a Engineering, Agricultural. $3 1019504
690 $a 0392
690 $a 0615
690 $a 0630
690 $a 0539
710 2 $a George Mason University. $b Environmental Science and Public Policy. $3 2093592
773 0 $t Dissertation Abstracts International $g 74-10A(E).
790 $a 0883
791 $a Ph.D.
792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3565319