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   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Harvey Sapolsky.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Rovner, Joshua Randall</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Political Science.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Political Science</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2009-08-26T17:08:55Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2008</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2008</dim:field>
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   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">426158498</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Political Science, 2008.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 399-414).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">A growing literature in international relations theory explores how domestic institutions filter and mediate international signals. The study of intelligence-policy relations fits naturally into this mold, because intelligence agencies are specifically designed to collect and interpret information about the international environment. This study provides a general framework for theorizing about intelligence-policy relations by exploring how leaders respond to new intelligence estimates. In addition to providing a deductive characterization of the intelligence-policy problem, the dissertation presents a model of politicization, defined as the manipulation of estimates to reflect policy preferences. When leaders commit themselves to controversial policies, they have strong domestic political incentives to put pressure on intelligence agencies to publicly support their decisions. Intelligence agencies control secret information and presumably have access to sources that are unavailable elsewhere. For this reason, the use of intelligence for policy advocacy is a uniquely persuasive kind of policy oversell. The dissertation tests the model in a series of pair-wise comparisons. The first pair of cases explains why the Johnson administration first ignored and later politicized intelligence on Vietnam. The second pair explains why, despite their differences, the Nixon and Ford administrations both ended up politicizing intelligence on the Soviet strategic threat. The last pair of cases compares the U.S. and British responses to intelligence before the recent war in Iraq. The results of the study show that domestic variables identified in the oversell model strongly affect the likelihood of politicization. Organizational and individual-level explanations are less satisfying.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Joshua Rovner.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">Ph.D.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">414 p.</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">M.I.T. theses are protected by 
copyright. They may be viewed from this source for any purpose, but 
reproduction or distribution in any format is prohibited without written 
permission. See provided URL for inquiries about permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Political Science.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Intelligence-policy relations and the problem of politicization</dim:field>
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   	&lt;Title>Intelligence-policy relations and the problem of politicization&lt;/Title>
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   	&lt;Abstract>A growing literature in international relations theory explores how domestic institutions filter and mediate international signals. The study of intelligence-policy relations fits naturally into this mold, because intelligence agencies are specifically designed to collect and interpret information about the international environment. This study provides a general framework for theorizing about intelligence-policy relations by exploring how leaders respond to new intelligence estimates. In addition to providing a deductive characterization of the intelligence-policy problem, the dissertation presents a model of politicization, defined as the manipulation of estimates to reflect policy preferences. When leaders commit themselves to controversial policies, they have strong domestic political incentives to put pressure on intelligence agencies to publicly support their decisions. Intelligence agencies control secret information and presumably have access to sources that are unavailable elsewhere. For this reason, the use of intelligence for policy advocacy is a uniquely persuasive kind of policy oversell. The dissertation tests the model in a series of pair-wise comparisons. The first pair of cases explains why the Johnson administration first ignored and later politicized intelligence on Vietnam. The second pair explains why, despite their differences, the Nixon and Ford administrations both ended up politicizing intelligence on the Soviet strategic threat. The last pair of cases compares the U.S. and British responses to intelligence before the recent war in Iraq. The results of the study show that domestic variables identified in the oversell model strongly affect the likelihood of politicization. Organizational and individual-level explanations are less satisfying.&lt;/Abstract>
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