2008
DOI: 10.1017/s0007123408000203
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The Congressional Debate on Partial-Birth Abortion: Constitutional Gravitas and Moral Passion

Abstract: I employ automated content analysis to measure the dimensionality of Senate debates on the 2003 Partial-Birth Abortion Ban Act and compare these results with the final vote. The underlying verbal conflict leading up to the final roll call vote contains two important dimensions: (1) an emotive battle over the abortion procedure itself, and (2) the battle over the constitutionality of the bill. Surprisingly, senators appear not to have voted along the first dimension of the verbal conflict, but rather along the … Show more

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Cited by 34 publications
(32 citation statements)
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“…Here, we apply a computerassisted method, implemented with the Alceste software, 7 drawing on its applications by (Brugidou 2003). The Alceste method is suited for identifying themes in political debates and their association with specific variables of interest for the analysis (Weale et al 2012, 647;Schonhardt-Bailey 2008). In this study variables of interest are the level at which the consultations were held: regional, national and local; and the type of speaker: moderator or discussant.…”
Section: Methodsmentioning
confidence: 99%
“…Here, we apply a computerassisted method, implemented with the Alceste software, 7 drawing on its applications by (Brugidou 2003). The Alceste method is suited for identifying themes in political debates and their association with specific variables of interest for the analysis (Weale et al 2012, 647;Schonhardt-Bailey 2008). In this study variables of interest are the level at which the consultations were held: regional, national and local; and the type of speaker: moderator or discussant.…”
Section: Methodsmentioning
confidence: 99%
“…Speeches have been used to estimate ideology of members of parliaments (Diermeier et al 2012; Laver and Benoit 2002; Monroe and Maeda 2004), governments (Giannetti and Laver 2005), and parties (Proksch and Slapin 2010). Others have used legislative speeches to assess congressional support for bills (Thomas, Pang, and Lee 2006), the dimensionality and the nature of rhetorical conflict in Congress (Monroe, Colaresi, and Quinn 2008; Quinn et al 2010; Schonhardt‐Bailey 2008), and the nature of ideology surrounding specific policies such as national security (Schonhardt‐Bailey 2005). However, if legislative speech is subject to selection effects, these data may not accurately reflect the true distribution of preferences.…”
Section: Party Politics and Legislative Speechmentioning
confidence: 99%
“…Based on a bisecting K-means clustering algorithm, T-LAB identifies clusters of documents that use a similar vocabulary (for further information, see Steinbach et al [2000]). Given that interest groups need to rely on similar words to make the same argument, for instance using words such as 'warming', 'climate' and 'pollution' to highlight the impact of a legislative initiative on climate change, these clusters can be interpreted as frames Schonhardt-Bailey 2008).…”
Section: Measuring Interest Group Framesmentioning
confidence: 99%