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Record W2024243339 · doi:10.1080/09546553.2011.596774

Tracking the War of Ideas: A Poll of Ottawa Muslims

2011· article· en· W2024243339 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueTerrorism and Political Violence · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicTerrorism, Counterterrorism, and Political Violence
Canadian institutionsIsomer Design (Canada)Royal Military College of Canada
Fundersnot available
KeywordsTerrorismHomelandMilitantHomeland securitySpanish Civil WarGovernment (linguistics)IslamPolitical scienceLawParliamentOpinion pollPower (physics)National securityPoliticsSociologyPublic opinionMedia studiesCriminologyHistory

Abstract

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Abstract A 2008 poll of 430 Ottawa Muslims found predominantly negative views of the U.S. war on terrorism, including the war in Iraq and the war in Afghanistan. This poll also assessed approval of Western powers (U.S., Canada, Israel, United Nations) and challengers of Western power (Al-Qaeda, Hamas, Hizballah, government of Iran). Surprisingly, attitudes of Ottawa Muslims toward militant Muslim groups were unrelated to their attitudes toward Western governments. Discussion suggests that this pattern, if confirmed in other Muslim polls, would mean that the war of ideas against radical Islam must address not one target but two: favorable opinions of militants and unfavorable opinions of the U.S. Muslims who come to like the West more may not like Muslim militants any less. Keywords: Clash of CivilizationsMuslim militantsOttawa MuslimsterrorismU.S. governmentwar in Afghanistanwar in Iraqwar of ideas Acknowledgments This research was supported by the United States Department of Homeland Security through the National Consortium for the Study of Terrorism and Responses to Terrorism (START), grant number N00140510629. However, any opinions, findings, conclusions or recommendations in this document are those of the authors and do not necessarily reflect the views of the U.S. Department of Homeland Security or the Royal Military College of Canada. Notes Note: Tabled percentages include Don't Know and No Response, except for family income. Note: Tabled percentages include Don't Know and No Response. a Percentage of respondents giving 4, 5, or 6 ratings on scale from 1 not help(hurt) to 6 help(hurt) a lot. Note: Tabled percentages include Don't Know and No Response. a Tabled percentages combine responses of 5, 6, and 7 on 7-point disapproval-approval scale. Note: Percentage Don't Know and No Response in parentheses. Note: N = 430 for tabled correlations, Don't Know and No Response recoded 4 on 1–7 approval scale. Samuel P. Huntington, "The Clash of Civilizations?," Foreign Affairs 72, no. 3 (1993): 22–49. William Rosenau, Waging the "War of Ideas" (Washington, DC: RAND, 2006), http://www.rand.org/pubs/reprints/2006/RAND_RP1218.pdf (accessed 27 November 2009). Pew Global Attitudes Project, The Great Divide: How Westerners and Muslims View Each Other (2006), http://pewglobal.org/reports/display.php?ReportID=253 (accessed 24 October 2007). Karen P. Hughes, "Sinking in the Polls," Washington Post, Monday September 17 (2007), http://www.washingtonpost.com/wp-dyn/content/article/2007/09/16/AR2007091600909.html (accessed 30 May 2011). Christian Leuprecht, Todd Hataley, Sophia Moskalenko, and Clark McCauley, "Narratives and counter-narratives for global jihad: Opinion versus action," in Eelco J. A. M. Kessels (ed.), Countering violent extremist narratives (Breda, The Netherlands: National Coordinator for Counterterrorism (NCTb), 2010), http://english.nctb.nl/Images/Countering%20Violent%20Extremist%20Narratives_tcm92-259489.pdf?cp=92&cs=25496; Christian Leuprecht, Todd Hataley, Sophia Moskalenko, and Clark McCauley, "Containing the narrative: Strategy and tactics in countering the storyline of global Jihad," Journal of Policing, Intelligence and Counter Terrorism 5, no. 1 (2010): 40–55. Christian Leuprecht, Todd Hataley, Sophia Moskalenko, and Clark McCauley, "Winning the battle but losing the war? Narrative and counter-narratives strategy," Perspectives on Terrorism 3, no. 2 (2009): 25–35. (http://www.terrorismanalysts.com/pt/articles/issues/PTv3i2.pdf). Sophia Moskalenko and Clark McCauley, "Measuring Political Mobilization: The Distinction between Activism and Radicalism," Terrorism and Political Violence 21 (2009): 239–260. Emmanuel Karagiannis and Clark McCauley, "Hizb ut-Tahrir al-Islami: Evaluating the Threat Posed by a Radical Islamic Group that Remains Nonviolent," Terrorism and Political Violence 18, no. 2 (2006): 315–334. Zeyno Baran, "The Roots of Violent Islamist Extremism and Efforts to Counter It," Testimony to Committee on Homeland Security and Governmental Affairs, U.S. Senate, July 10, 2008, http://www.investigativeproject.org/documents/testimony/354.pdf (accessed 27 November 2009). Response Rate = R/(U + IS + R). R = In-scope responding units (i.e., Language qualified, available respondent at least 18 years of age); U = Unresolved (i.e., Busy, no answer); and IS = In-scope non responding units (i.e., Respondent not available, refusal). RR = 1230/(903 + 4134 + 1230) = 0.1962. Michael Adams, Unlikely Utopia: The Surprising Truth Triumph of Canadian Pluralism (Toronto: Viking Canada, 2007). Moskalenko and McCauley (see note 7 above). Baran (see note 9 above). Marilyn Brewer, "The Psychology of Prejudice: Ingroup Love or Outgroup Hate?," Journal of Social Issues, 55, no. 3 (1999): 429–444. Mike Mullen, "Strategic Communication: Getting Back to Basics," Joint Force Quarterly, 55, no. 4 (2009): 3, http://www.ndu.edu/inss/Press/jfq_pages/editions/i55/1.pdf (accessed 12 November 2009). Ibid., 4. Mark Tessler and Michael D. Robbins, "What Leads Some Ordinary Arab Men and Women to Approve of Terrorist Acts Against the United States?," Journal of Conflict Resolution, 51, no. 2 (2007): 305–328. Huntington (see note 1 above). Additional informationNotes on contributorsClark McCauley Clark McCauley is affiliated with the Psychology Department, Bryn Mawr College. Christian Leuprecht Christian Leuprecht is affiliated with the Department of Political Science and Economics, Royal Military College of Canada. Todd Hataley Todd Hataley is affiliated with the Department of Political Science and Economics, Royal Military College of Canada. Conrad Winn Conrad Winn is affiliated with COMPAS Public Opinion and Customer Research. Bidisha Biswas Bidisha Biswas is affiliated with the Department of Political Science, Western Washington University.

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Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.521
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.036
GPT teacher head0.303
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it