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Record W2773012205 · doi:10.13169/islastudj.4.1.0072

Can Muslims Fly? The No Fly List as a Tool of the “War on Terror”

2017· article· en· W2773012205 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueIslamophobia Studies Journal · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Security and Public Health
Canadian institutionsnot available
Fundersnot available
KeywordsIslamophobiaTerrorismSecuritizationPoliticsPolitical scienceOrientalismSuspectColonialismWar on terrorPolitical economyMedia studiesSociologyLawHistory

Abstract

fetched live from OpenAlex

The securitization phenomenon is based on a racialized logic that predates 9/11 and has roots in the discourse of Orientalism, the practices of European colonialism and, in the more recent times of the 20th century, the internment of Japanese Canadians during World War II. This article analyzes the “no fly list” as a counter-terrorism tool used by the Canadian government in the “war on terror.” It situates the analysis in the political context of the securitization of Muslims, the social and political processes that construct them as threats to the nation. It examines the evolution of the “no fly list” since 2001 and analyzes its impact on Muslims in Canada, drawing on well-publicized cases. It critiques the list's effectiveness based on the distinction between information and knowledge as tools to fight the “war on terror.” The “no fly list” contributes to Islamophobia through disproportionately profiling racialized Muslim and Muslim-looking passengers as members of a suspect community.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.532
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0080.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.045
GPT teacher head0.367
Teacher spread0.322 · 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