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Record W2036134226 · doi:10.1386/macp.1.1.15/3

‘War talk’ engendering terror: race, gender and representation in Canadian print media

2005· article· en· W2036134226 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

VenueInternational Journal of Media and Cultural Politics · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Security, and Conflict
Canadian institutionsConcordia University
Fundersnot available
KeywordsGender studiesGlobeMedia studiesImmigrationSociologyAdversaryOrientalismRepresentation (politics)Political scienceHistoryLawPoliticsPsychology

Abstract

fetched live from OpenAlex

Discourses of war centre on the objectification of the enemy and utilize Manichean oppositions to promote an explanation of events which make ‘common sense’ (Cooke and Woollacott 1993). In the aftermath of the events of September 11, 2001, with the collapse of the World Trade Center towers in New York City, those discourses assumed a heightened Orientalist mantle, coloured by the geographic, religious and cultural nature of the perceived enemy. In this short essay, I examine how the news media, and in particular, print media, covered the events of September 11, 2001.1 My focus is on the Canadian print media - The Gazette , a Montreal English daily, and The Globe and Mail , one of Canada’s two national papers. Both these papers play a pivotal role in shaping the ‘imagined community’ (Anderson 1983) that is Quebec and Canada, but more importantly, both are highly influential in shaping policy towards immigrants and cultural minority groups in the provincial and national landscape (Fleras and Kunz 2001). The analysis that follows is undoubtedly influenced by my standpoint (Durham 1998), as a woman, a Canadian of immigrant origins and as Muslim - a religious affiliation rendered salient because of its shared character with that of the ‘enemy’. In the sections that follow, I pay particular attention to the issue of gender - how it underpins, informs and shapes the discourses of war and how in so doing, it engenders terror such that the latter assumes a specific type of fear with differential repercussions for women and men.

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)0.000
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 score0.507
Threshold uncertainty score0.976

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.050
GPT teacher head0.344
Teacher spread0.294 · 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