Framing Muslims in the “War on Terror”: Representations of Ideological Violence by Muslim versus Non-Muslim Perpetrators in Canadian National News Media
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.
Bibliographic record
Abstract
This study compared representations of ideological violence by Muslim versus non-Muslim perpetrators in Canadian national news media (the Globe and Mail, National Post, and CBC). Both quantitative and qualitative disparities were examined. Acts of Muslim violence received 1.5 times more coverage, on average, than non-Muslim ones, and thwarted Muslim plots received five times more coverage. Muslim incidents were more likely to be labelled “terrorism” and linked to other episodes of violence, and Muslim perpetrators were more likely to be labelled by their religious and ethno-racial identities. These patterns in representation serve to stabilise the racial formations of the Canadian national security state in the “war on terror”.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it