The ‘terrorism’ frame in ‘neo-Orientalism’: Western news and the Sunni–Shia Muslim sectarian relations after 9/11
Bibliographic record
Abstract
Abstract Sunni–Shia relations have become a topic of significant media attention; this attention is largely due to the tendency of these groups to engage in sectarian strife as well as the Islamic Shia sect’s influential rise in world politics. The inter-Islamic sectarian relations are part of extensive reporting on upheaval events currently taking place in the Greater Middle East in the post 9/11 decade. This study analyses ten years of news coverage of the Sunni–Shia relations in the Canadian Globe and Mail and the US-based Washington Post. Results indicate that rather than contextualizing sectarian tensions between Sunni and Shia Islam, this media coverage overwhelmingly frames the tensions from the ‘war on terrorism’ perspective. This article argues that ‘neo-Orientalist’ discourses and propagandist perspectives have become routinized and more prevalent in the manner in which Western media represents Islam, privileging dominant discourses and ‘war on terrorism’ frames.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".