Framing the Western Jihad: A Grounded Theory Analysis of Inspire, Dabiq, and Rumiyah Magazines
Bibliographic record
Abstract
From skilled propagandists to self-trained lone wolf attackers to armies of foreign fighters, so-called homegrown terrorists (or Western supporters of al Qaeda and Daesh) have played important roles in each movement's promotion, development and strategy.This dissertation project uses grounded theory analysis to examine the ways that al Qaeda and Daesh (also known as ISIS, ISIL, or IS) present their respective movements to English-speakers in Western societies.Ten issues of al Qaeda's Inspire, five issues of Daesh's Dabiq and five issues of Rumiyah (Dabiq's successor publication), published between 2011-2017, are studied.The analysis suggests that al Qaeda and Daesh employ three overlapping sets of frames in these English-language magazines.These frames position themselves within broader historical trends, establish their legitimacy as actors, and establish actors and actions (defining enemies, threats, heroes and recommended activities).
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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 | 0.014 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.007 | 0.015 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".