International Relations and political violence: A study of the causes of domestic Jihadist violence in a transatlantic context
Bibliographic record
Abstract
Two decades after the 9/11 attacks, homegrown jihadist violence (HJV) in the West has almost disappeared, but the causes and conditions fomenting the phenomenon have not changed much. In this paper, I argue that, despite the security services’ ability to physically destroy the structures and networks of HJV in separate national contexts, the spectre of HJV is haunting theWest as a transnational problem. Dealing effectively with this problem requires a comprehensive understanding of the root causes of HJV and its cross-level and transnational origins. This paper examines such causes through the lens of International Relations’ levels of analysis, which allows us to categorize and explain those causes at individual, group, and international levels. The paper seeks to add new insight to the HJV literature and, at the same time, provide a pre-theoretical basis for a broader debate on the causes of this global security problem.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.008 | 0.011 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".