A comparative analysis of Canadian and Swedish foreign fighters
Bibliographic record
Abstract
While there is a substantial research literature on Western ‘foreign fighters’ – those young men and women from Europe, North America, Australia and elsewhere who traveled to Syria and Iraq, from around 2011–2017, to join jihadist groups engaged in combat – there is a dearth of comparative studies examining the backgrounds of these fighters. National variations in the levels of recruitment have been measured and samples examined to determine the demographics of these fighters, indicating some national variations in who went, how, and maybe why. More fulsome comparative data is needed, however, to detect and measure such differences to gain insight into the factors conditioning the radicalization of these foreign fighters. Calling on original and unique datasets, this study presents the results of a comparative analysis of Canadian and Swedish foreign fighters. In each case the findings are compared with other domestic jihadists as well to delineate if those drawn to fight in Syria and Iraq differ. Clear differences emerge in the basic demographics of these national samples, highlighting some empirical and interpretive issues in need of further analysis.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.010 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".