Keep Your Citizens Close: Building A Policy Framework in Response to Canada’s Returning Foreign Fighters
Bibliographic record
Abstract
This Major Research Paper examines the irregular migration of Canadian citizens who engaged in terrorism abroad, specifically Syria and Iraq, and who are now returning home. The paper examines how they were radicalized into adopting an ideology that stands against the individuals’ home state and how they can be reintegrated once they have returned. The paper acknowledges that this is not the first instance of Canadian foreign fighters, but is the first time where they pose a threat to Canada. Since this threat must be addressed in some way, the paper examines different strategies to mitigate any risk to other Canadian citizens and to counter any future radicalization of Canadian citizens. Keywords: Irregular Migration; Terrorism; Foreign Fighter; Radicalization; Deradicalization; Disengagement
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.008 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.033 | 0.019 |
| Scholarly communication | 0.020 | 0.005 |
| Open science | 0.004 | 0.009 |
| Research integrity | 0.008 | 0.010 |
| Insufficient payload (model declined to judge) | 0.006 | 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".