Xenophobia, the global war on terror, and refugee policy in the United States, Canada, and Western Europe
Bibliographic record
Abstract
Xenophobia has oscillated in intensity in the United States, Canada, and Western Europe since the late eighteenth century. This pattern of fear of immigrants and refugees being harbingers of violence and criminal activity establishes itself throughout the modern history of the United States, Canada, and Western Europe despite much evidence to the contrary. In the twentieth century, the prevailing argument surrounding the creation of xenophobia centered around economics. This divergence from twenty-first century patterns can be attributed to the Global War on Terror increasing alienation of refugees and immigrants through mythmaking and the structural securitization of immigration in the United States, Canada, and Western Europe. In these states, xenophobia, particularly Islamophobia, has continued to rise among both governments and individuals since September 11th through the misuse of popular culture, security rationalization, and the making of terrorism into a unified enemy. This paper will look primarily at the effects of the unintended consequences of the Global War on Terror increasing xenophobia and Islamophobia on U.S., Canadian, and European refugee policy.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.018 | 0.008 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".