U.S. Refugee Policy In The Era Of Homeland Security: A Comparative Government Analysis
Bibliographic record
Abstract
U.S. immigration and refugee policy reform has stalled due to competing national narratives. Claims that refugees harm the U.S. economy and national security are in direct conflict with the country's historical national identity and values, and this is apparent in the public discourse. This thesis explores the validity of these claims and provides a comparative analysis with Canada and Germany, both of which are democratic Western societies facing similar issues. It answers the question of what U.S. policy makers can learn from the refugee policies of Canada and Germany and makes 11 recommendations for the United States based on this analysis. This thesis finds the claims that refugees negatively impact a country's economy and national security in the United States, Canada, and Germany to be unfounded. Basing U.S. refugee policy on unfounded claims harms U.S. standing and credibility in the international community as well as deprives it of the economic and safety benefits of admitting and properly integrating refugees into U.S. society.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".