The Use and Misuse of ‘National Security’ Rationale in Crafting U.S. Refugee and Immigration Policies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Since the terrorist attacks of 11 September 2001, U.S. immigration and refugee policy has developed based on narrow and evolving theories of ‘national security’. Immigration reform legislation, federal regulations, and administrative policy changes have been justified in terms of the nation’s safety. On 1 March 2003, the U.S. Immigration and Naturalization Service (INS) was folded into the massive new U.S. Department of Homeland Security (DHS), formally making immigration a homeland defense concern. Counterterror and immigration experts increasingly agree on what constitute effective and appropriate immigration policy reforms in light of the terrorist threat. Unfortunately, many of the post-September 11 policy changes do little to advance public safety and violate the rights of refugees and asylum seekers. These include reductions in refugee admissions, the criminal prosecution of asylum seekers, the blanket detention of Haitians, and a safe third-country asylum agreement between the United States and Canada. Other measures offend basic rights and may undermine counterterror efforts. These include ‘preventive’ arrests, closed deportation proceedings, and ‘call-in’ registration programs. This article reviews post-September 11 U.S. policy developments based on their impact on migrant rights and their efficacy as counterterror measures. It argues for a more nuanced and rigorous sense of ‘national security’ in crafting refugee and immigration policy.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it