Fragmentation and Interdependency: Border Security Intelligence in North America and Europe
Bibliographic record
Abstract
Over the past several decades, border security has moved away from a state-centric approach against military incursion from hostile neighbors or other foreign forces and towards a focus on trans-border issues such as terrorist travel, smuggling and trafficking of people and illicit goods, and mass migration flows resulting from external violence and instability. As a result, much of what would be considered border security intelligence is now handled through law enforcement agencies, domestic security and intelligence agencies, and their external security and intelligence agencies, as opposed to agencies focused on military intelligence. This article examines and compares the various agencies with border intelligence responsibilities in North America (The United States and Canada) and Europe (within the Schengen Zone and the United Kingdom). Particular focus is placed on the fragmentation and interdependency of these agencies resulting from their unique political, geographic, and social influences of border security, as well as the various threats and challenges each country faces.
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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 | 0.002 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".