Border cracks: approaching border security from a complexity theory and systems perspective
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
Presently, U.S. border security endeavors are compartmentalized, fragmented, and poorly coordinated. Moreover, international collaborations are extremely limited; success hinges on effective international cooperation. This thesis addresses U.S. border security management using complexity theory and a systems approach, incorporating both borders and all associated border security institutions simultaneously. Border security research has rarely viewed all stakeholders as a holistic unit up to this point, nor has border security been thoroughly examined using a systems approach. This research scrutinizes the current U.S. border security paradigm in an attempt to determine the systemic reasons why the system is ineffective in securing U.S. borders. Additionally, the research investigates the current level of international cooperation between the United States, Canada, and Mexico. This thesis increases awareness and will possibly create dissent among established agencies, which is the first step in instituting needed changes that will ultimately increase North American security. The thesis contends that the establishment of a tri-nationalUnited States, Canadian, and Mexicanborder security agency, in addition to legalizing drugs and reestablishing a guest worker program, will be more effective and cost-efficient in securing North American borders.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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