Border Security: Enhanced DHS Oversight and Assessment of Interagency Coordination Is Needed for the Northern Border
Bibliographic record
Abstract
A letter report issued by the Government Accountability Office with an abstract that begins "The challenges of securing the U.S.-Canadian border involve the coordination of multiple partners. The results of the Department of Homeland Security's (DHS) efforts to integrate border security among its components and across federal, state, local, tribal, and Canadian partners are unclear. GAO was asked to address the extent to which DHS has (1) improved coordination with state, local, tribal, and Canadian partners; (2) progressed in addressing past federal coordination challenges; and (3) progressed in securing the northern border and used coordination efforts to address existing vulnerabilities. GAO reviewed interagency agreements, strategies, and operational documents that address DHS's reported northern border vulnerabilities such as terrorism. GAO visited four Border Patrol sectors, selected based on threat, and interviewed officials from federal, state, local, tribal, and Canadian agencies operating within these sectors. While these results cannot be generalized, they provided insights on border security coordination."
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".