Nuclear High Altitude Electromagnetic Pulse - Implications for Homeland Security and Homeland Defense
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
The detonation of a nuclear weapon at an altitude of approximately 500 kilometers over the United States will generate a near-continental scale high altitude electromagnetic pulse (HEMP). The effects of such an attack may instantaneously destroy or disrupt substantial portions of the electrical and electronic systems that operate the critical infrastructure of the United States as well as portions of Canada and Mexico. Those interested in the efforts to ensure an effective homeland defense and homeland security effort should understand the implications of a successful HEMP attack on the United States the factors that influence the probability of an attack and continuously seek innovative ways to prevent such an attack from ever occurring and simultaneously to prepare for it if preventative efforts should fail. This paper describes what an electromagnetic pulse (EMP) is and how a nuclear weapon creates a HEMP. Next a brief description of the effect of a HEMP attack on eleotnoal and electronic systems is followed by an overview of the implications of the failure of these systems on the nation's critical infrastructure and elements of national power. A discussion of the risks of such an attack caused by nuclear and ballistic missile proliferation will be followed by an overview of the on-going contributions of the existing National Security Strategy and National Strategy for Homeland Security to prevent and prepare for a HEMP attack. This paper will conclude with some broad recommendations to strengthen the United States capabilities to prevent and simultaneously prepare to mitigate and recover from the effects of this ultimate form of asymmetric attack.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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 it