Bibliographic record
Abstract
What is being done to counter threats of maritime terrorism and how effective are the safeguards? The author presents evidence that Al-Qaeda aims to disrupt the seaborne trading system, the backbone of the model global economy, and would use a crude nuclear explosive device or radiological bomb to do so if it could obtain one and position it to go off in a port-city, shipping strait or waterway that plays a key role in international trade. Improving maritime trade is especially important for the US and Canada, member states of the EU, Australia and New Zealand and for China, Japan and South Korea, Thailand, Malaysia and other East Asian economies that have extensive direct seaborne trade. It is doubly vital for places like Singapore, Hong Kong and Rotterdam that are not only very large global seaports but also giant giant container transshipment hubs. This book discusses some major threats to seaborne trade and its land links in the global supply chain, their potential impact and the new security measures in place or pending for ships, ports and cargo containers, and recommendations for preventing or handling a catastrophic terrorist attack designed to disrupt world trade.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.066 | 0.029 |
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 source (direct Gemma or distilled Codex), 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".