Port and Navigation Infrastructure Development to Support U.S. Strategic Interests
Bibliographic record
Abstract
Abstract : Economic prosperity in the United States depends on trade with other nations. International trade accounts for a quarter of America s Gross Domestic Product with 95 percent of cargo traded being shipped through one of the nation s seaports. With economic globalization, the ability to transport goods becomes increasingly important to maintaining the U.S. status as a world power. The shipping industry is evolving to larger ships with greater capacity and efficiency to meet increasing global demands, requiring changes to port infrastructure. While countries in Asia and Europe are investing heavily in port infrastructure in preparation for future requirements, the U.S. has reduced spending in this area. Completion of the Panama Canal expansion in 2014 will further altering shipping patterns, creating increased demand on East Coast ports. Although the nation faces fiscal challenges, it needs a national strategy that promotes greater port development if it is to meet future demand. The U.S. must increase spending on infrastructure to keep current with transportation needs and establish systems that prioritize national infrastructure investments, supporting trade and economic policy. It must revise laws to allow greater use of existing funding for port development and update port standards to meet current shipping industry needs.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".