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Record W585009328

Bridging Borders: International Crossings in a Post-9/11 World

2007· article· en· W585009328 on OpenAlexaboutno aff
Matthew Robertson

Bibliographic record

VenueProceedings of the Marine Safety & Security Council · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicInternational Maritime Law Issues
Canadian institutionsnot available
Fundersnot available
KeywordsHomeland securityBridge (graph theory)TerrorismBorder SecurityGuard (computer science)Political scienceImmigrationHomelandCoast guardBridging (networking)Public administrationRefugeeInternational tradeLawGeographyComputer securityEnvironmental protectionBusinessPoliticsComputer science
DOInot available

Abstract

fetched live from OpenAlex

Along with a refocused emphasis on immigration issues, the terrorist attacks of September 11, 2001, have redefined the country's outlook on homeland security. This is especially apparent when traveling by air or when crossing international boundaries. Measures such as protecting infrastructure (i.e., bridges) have also been taken to increase security at border crossings. The U.S. Coast Guard's Bridge Administration Program (BAP) is known for its responsibility as delegated by Congress, to approve or deny the locations and plans of new or modified bridges and causeways across navigable waters of the United States. Lesser known is the program's responsibility regarding bridges and causeways that cross international borders between Mexico, the United States, and Canada. Under the International Bridge Act of 1972, the Coast Guard was charged to partner with the Department of State to solve technical matters regarding the preparation of environmental documents for international bridges. This article discusses the international coordination/cooperation and challenges involved in securing the permits for international bridge design and navigational clearances under the BAP.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.319
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.009
GPT teacher head0.231
Teacher spread0.223 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2007
Admission routes1
Has abstractyes

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