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Department of Energy Efforts to Promote Universal Adherence to the IAEA Additional Protocol

2009· article· en· W22428008 on OpenAlexfundno aff
Mark H. Killinger, Linda Hansen, Don N. Kovacic, Matthew VanSickle, K.E. Apt

Bibliographic record

VenueOSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 2009
Typearticle
Languageen
FieldEngineering
TopicNuclear and radioactivity studies
Canadian institutionsnot available
FundersCanadian Institutes of Health Research
KeywordsRatificationAgency (philosophy)Nuclear weaponProtocol (science)TreatyAtomic energyAction planBusinessPolitical sciencePublic administrationEngineeringLawPoliticsMedicineManagement

Abstract

fetched live from OpenAlex

Entry-into-force of the U.S. Additional Protocol (AP) in January 2009 continues to demonstrate the ongoing commitment by the United States to promote universal adherence to the AP. The AP is a critical tool for improving the International Atomic Energy Agency’s (IAEA) capabilities to detect undeclared activities that indicate a clandestine nuclear weapons program. This is because States Parties are required to provide information about, and access to, nuclear fuel cycle activities beyond their traditional safeguards reporting requirements. As part of the U.S. AP Implementation Act and Senate Resolution of Ratification, the Administration is required to report annually to Congress on measures taken to achieve the adoption of the AP in non-nuclear weapon states, as well as assistance to the IAEA to promote the effective implementation of APs in those states. A key U.S. effort in this area is being managed by the International Nuclear Safeguards and Engagement Program (INSEP) of the U.S. Department of Energy (DOE). Through new and existing bilateral cooperation agreements, INSEP has initiated technical assistance projects for AP implementation with selected non-weapon states. States with which INSEP is currently cooperating include Vietnam and Thailand, with Indonesia, Algeria, Morocco, and other countries as possible future collaborators in themore » area of AP implementation. The INSEP collaborative model begins with a joint assessment with our partners to identify specific needs they may have regarding entering the AP into force and any impediments to successful implementation. An action plan is then developed detailing and prioritizing the necessary joint activities. Such assistance may include: advice on developing legal frameworks and regulatory documents; workshops to promote understanding of AP requirements; training to determine possible declarable activities; assistance in developing a system to collect and submit declarations; performing industry outreach to raise awareness; guidance for reporting export and manufacturing of “especially designed or prepared” equipment listed in AP Annex I/Annex II; and lastly, developing indigenous capabilities to sustain AP implementation. INSEP also coordinates with the IAEA to ensure the harmonization of the assistance provided by DOE and the IAEA. This paper describes current efforts and future plans for AP international implementation support.« less

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 imitation

Not 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.

metaresearch head score (Codex)0.023
metaresearch head score (Gemma)0.039
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.513
Threshold uncertainty score0.694

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.039
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0050.002
Open science0.0050.007
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.5130.245

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 head0.010
GPT teacher head0.225
Teacher spread0.215 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

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
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueOSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)Same topicNuclear and radioactivity studiesFrench-language works237,207