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Record W7103261173

Argentina

2009· article· W7103261173 on OpenAlexaboutno aff

Bibliographic record

VenueJMU Scholoraly Commons (James Madison University) · 2009
Typearticle
Language
FieldSocial Sciences
TopicNuclear Issues and Defense
Canadian institutionsnot available
Fundersnot available
KeywordsSovereigntyGovernment (linguistics)Unexploded ordnanceState (computer science)Sovereign state
DOInot available

Abstract

fetched live from OpenAlex

At the heart of the Argentine landmine/ unexploded ordnance issue is a territorial dispute between Argentina and the United Kingdom. Argentina acknowledges that contamination exists in the U.K.-occupied Falkland Islands (Islas Malvinas), 480 kilometers (300 miles) off the South American country’s coast. However, the government challenges British claims to the islands, and has asserted its sovereign rights over not only the Falklands, but also South Georgia, the South Sandwich Islands and surrounding areas. The Falkland-Malvinas Islands were mined by both Argentine and British forces during the 1982 conflict between the two nations. Because both nations claim sovereignty over the contaminated areas, both share responsibility in complying with the Ottawa Convention’s guidelines for mine clearance. According to a Cranfield University field survey of the Islands, Argentine forces laid approximately 20,000 anti-personnel and 5,000 anti-vehicle landmines during the conflict.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.610
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.023
GPT teacher head0.264
Teacher spread0.241 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2009
Admission routes1
Has abstractyes

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