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Record W7043391203

Strategic mobility, the Force Projection Army, and the Ottawa Landmine Treaty: can the Army get there?

2001· other· en· W7043391203 on OpenAlexaboutno aff

Bibliographic record

VenueIke Skelton Combined Arms Research Library (CARL) Digital Library (US Army Combined Arms Center) · 2001
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsTreatyDeterrence theoryDoctrineConventionSovereign stateNational securityOrder (exchange)Military doctrineUnexploded ordnance
DOInot available

Abstract

fetched live from OpenAlex

Current and emerging United States Army doctrine places great emphasis on the concepts of strategic responsiveness and force projection to meet the National Security Strategy requirements. The use or potential use, of landmines significantly increases the lethality of the Army force during deterrence and combat operations, and enhances survivability. In essence, with the use of landmines, the U.S. Army achieves an economy of force that in effect increases the U.S. Army’s agility, versatility and ability to deploy. Smaller more deployable Army forces such as the medium brigade and light units can generate more combat power by using the effects provided by landmines integrated with other combat systems. However, in order to use landmines worldwide, the U.S. must move, store, or reposition landmines in, through, or to the theater and area of operations prior to, concurrently, or in conjunction with the deploying Army force. Movement of forces, material, and equipment across international borders and into sovereign nations requires the permission of those nations, or a conscious decision to violate international laws and conventions regarding sovereignty. The Convention on the Prohibition of the Use, Stockpiling, Production and Transfer of Anti-personnel Mines and their Destruction – also known as the Ottawa Landmine Treaty – has the potential to place severe limits on the United States ability to deploy forces. The Ottawa Landmine Treaty (OLT) prohibits signatory countries from using, developing, producing, acquiring, stockpiling, or transferring anti-personnel landmines. As more countries sign and ratify the OLT, and create internal laws that enforce it, the number of countries that will allow a force that trains, plans, and intends to employ anti-personnel landmines as a matter of course to enter, pass through or over its sovereign territory has the potential to significantly decrease. The location, national strategy, and strategic alliances of non-signatory countries may or may not support a strategic deployment of a United States Army force. This may have a significant affect on the ability to project credible and lethal U.S. Army forces worldwide. This study examines the question: Does the Ottawa Landmine Treaty significantly affect the strategic responsiveness of the force projection Army? Beginning with a review and analysis of the treaty language, this study examines the United States policy on anti-personnel landmines and its origin, the concepts of force projection and strategic responsiveness, and two recent force projection operations involving United States Army forces. This review and assessment leads to two potential forms of the treaty in the future: status quo and restrictive. Analysis of the impact of the status quo and restrictive Ottawa Treaty scenarios on the seven attributes of the strategically responsive Army leads to the conclusion that the OLT has a moderate impact on the ability to project Army forces worldwide. There is, however, the potential for a significant impact on force projection at the regional and individual country level. The altruistic aims of individual countries appears to have greater affect on the ability to project force than either the status quo or restrictive Ottawa Treaty scenarios. \n

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.315
Threshold uncertainty score0.633

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0070.012
Scholarly communication0.0070.005
Open science0.0010.003
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0110.002

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 head0.027
GPT teacher head0.268
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2001
Admission routes1
Has abstractyes

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