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Record W209309825

Saving Lives with Force: An Agenda for Expanding the ACRI. (the Military Component)

2002· article· en· W209309825 on OpenAlexaboutno aff
Michael O’Hanlon

Bibliographic record

VenueJournal of international affairs · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Peace and Security Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsPeacekeepingFamineInternational communityPolitical economyPolitical scienceState (computer science)Argument (complex analysis)Human rightsLawDevelopment economicsSociologyPoliticsEconomics
DOInot available

Abstract

fetched live from OpenAlex

international community can and must do better. Rather than thinking in terms of a 5,000-person UN force, the international community should develop capacity to deploy at least 100,000 more troops abroad. Several hundred thousand people continue to lose their lives each year due to the direct effects of civil conflict, war-related famine and disease. This number has not markedly increased since the end of the Cold War, nor has it declined. These wars have an obvious and tragic toll in lost human lives--with most of the dead being innocent noncombatants. The wars have other costs as well: They provide terrorist groups with havens, as in Afghanistan throughout most of the last decade, and with motivating causes, as in many parts of the Middle East. They do much to keep large segments of Africa and certain other parts of the world mired in misery and economic stagnation. Moreover, these wars undercut the US argument that democracies truly protect and promote human rights. The world is essentially run and dominated by the industrial democracies, and their apparent indifference to many such conflicts weakens their moral authority and international legitimacy as global leaders. What can be done to reduce the prevalence and severity of such wars? Traditional peacekeeping in Kashmir, Cyprus and the Sinai has a role. So does the more comprehensive approach--involving not only peacekeeping but also election monitoring, demilitarization and state building--that has been applied in places such as Cambodia, Mozambique, Haiti and the Balkans. Despite many assertions to the contrary, most or all of these missions have achieved at least partial success in the sense that intervention probably made conditions better than they otherwise would have been. However, missions in Angola and Rwanda were outright and major failures, in that bloodshed intensified after the deployment of UN troops. Moreover, the world's failure to intervene in places such as the Sudan and Liberia means that the international community deserves no more than a low passing grade for its humanitarian military efforts in the first post-Cold War decade. Traditional policy tools such as neutral peacekeeping, preventive action, economic aid and other softer approaches all have important roles, but they are insufficient by themselves. In some cases, wars are already underway, making it impractical to carry out preventive action or to provide much development assistance. In other cases, peacetime political and economic conditions are so poor that aid is wasted, misdirected or ineffectual. Neutral peacekeeping does not always work, either. Advocates of separating militias and disarming combatants must realize that in many, if not most, cases, militias and combatants will not wish to be separated or disarmed--and would not assent to such operations if asked. Their weapons provide routes to power and wealth, and antagonists often have no interest in giving them up or in disengaging from combat operations. If the global community needs more capacity for humanitarian intervention, should that job be given to the United Nations? Some would say yes. For example, it is commonly argued that a small UN standing force could make a meaningful difference in reducing civil conflict around the world. Proponents often cite a goal of 5,000 troops, motivated in large part by the claim of Canadian General Romeo Dallaire that such a capability, if added to his small UN force in Rwanda in 1994, could have stopped the genocide there. However, Rwanda is a small country that is not representative of many of the places where civil conflict erupts. Although there is little doubt that General Dallaire would have used 5,000 more troops bravely and with some effectiveness, it appears a low estimate even for Rwanda. Had such forces run into trouble, the international community would have needed to bail them out. …

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.154
Threshold uncertainty score0.385

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.028
GPT teacher head0.312
Teacher spread0.284 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations2
Published2002
Admission routes1
Has abstractyes

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