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Record W2810156773 · doi:10.1177/0022343318775784

Peacekeeping for profit? The scope and limits of ‘mercenary’ UN peacekeeping

2018· article· en· W2810156773 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Peace Research · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDefense, Military, and Policy Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPeacekeepingProfit (economics)ReimbursementSoftware deploymentNarrative reviewFor profitScope (computer science)NarrativePolitical sciencePoliticsBusinessEconomicsFinancePublic administrationMedicineLawComputer scienceHealth careMicroeconomics

Abstract

fetched live from OpenAlex

Abstract Developing states furnish the vast majority of UN peacekeeping troops, a fact academics and policymakers often attribute (at least partly) to developing states’ supposed ability to derive a profit from UN peacekeeping reimbursements. In this article, we argue that this ‘peacekeeping for profit’ narrative has been vastly overstated. The conditions for significantly profiting from UN peacekeeping are in fact highly restrictive, even for developing states. We begin by highlighting two potent reasons for re-examining the peacekeeping for profit narrative: developing states emerged as the UN’s principal troop contributors in a period of stagnant reimbursement rates when UN peacekeeping was becoming less financially attractive; and the quantitative evidence scholars have presented as supporting the peacekeeping for profit narrative is flawed. We then identify the scope conditions within which peacekeeping for profit provides a plausible explanation for a developing state’s UN troop contributions. First, the deployment and its attendant reimbursements must be significant not only in absolute and per-soldier terms but also in relation to the state’s total armed forces and military expenditure. Second, the state must have an exceptional ability, compared with other troop contributors, to benefit from UN reimbursements. The scope for generalized profit-making from either equipment or personnel contributions is limited by intense political pressure against reimbursement rate increases. Individual states can nevertheless make a profit if they (1) invest in inexpensive and old but functional equipment, especially if deployed with usage restrictions, and/or (2) limit the deployment allowances (rather than salaries) they pay their peacekeepers. We establish that only a limited subset of developing states meets the plausibility conditions for the peacekeeping for profit narrative – and many top UN troop contributors do not.

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.

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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.288
Threshold uncertainty score0.376

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.253
GPT teacher head0.398
Teacher spread0.145 · 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