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Record W2802071695 · doi:10.1177/0020702017740158

Since you left: United Nations peace support, private military and security companies, and Canada

2018· article· en· W2802071695 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal Canada s Journal of Global Policy Analysis · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicMilitary and Defense Studies
Canadian institutionsCanadian Forces College
Fundersnot available
KeywordsPrivate securityPolitical sciencePrivate sectorInternational securityPeacekeepingNational securityPublic administrationEconomic growthPolitical economyLawSociologyEconomics

Abstract

fetched live from OpenAlex

In the late 1990s when Canada was largely removing itself from United Nations peace support endeavours, private military and security companies were heralded as likely replacements. Canada has indicated its desire to reengage in a United Nations peace support milieu in which there is now a private military and security presence. It is not the type of presence initially envisioned, but it is one with multiple impacts regarding training and operations. This article emphasizes the interventions in the first decade of the twenty-first century and the corresponding, defensively minded regulations that came about in the private military and security industry. The article reveals that commercial logics are now insinuated in United Nations peace support operations and the private military and security presence therein is indicative of a larger shift in United Nations activities towards insularity and protection.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.366
Threshold uncertainty score0.968

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
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 head0.010
GPT teacher head0.299
Teacher spread0.289 · 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