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Record W3025355869 · doi:10.1177/0020702020915209

Doing less with less? Peacekeeping retrenchment and the UN's protection of civilians agenda

2020· article· en· W3025355869 on OpenAlexaff
Timothy Donais, Eric Tanguay

Bibliographic record

VenueInternational Journal Canada s Journal of Global Policy Analysis · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicPeacebuilding and International Security
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsPeacekeepingCredibilityLegitimacyPolitical scienceExpansiveSecurity sector reformPublic administrationWork (physics)State (computer science)LawPoliticsEngineering

Abstract

fetched live from OpenAlex

The United Nations (UN) Secretary-General António Guterres’s Action for Peacekeeping initiative represents the latest in a series of efforts to make the UN’s peace and security architecture “fit for the future.” The Action for Peacekeeping initiative, however, has exposed two seemingly contradictory tendencies at work in contemporary peacekeeping. On the one hand, peacekeeping operations are increasingly expected to be lean, efficient, and performance-focused. On the other, expansive protection of civilians (PoC) mandates, which entail everything from predicting and pre-empting attacks against civilians to reforming state-level security institutions, are becoming increasingly central to contemporary peacekeeping. In this paper, we will suggest that as currently framed, the UN’s peacekeeping reform agenda—driven at least in part by downward budgetary pressures—will inevitably increase the gap between promise and performance with regard to PoC, with serious implications for the credibility and legitimacy of UN missions among the populations they are mandated to protect.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.676
Threshold uncertainty score0.399

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.021
GPT teacher head0.301
Teacher spread0.280 · 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 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

Citations21
Published2020
Admission routes1
Has abstractyes

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