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Strategic Frameworks that Embrace Mutual Accountability for Peacebuilding: Emerging Lessons in PBC and non-PBC Countries

2010· article· en· W1996882406 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 Peacebuilding & Development · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicPeacebuilding and International Security
Canadian institutionsGlobal Affairs Canada
Fundersnot available
KeywordsPeacebuildingSierra leoneAccountabilityPolitical scienceCommissionPublic administrationDevelopment economicsLawEconomics

Abstract

fetched live from OpenAlex

This article examines the use of strategic frameworks in four countries emerging from conflict with a view to understanding the extent to which they have served to contribute to more effective peacebuilding outcomes. Two of the cases examined (Sierra Leone and Burundi) are currently on the United Nations Peacebuilding Commission's agenda, and two (Liberia and Afghanistan) are not, although they both host a United Nations peace mission. Core elements suggested as necessary for strategic frameworks to contribute to better peacebuilding include giving attention to: 1) addressing sources of conflict; 2) strengthening national capacities; 3) promoting coherence, coordination and integration among various actors; and 3) establishing mutual accountability of national and international actors. Comparative findings illustrate the need for more sustained attention to these issues within strategic frameworks in the collective search for sustained peace in conflict-affected countries.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.804
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.002
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 head0.041
GPT teacher head0.369
Teacher spread0.329 · 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