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Record W2065905361 · doi:10.1080/15423166.2015.1010987

Bringing the Local Back In: Haiti, Local Governance and the Dynamics of Vertically Integrated Peacebuilding

2015· article· en· W2065905361 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 · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicPeacebuilding and International Security
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsPeacebuildingTransformative learningPolitical scienceCorporate governancePoliticsRegional integrationPublic administrationSociologyPolitical economyLawManagementEconomics

Abstract

fetched live from OpenAlex

In recent years, ‘the local’ has moved to the forefront of the contemporary peacebuilding debate, as evidenced both by growing scholarly interest in ‘the local turn’ in peacebuilding and by the emphasis on legitimate, inclusive politics in policy discussions surrounding the New Deal for Engagement in Fragile States. What is less clear, however, is how community-level peacebuilding activities can be effectively integrated with longstanding efforts to build peace by building viable, accountable state-level institutions; there remains, in other words, a conceptual and empirical gap between top-down and bottom-up peacebuilding processes. This article draws upon a case study of community-level peacebuilding and violence reduction in the urban slums of the Haitian capital of Port-au-Prince to illustrate the importance of vertical integration for sustainable peacebuilding. It argues that in the absence of explicit linkage — in particular through local-level institutions of governance — with broader statebuilding processes, community-based peacebuilding efforts may ultimately prove to be more palliative than transformative.

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)0.007
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 score0.641
Threshold uncertainty score0.486

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
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 science0.0010.000
Research integrity0.0000.001
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 head0.020
GPT teacher head0.279
Teacher spread0.259 · 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