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Record W4407590060 · doi:10.1002/pad.2091

Localization Through Coordination? Implementing the Humanitarian‐Development‐Peace Nexus in the Democratic Republic of the Congo

2025· article· en· W4407590060 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePublic Administration and Development · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicPeacebuilding and International Security
Canadian institutionsUniversity of Ottawa
FundersMinistère de la Défense NationaleUniversity of Ottawa
KeywordsNexus (standard)DemocracyPolitical scienceDevelopment economicsPublic administrationEconomic systemPolitical economySociologyLawEconomicsPoliticsEngineering

Abstract

fetched live from OpenAlex

ABSTRACT As a global concept and initiative, the Humanitarian‐Development‐Peace Nexus (HDPN) aims to improve integration across the traditionally siloed humanitarian, development, and security sectors, while foregrounding the involvement of local actors. Using original empirical data on the implementation of the HDPN in the Democratic Republic of the Congo (DRC), we show how and why the approach has not delivered substantive localization in the Congolese context. In the DRC, nexus implementation has replicated gaps and inequalities between the national and provincial levels. This manifests in two ways: a persistent functional disconnect between work at the national and the provincial levels, and a substantive disconnect in the form of an inability of national‐level actors to leverage an organic nexus already found at the provincial level. Our analysis raises important questions about the compatibility of coordination and substantive localization.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.918
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
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 head0.041
GPT teacher head0.343
Teacher spread0.302 · 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