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Pro-poor Economic Development Aid to Haiti: Unintended Effects Arising from the ConflictDevelopment Nexus

2011· article· en· W2025484632 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 · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsNexus (standard)Vulnerability (computing)Development economicsEconomic growthPolitical instabilityPovertyUnintended consequencesWork (physics)PoliticsCapital (architecture)Political scienceEconomicsGeography

Abstract

fetched live from OpenAlex

Poverty reduction has been a prominent and critical goal of Haiti's main international donors, yet they have directed little economic aid to rural areas where a large segment of Haiti's poor live and work. Instead, donors have focused on re-establishing a vibrant urban-based manufacturing sector. While sidestepping agriculture is not a new trend, this paper argues that the policy set employed by donors since 2004 – a conflict and development approach that stresses vulnerability to crime and political instability – has served to reinforce the country's historical bias against rural development. While the 2010 earthquake has provided the impetus to decentralise economic activity, it is too soon to know if and how the rural poor will benefit, particularly given continued security-related concerns associated with the capital region.

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)0.003
metaresearch head score (Gemma)0.000
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 score0.795
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.049
GPT teacher head0.294
Teacher spread0.245 · 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