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Record W4293052162 · doi:10.26806/modafr.v10i1.416

Village Projects Observed in Eritrea: Post-Conflict Pathways towards Democratic Rural Development

2022· article· en· W4293052162 on OpenAlexaff
Gregory S. Cameron

Bibliographic record

VenueModern Africa Politics History and Society · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican history and culture analysis
Canadian institutionsDalhousie University
Fundersnot available
KeywordsTechnocracyAutonomyEconomic growthSovereigntyPoliticsDemocracyState (computer science)Political scienceNational developmentRural developmentPublic administrationGeographyEconomicsAgriculture

Abstract

fetched live from OpenAlex

Eritrea’s rural development trajectory has fallen short of fully meeting the basic needs of its peasants and pastoralists, let alone national food security objectives. This article builds on earlier research on rural development projects in a select number of villages. These projects were primarily characterised by a state-centric technocratic logic that did, to some degree, embed “hard” infrastructure in the villages, but which paid less attention to building village-level capacity or organisational autonomy. Looking beyond these impasses, the present article suggests an inward-oriented national development model centred on the home market, rural co-operatives, and food sovereignty. As yet ‒ at the time of writing ‒ another major war afflicts Eritrea and Ethiopia, the presence of the political will for such a transition is by no means guaranteed.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.005
Scholarly communication0.0030.001
Open science0.0010.006
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.057
GPT teacher head0.235
Teacher spread0.179 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2022
Admission routes1
Has abstractyes

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