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Record W2043421388 · doi:10.1080/19376812.2014.1003308

Interrogating the technocratic (neoliberal) agenda for agricultural development and hunger alleviation in Africa

2015· article· en· W2043421388 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

VenueAfrican Geographical Review · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsDalhousie University
Fundersnot available
KeywordsTechnocracyFood securityAgricultureGreen RevolutionFood processingEconomic growthWork (physics)Private sectorAgricultural productivityColonialismPolitical scienceEconomicsGeographyEngineering

Abstract

fetched live from OpenAlex

This paper introduces a special issue that critically examines the dominant technocratic, neoliberal agenda for agricultural development and hunger alleviation in Africa. We briefly review the history of African agricultural and food security policy in the post-colonial period in order to contextualise the productionist approach embedded in the New Green Revolution for Africa, a strategy comprising the use of hybrid seeds, fertilisers, and pesticides to boost crop production. This approach is underpinned by a new and unprecedented level of public–private partnerships as donors actively work to promote the private sector and build links between African farmers, input suppliers, agro-dealers, agro-processors, and retailers. On the consumer end, increased supermarket penetration into poorer neighbourhoods is proffered as a solution to urban food insecurity. The papers in the special issue complicate understandings of this new approach and raise serious questions about its effectiveness as a strategy for increasing food production and alleviating hunger across the continent.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.936
Threshold uncertainty score0.292

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.049
GPT teacher head0.244
Teacher spread0.194 · 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