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Record W1742063510 · doi:10.1080/00083968.2014.943135

An obscured revolution? USAID, the North Shaba Project, and the Zaïrian administration, 1976–1986

2014· article· en· W1742063510 on OpenAlexvenueno aff
Reuben Loffman

Bibliographic record

VenueCanadian Journal of African Studies / Revue canadienne des études africaines · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican history and culture studies
Canadian institutionsnot available
FundersUnited States Agency for International Development
KeywordsColonialismRhetoricAgriculturePolitical scienceSociologyEconomic growthHistoryArchaeologyEconomicsLaw

Abstract

fetched live from OpenAlex

This article examines a major instance of United States' (US) involvement in Zaïre during the 1970s and 1980s. The paper looks at an under-studied rural development scheme, known as the North Shaba Project/Projet du Nord Shaba (PNS), which was funded by USAID from 1976 to 1986.The PNS increased maize exports from northern Shaba (Katanga) to central and southern cities in the province and aimed to curtail workers’ discontent by providing cheap food for them. Its quantitative successes and “bottom-up” rhetoric led USAID officials to call the PNS an “obscured revolution”. Unlike its colonial precedents and its post-colonial contemporaries, the project attempted to integrate village farmers’ expertise in order to drive production and provide an opportunity to change existing patterns of “top-down” development. Yet, although anthropologists facilitated some significant intercultural exchanges, the project did not wholly rely on local farming techniques. Instead, the PNS's major outcome was to briefly address the Zaïrian regime's neglect of agricultural production, thus helping it survive despite the financial pressures it was under during the 1970s and the 1980s.

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 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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.929
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0050.006
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.033
GPT teacher head0.264
Teacher spread0.231 · 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; both teacher heads agree on what is shown here.

Study designQualitative
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

Citations3
Published2014
Admission routes1
Has abstractyes

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