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Record W2619131361 · doi:10.5539/jms.v7n2p88

The Non-Sustainability of Rwanda’s Economic Miracle

2017· article· en· W2619131361 on OpenAlexvenueno aff
George B. N. Ayittey

Bibliographic record

VenueJournal of Management and Sustainability · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsnot available
Fundersnot available
KeywordsGenocideEconomic miracleEconomic liberalizationPovertyDevelopment economicsProsperityPolitical sciencePoliticsMillennium Development GoalsPolitical economyEconomic growthEconomicsLaw

Abstract

fetched live from OpenAlex

Emerging out of the horrific spasm of genocide that claimed more than 800,000 of the minority Tutsi ethnic group in 1994, Rwanda has chalked up some spectacular economic performance. Its rate of economic growth has averaged 8% since 2001 and it is among the fastest growing economies in East Africa. Poverty rates have been halved and Rwanda is one of the very few African countries that was able to achieve the United Nations’ Millennium Development Goals (MDGs). It also has the highest representation of women in Parliament.This paper, however, argues that impressive though Rwanda’s economic performance might be, it is not sustainable. First, it is heavily dependent upon foreign aid, making it vulnerable to fluctuations in aid. Second, the Asian Tiger economic model Rwanda copied from Singapore-development under authoritarianism—has failed miserably in postcolonial Africa. No dictator—civilian, military nor rebel—has brought lasting prosperity to any African country. Third, the other types of reform Rwanda needs to sustain its economic achievement—intellectual, political, constitutional and institutional reforms—are petulantly missing. How these reforms are sequenced is also critically important. Focusing only on economic liberalization to the detriment of the other reforms amounts to putting the cart before the horse. Finally and most disconcerting of all, in his understandable zeal to prevent another genocide, Rwanda’s President Paul Kagame is unwittingly re-creating the very conditions that led to the 1994 genocide—a supreme irony.

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)0.004
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.261
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.009
GPT teacher head0.307
Teacher spread0.299 · 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 teacher head, not a consensus.

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

Citations3
Published2017
Admission routes1
Has abstractyes

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