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Record W2074791066 · doi:10.1080/20780389.2010.527685

AFRICAN GROWTH RECURRING: AN ECONOMIC HISTORY PERSPECTIVE ON AFRICAN GROWTH EPISODES, 1690–2010

2010· article· en· W2074791066 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

VenueEconomic History of Developing Regions · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicCulture, Economy, and Development Studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsUnderdevelopmentEconomicsDevelopment economicsInvestment (military)Root causeSlow growthPerspective (graphical)BustMarket economyEconomic growthPolitical science

Abstract

fetched live from OpenAlex

Africa has not suffered a chronic failure of growth. In fact, Africa has experienced recurring periods of growth, and this paper reviews some of these growth “spurts” to substantiate that claim. The immediate cause of low income in Africa is that these “spurts” have always been followed by a ‘‘bust’’. This is a significant reorientation of the central research question – away from a search for the root causes of Africa's underdevelopment and towards explaining the causes and effects of growth and decline. The growth spurts are approached as local responses to a global demand for African produced commodities. In this paper, I shall argue that these supply responses involved more than a reallocation of land and labour; they entailed investment and required institutional change. It is precisely because these periods of rapid economic change and accumulation caused significant qualitative changes in how society and the economy were organized that they cannot be ignored – as they have tended to be in the search for a root cause of Africa's chronic failure to achieve growth.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.837
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.044
GPT teacher head0.268
Teacher spread0.223 · 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