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Record W1549947129

An Inquiry into the nature, causes and distribution of wealth in the Cape Colony, 1652-1795

2012· dissertation· en· W1549947129 on OpenAlexaboutno aff
Johan Fourie

Bibliographic record

VenueData Archiving and Networked Services (DANS) · 2012
Typedissertation
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCapeFrontierSettlement (finance)ProbatePopulationDistribution (mathematics)Human settlementSubsistence agricultureGeographyEconomyVariety (cybernetics)EconomicsDevelopment economicsPolitical scienceSociologyPaymentArchaeologyDemographyAgricultureLaw
DOInot available

Abstract

fetched live from OpenAlex

Three important questions about the Dutch Cape Colony are investigated in this dissertation: 1) how affluent were Cape settlers, 2) what were the causes of such wealth, and 3) how was the wealth distributed? Using a variety of statistical sources, most notably the detailed probate inventories and auction rolls kept and preserved by the Dutch East India Company and now digitised by Cape historians, and empirical techniques common in the field of economics, I find results that differ from the consensus view that the eighteenth century Cape was an economic backwater, a colony where pockets of wealth withered against a continuously expanding subsistence frontier region. The evidence instead points to an extremely wealthy settler society, with little evidence that these high levels deteriorated significantly even as the population increased rapidly. This dissertation’s first contribution is therefore to offer a significantly different view about the economic past of South Africa’s earliest European settler community. The second contribution of this dissertation is to offer new perspectives on the causes of growth within a settler society. Both demand and supply played important roles. The demand created by the ships travelling past Cape Town offered a captive market for Cape goods, akin to the Staples thesis proposed for Canadian exports by Harold Innes. On the supply side, I show that a colony’s development trajectory is influenced not only by the location-specific factors of its settlement, as suggested by existing comparative development theories, but also by the settlers’ regions of origin, which can influence the production function. Thirdly, I show that the unique mercantilist institutions imposed by the Dutch East India Company – notably its insistence on reducing costs to ensure farmer viability in the face of the low, non-market prices of the Company – resulted in a highly skewed distribution of settler wealth. Settlers’ investment incentives favoured slavery, which exacerbated the high levels of inequality in Cape society. The highly unequal distribution of wealth would have negative consequences for the Colony’s long-run growth prospects.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.568
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.029
GPT teacher head0.276
Teacher spread0.247 · 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.

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

Citations3
Published2012
Admission routes1
Has abstractyes

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