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Record W2346439280 · doi:10.5539/ibr.v9n7p24

President Jacob Zuma and South Africa’s Financial Crisis: A Machivellian Debacle

2016· article· en· W2346439280 on OpenAlexvenueno aff
Anis Mahomed Karodia, Paresh Soni

Bibliographic record

VenueInternational Business Research · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic, financial, and policy analysis
Canadian institutionsnot available
Fundersnot available
KeywordsFinancial crisisPower (physics)Position (finance)EconomicsPolitical scienceSociologyEconomic historyLawFinanceKeynesian economics

Abstract

fetched live from OpenAlex

<p>The paper is a continuation of a research article published in the same journal in the month of March, 2016. A new dimension has now entered the equation in terms of the fiscal and economic quagmire and, crisis that, South Africa is confronted with. The paper argues President Jacob Zuma’s (South African President) Machiavellian tendencies in respect of moving from one blunder to another by removing the capable and performing Minister of Finance, Nene and replacing him with a novice in the form of David Desmond van Rooyen, a Parliamentary backbencher, and without any tangible experience. Former Finance Minister Pravin Gordhan was recalled as Finance Minister having served in this position from May 2009 to May 2014. This was a blunder of gigantic proportions. South Africa therefore had three Ministers of Finance within one week. The paper will attempt to unpack these and many other issues in this article which adds to the woes of South Africa’s economic and fiscal crisis. Technically, the paper will argue that the Machiavellian President scorns the economy and, is obsessed with power at any cost.</p>

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.433
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.091
GPT teacher head0.308
Teacher spread0.217 · 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 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

Citations2
Published2016
Admission routes1
Has abstractyes

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