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Record W7017245292

The alluvial diamond industry : a critical analysis of the capital cost allowances

2013· dissertation· en· W7017245292 on OpenAlexaboutno aff

Bibliographic record

VenueUpSpace Institutional Repository (University of Pretoria) · 2013
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics, Bioinformatics, and Biomedical Research
Canadian institutionsnot available
Fundersnot available
KeywordsCapital (architecture)Capital gains taxLegislationPaymentDiamondTreasuryAlluviumTransaction costWithholding taxInvestment (military)
DOInot available

Abstract

fetched live from OpenAlex

The purpose of the study was to critically analyse sections 15 and 36 of the South African Income Tax Act which deals with capital allowances for mining taxpayers from an alluvial diamond miners’ perspective. The South African analysis was also compared to that of Canada and Namibia. In the analysis it was found that the ring fencing provisos in section 36 is unfair towards the alluvial diamond mine due to the potential loss of capital cost allowances and that there are grey areas in this proviso that may lead to disputes between SARS and the taxpayer. It was also found that the cross over from prospecting to mining activities in relation to alluvial diamond mining presents a grey area which might lead to disputes between the tax payer and SARS. It was also found that there is no case law, SARS interpretation notes or practise notes on the application of these sections to provide certainty as to the tax payers’ position. It was recommended that SARS and treasury evaluate and address the identified grey areas and short comings in the current legislation and practises to ensure a fair and equitable tax dispensation for the alluvial diamond miners. Copyright

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.099

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.004
Science and technology studies0.0030.005
Scholarly communication0.0070.004
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.010
GPT teacher head0.254
Teacher spread0.243 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2013
Admission routes1
Has abstractyes

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