Deductibility of interest on the acquisition of shares when restructuring a business : alternatives for South Africa / Lizette Niemand.
Bibliographic record
Abstract
Funding requirements is one of the first criteria to consider when restructuring a business. Companies and taxpayers would choose the best option when acquiring shares to minimise tax liabilities. The purpose of this study is to formulate an interest deductibility test which provides guidance to taxpayers regarding the main criteria to investigate when restructuring a business transaction to ensure that interest will be deductible on the acquisition of shares with borrowed funds. The findings reveal the similarities and differences of the interest deductibility as seen by South Africa, Australia and Canada. This study will present the legislation as well as court cases in South Africa, Australia and Canada to demonstrate the interest deductibility principles when funds are borrowed to acquire shares when restructuring a business. The focus will be on these principles to provide guidelines from which taxpayers can determine the interest deductibility with respect to share purchasing transactions. The study will indicate recommendations to South African legislation based on the findings of alternative treatments applied by Canada and Australia.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".