‘n Ondersoek na die inkomstebelastinghantering van beëindigingsboetes betaalbaar deur verhuurders by die voortydige beëindiging van ‘n huurooreenkoms
Bibliographic record
Abstract
The premature termination of lease agreements is a common occurrence in the South African and international business arena. When a lease is terminated prematurely, it is currently the practice that the person who terminates the lease agreement has to pay a termination penalty. This article investigates the income tax treatment possibilities of the penalty paid by a lessor. For purposes of this investigation the income tax treatment of lease termination penalties in Australia, Canada, the United States of America and South Africa are investigated. This is done in order to identify guidelines and principles that could possibly be used in a South African context, which may lead to the efficient and correct treatment of lease termination penalties for South African income tax purposes. The investigation concludes that the factors surrounding the lease termination transaction as well as the intention of the parties involved, will determine the appropriate income tax treatment of the penalty. The question must be asked whether or not the termination penalty was incurred as part of a ‘profit-making scheme’ and what happens after the penalty has been incurred. It is recommended that, where the penalty is deemed to be capital in nature, the merit of allowing some sort of capital allowance (similar to the one used in the United States of America) should be investigated.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".