International Tax Planning: The Preacquisition Surplus Election: More Than Meets the Eye?
Bibliographic record
Abstract
Regulation 5901(2)(b) permits a corporation resident in Canada (CRIC) to make an election in respect of a dividend paid by a foreign affiliate of the CRIC such that the dividend will be treated as a reduction to the adjusted cost base of the foreign affiliate shares on which it is paid, rather than as a distribution from the foreign affiliate's surplus pools. Making this "preacquisition surplus election" is often perceived as a straightforward, and administratively simple, way for the CRIC to ensure that the dividend does not result in the unwanted, and potentially adverse, distribution of the foreign affiliate's surplus pools. However, as this article points out, it is important that a CRIC undertake a detailed analysis before deciding to make the election, in order to avoid potential exposure to unintended consequences. This article provides an overview of the legislative history of the election and its underlying policy rationale, and describes the limitations of and restrictions on its use. The authors present some conceptual guidelines (along with examples of their application) for identifying certain circumstances in which the making of the election may be particularly favourable or unfavourable. They also compare and contrast this election with the "qualifying return of capital" (QROC) election under subsection 90(3), which may be available in some circumstances as an alternative mechanism for achieving a similar result.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.008 | 0.012 |
| Scholarly communication | 0.017 | 0.008 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.008 | 0.013 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".