Financing Foreign Affiliates: An Overview of the Canadian Proposals and the Rules in Selected Countries
Bibliographic record
Abstract
This article discusses the policy aspects of the March 2007 federal budget proposals and the May 2007 revised proposals concerning the deductibility of interest expense relating to certain foreign investments. It also provides an overview of recent developments concerning the measurement and taxation of foreign income in a number of other countries. Readers should note that this article was submitted for publication in mid-September 2007. Soon after, on September 21, 2007, the Canadian and US governments concluded their negotiations on the fifth protocol to the Canada-US income tax convention, which will amend the treaty provisions on source-country taxation of certain interest income. Then, on October 2, 2007, the Department of Finance released draft legislation to implement the new interest deductibility rules, followed by a notice of ways and means motion tabled in the House of Commons on November 13, 2007. These developments are noted but not discussed in detail in the article.
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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 | 0.008 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.017 |
| Science and technology studies | 0.012 | 0.006 |
| Scholarly communication | 0.017 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".