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Record W2944256642

Interaction of the Foreign Affiliate Surplus and Safe-Income Regimes: Selected Anomalies, Issues, and Planning Considerations

2018· preprint· en· W2944256642 on OpenAlexaboutno aff
Jim Samuel

Bibliographic record

VenueRePEc: Research Papers in Economics · 2018
Typepreprint
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Taxation and Avoidance
Canadian institutionsnot available
Fundersnot available
KeywordsDividendContext (archaeology)Scope (computer science)Capital gainIncome taxCapital (architecture)Government (linguistics)EconomicsBusinessParent companyPublic economicsSubsidiaryAccountingMultinational corporationFinance
DOInot available

Abstract

fetched live from OpenAlex

In the 2015 budget, the Canadian government introduced sweeping amendments to section 55 of the Income Tax Act. These amendments include two new purpose tests that apply in determining whether subsection 55(2) applies to recharacterize an otherwise "tax-free" intercorporate dividend paid between two Canadian-resident corporations as a capital gain that is subject to tax. Given the broad scope of, and the uncertainty arising from, these new purpose tests, it will now likely be more common for corporations to, where possible, rely on the safe-income exception. These circumstances could include, for example, the payment of an intercompany dividend by a wholly owned Canadian subsidiary to its parent company. Furthermore, if that subsidiary owns, directly or indirectly, one or more foreign affiliates, it is possible that all or a portion of the surplus pools of one or more of those affiliates could, in certain circumstances, form an integral part of a safe-income calculation. This article provides a comparison of the fundamental aspects of these two regimes, with a particular focus on some of the more commonly encountered anomalies, issues, and planning considerations that can arise in the context of their interaction. The analysis presented by the author shows that, although the two regimes have a similar computational objective, the interplay between them can at times be uneasy and can give rise to unexpected results.

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)0.003
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.047
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0020.006
Scholarly communication0.0070.007
Open science0.0020.003
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0080.000

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 head0.040
GPT teacher head0.298
Teacher spread0.258 · 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 designTheoretical or conceptual
Domainnot available
GenreEmpirical

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
Published2018
Admission routes1
Has abstractyes

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Same venueRePEc: Research Papers in EconomicsSame topicCorporate Taxation and AvoidanceFrench-language works237,207