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Record W3122228685 · doi:10.1515/ael-2015-0019

GAARs and the Nexus between Statutory Interpretation and Legislative Drafting: Lessons for the U.S. from Canada

2016· article· en· W3122228685 on OpenAlexaboutno aff
Reuven S. Avi-Yonah, Amir Pichhadze

Bibliographic record

VenueAccounting Economics and Law - A Convivium · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicTaxation and Legal Issues
Canadian institutionsnot available
Fundersnot available
KeywordsTaxpayerDoctrineStatutory interpretationLaw and economicsLegislatureStatutory lawPolitical scienceStatuteTax lawLawEconomicsTax reform

Abstract

fetched live from OpenAlex

Abstract Rules targeting specific known schemes are not the only tools available in the battle against tax avoidance. Legal systems also use measures that apply generally. The U.S. for example has tended to rely heavily on general doctrines. One such doctrine which is discussed in part 2 of this chapter is the “economic substance” doctrine. Yet as Xiong and Evans recently pointed out “although such judicial doctrines can be used to deal with various aspects of complicated tax abuse judges tended sometimes to limit and sometimes to enlarge the scope of jurisprudential interpretation leading to substantial uncertainty and risk.” One way to limit the discretionary power of judges and overcome the uncertainty apparent in their judgments is by formalizing the doctrines as the US has done by codifying the “economic substance” doctrine in 2010. As explained in part 2 of this chapter a limitation of the “economic substance” doctrine whether it is established judicially or codified by statute may be its focus on the taxpayer’s intentions as the basis for attacking tax avoidance. Part 3 of this chapter goes on to explain that the U.S. could overcome this limitation by adopting a statutory General Anti-Abuse Rule (“GAAR”). GAARs also impose generally applicable limits on what constitutes acceptable (reasonable) tax arrangements. But they do so based on whether the arrangements are consistent with the legislature’s intentions as they were conveyed in the tax provision which the taxpayer is relying on for achieving the tax advantage in question. As Canada’s Federal Court of Appeal (“FCA”) explained “by confining legitimate tax avoidance to schemes that are not inconsistent with the policy underlying the statutory provision invoked by the taxpayer GAAR effectively limits the scope of the principle in Commissioners of Inland Revenue v. Duke of Westminster… that ‘[e]very man is entitled if he can to order his affairs so that the tax attaching under the appropriate Acts is less than it would otherwise be’.” Based on Canada’s experience with the GAAR parts 4 and 5 identify and explain the nexus between statutory interpretation and legislative drafting and the implications of this nexus on the application of a GAAR in the U.S. should Congress choose to take this route. Part 4 identifies that while the Supreme Court of Canada (“SCC”) has recognized the need to apply a purposive interpretation of Canada’s GAAR in order to ascertain parliament’s intentions in the relevant tax provision the court has also held that it will only give effect to those intentions which were clearly conveyed by the relevant provision and will not invent a legislative intention which parliament has failed to convey. Part 5 notes that such judicial restraint has also been taken by the U.S. Supreme Court and therefore a similar approach could be expected by the U.S. courts should Congress adopt a GAAR. Therefore it would be up to Congress as it is similarly up to Canada’s Parliament to carefully and clearly draft its legislative intentions otherwise the effectiveness of a GAAR would be undermined.

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)0.010
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.282
Threshold uncertainty score0.833

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.028
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.007
Science and technology studies0.0200.015
Scholarly communication0.0140.005
Open science0.0030.003
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0110.001

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.

Opus teacher head0.014
GPT teacher head0.210
Teacher spread0.196 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations3
Published2016
Admission routes1
Has abstractyes

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