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Record W4396666214 · doi:10.59403/121sv1t035

Chapter 35: Canada: Transfer Pricing Adjustment after a Competent Authority Agreement: Sifto Canada Corp. v. The Queen

2019· book-chapter· en· W4396666214 on OpenAlexaboutno aff
D.G. Duff

Bibliographic record

VenueTax treaty case law around the globe. · 2019
Typebook-chapter
Languageen
FieldBusiness, Management and Accounting
TopicTaxation and Legal Issues
Canadian institutionsnot available
Fundersnot available
KeywordsQueen (butterfly)Transfer (computing)Transfer pricingPolitical scienceEconomicsLawComputer scienceZoologyBiology

Abstract

fetched live from OpenAlex

Why this book? This book is a unique publication that gives a global overview of international tax disputes on double tax conventions and thereby fills a gap in the area of tax treaty case law. It covers the 35 most important tax treaty cases that were decided around the world in 2017. The systematic structure of each chapter allows for the easy and efficient study and comparison of the various methods adopted for applying and interpreting tax treaties in different cases. With the continuously increasing importance of tax treaties, Tax Treaty Case Law around the Globe 2018 is a valuable reference tool for anyone interested in tax treaty case law. This book is of interest to tax practitioners, multinational businesses, policymakers, tax administrators, judges and academics. Downloads Sample excerpt, including table of contents This book is part of the Tax Treaty Case Law around the Globe Series View other titles in the series Editor(s) Eric C.C.M. Kemmeren, professor of international tax law and international taxation and Chairman of the Tax Economics Department of the Fiscal Institute Tilburg of Tilburg University, the Netherlands, and member of the board of the European Tax College. Peter Essers, professor of tax law and Chairman of the Tax Law Department of the Fiscal Institute Tilburg of Tilburg University, the Netherlands, and member of the board of the European Tax College. Daniël S. Smit, professor at the Fiscal Institute Tilburg of Tilburg University, the Netherlands. Cihat Öner, associate professor at the Fiscal Institute Tilburg of Tilburg University, the Netherlands. Michael Lang, professor and Head of the Institute for Austrian and International Tax Law, WU (Vienna University of Economics and Business). Jeffrey Owens, professor and Head of the Global Tax Policy Center at the Institute for Austrian and International Tax Law, WU (Vienna University of Economics and Business). Pasquale Pistone, professor at the Institute for Austrian and International Tax Law, WU (Vienna University of Economics and Business), associate professor at the University of Salerno, Italy, and Academic Chairman of IBFD. Alexander Rust, professor at the Institute for Austrian and International Tax Law, WU (Vienna University of Economics and Business). Josef Schuch, professor at the Institute for Austrian and International Tax Law, WU (Vienna University of Economics and Business). Claus Staringer, professor at the Institute for Austrian and International Tax Law, WU (Vienna University of Economics and Business). Alfred Storck, professor at the Institute for Austrian and International Tax Law, WU (Vienna University of Economics and Business). Contributor(s) Ricardo García Antón, Paolo Arginelli, Philip Baker, Michael Beusch, Yariv Brauner, Graeme Cooper, Tsilly Dagan, David G. Duff, Craig Elliffe, Peter Essers, Søren Friis Hansen, Guilherme Galdino, Werner Haslehner, Roland Ismer, Eric C.C.M. Kemmeren, Guglielmo Maisto, Christoph Marchgraber, Adolfo Martín Jiménez, João Félix Pinto Nogueira, Cihat Öner, Lysandre Papadopoulos, Katerina Perrou, Cees Peters, Marilyne Sadowsky, Luís Eduardo Schoueri, D.P. Sengupta, Daniël S. Smit, Mirna Solange Screpante, A.J.A. Ton Stevens, Karolina Tetłak, Anne Van de Vijver.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.981
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.189
Teacher spread0.175 · 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 teacher head, not a consensus.

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

Citations0
Published2019
Admission routes1
Has abstractyes

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